Matrix, an acclaimed industry-leading manufacturer of Telecom and Security solutions is enthusiastically gearing up to showcase its plethora of pioneering solutions at the GITEX Technology Week 21. The event is being conducted at the Dubai World Trade Centre, Dubai from 17th-21st October’21. Since its inception, the exhibition has always been a witness of first-hand technologies that are tailored to redefine the way the high-end technological world functions. Launching telecom solut...
The 5 new Wisenet P series AI NVRs (Network Video Recorders) launched by Hanwha Techwin are able to apply AI metadata to images captured by most non-AI Wisenet cameras, allowing users to quickly and accurately search for people, and vehicles. Deep Learning AI video analytics The licence-free Deep Learning AI video analytics onboard the NDAA-compliant NVRs offer a wide range of search criteria, including, for example, looking for people of a certain age group or gender, as well as whether they...
Security contractors can no longer afford to simply complete a project and move on to the next job without creating recurring service revenues and an ongoing commitment to the customer. iDter, which stands for intelligent and immediate deterrence of crime, recently launched a complete commercial security solution and partnership programme with the ability to generate RMR streams through its unique technology footprint. A fully integrated and automated security solution, iDter is proven to foil...
Pyronix announces the release of its ZEM8/E+P-BOX; a sleek and modern RS485 expander that adds 8 zones to any expandable Pyronix wired or hybrid system. Suitable for either residential or commercial settings, the ZEM8/E+P-BOX is a neat solution for refined, adaptable, and convenient zone expansion. Pyronix Marketing Director, Laurence Kenny, said, “We’re pleased to introduce the ZEM8/E+P-BOX to the market; bringing a sleek and modern design to panel zone expansion with optimised ins...
Dahua Technology, a video-centric smart IoT solution and service provider, is introducing its Dahua DeepHub Smart Interactive Whiteboard – an IFPD (Interactive Flat Panel Display) device designed for modern meeting rooms and remote communication demands. Based on customer needs of digital transformation, Dahua Technology has been exploring the video conferencing market for years and has utilised its technological innovation capability to equip Dahua DeepHub with a user-friendly...
Teledyne FLIR, part of Teledyne Technologies Incorporated, has announced the release of new additions to its perimeter security portfolio for critical infrastructure. Teledyne’s Elara R-Series commercial ground security radars and the Triton FH-Series multi-spectral fixed cameras. Strengthening perimeter security A first for Teledyne FLIR, the Elara R-Series is the ideal commercial radar system for industrial commercial applications, increasing detection coverage, auto-tracking, dynamic...
Hanwha Techwin, a supplier of IP and analogue video surveillance solutions, launches one of its most advanced line-up of security cameras to date with the new X-Core AI and X-Plus AI series. Featuring Hanwha’s advanced artificial intelligence (AI) and deep-learning technologies, the new cameras offer AI-based object detection for false alarm reduction analytics, AI-enhanced image quality and edge-based business intelligence. The new NDAA compliant lineup brings the power of AI to Hanwha Techwin’s popular X series. Simple magnetic mount The X-Core and X-Plus cameras feature a powerful suite of licence-free, in-camera analytics that improve operator efficiency for both real-time event notification and post-event search. The X-Plus camera line continues the promise of modular design started with the previous generation of X-Plus cameras with a simple magnetic mount for camera modules. Bringing AI to the Wisenet X series line represents a major leap forward in features and capabilities" Users with existing X-Plus cameras can simply snap AI-powered X-Plus camera modules in a place where desired. “Bringing AI to the Wisenet X series line represents a major leap forward in features and capabilities for our customers and resellers,” said Ray Cooke, Senior Vice President - Products, Solutions, and Integrations at Hanwha Techwin America. “This amazing technology is now more accessible than ever as we continue to be leaders in the industry.” Identifying object movement The new X series cameras utilise AI to detect and classify people, vehicles, faces, licence plates and more in real-time. With a range of available resolutions from 2MP to 4K, the cameras’ deep-learning algorithms can reliably identify multiple distinct objects. False alarms due to non-interesting motion, like wind-blown trees, shadows, or animals are significantly reduced. Analytics become a reliable second pair of eyes to operators helping them know where to look for important real-time events while making post-event forensic searches highly efficient. AI can also play an important role in image quality. WiseNR II noise reduction is a new enhancement which utilises AI to identify object movement and reduce blur in noisy, low light environments. AI-based preferred shutter technology automatically adjusts the shutter speed based on classified objects in motion and the lighting conditions in a scene to reduce motion blur and deliver the clearest images. Scene analysis technology WiseStream III technology adjusts the video encoder to focus maximum video quality on the detected objects By utilising the results of AI-based object detection, WiseStream III technology adjusts the video encoder to focus maximum video quality on the detected objects in a scene while scaling back encoding on the rest of the scene. When combined with H.265 compression technology, this user-adjustable feature can provide data reduction of up to 80% depending on the environment. Wisenet X AI’s extreme WDR uses scene analysis technology to optimise differences such as tone and contrast during frame synthesis to minimise motion artifacts. In addition, local contrast enhancement technology, which emphasises high-frequency areas step by step, improves the detail and clarity of images. AI-based analytics WiseIR technology adjusts the output of the IR LEDs according to the cameras’ zoom magnification. In a wide field of view, it minimises dark areas on the outside of the image using the IR LEDs uniformly. When the lens is focused more narrowly (telephoto), the IR LEDs are more concentrated to illuminate distant objects. WiseIR technology adjusts the output of the IR LEDs according to the cameras’ zoom magnification AI-based analytics aren’t just for security, they also bring a wealth of actionable data to operations, marketing and sales departments. With AI-based object detection, businesses can obtain highly accurate people counts, queue management data and heat maps showing detailed patterns of behaviour. Modular magnetic design In addition to supporting all the new features of X-Core line, X-Plus cameras also feature: Modular magnetic design to simplify installation and upgrades Support for up to 120fps for smoothest motion capture Power redundancy failover to prevent reboot if one power source is lost Cybersecurity certification – X-Plus Trusted Platform Module (TPM 2.0) is FIPS 140-2 certified Longer focal length model available with up to 70 meter IR distance Extra range tilt angle up to 85° Hard-coated dome bubble Power redundancy fail over X-Core enhancements are as follows: Cybersecurity certification – X-Core UL-CAP certified Extra range tilt angle up to 75° Hard-coated dome bubble All cameras come with a range of motorised varifocal lenses offering multiple fields of view to suit project requirements.
Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe, champions the use of the DORI standard, as the starting point for designing a video surveillance system and how in doing so, one can ensure that the specified cameras are able to cost-effectively meet the end-user’s expectations. The quality of the images that can be captured by many of the latest generations of super-high definition video surveillance cameras are simply breathtaking, allowing users to see ultra-sharp detail of objects and people within the field of view. 4K and 8K high-resolution cameras The resolution capabilities of 4K and 8K cameras, for example, enables operators to digitally zoom in to see a non-pixelated image of just a very small part of a scene, making them an ideal solution for large open area applications, where installing multiple cameras may be impractical or cost-prohibitive. The deployment of ultra-high-resolution cameras, however, comes at a price, in that they all capture large file size images which, when transmitted over the network, consume large amounts of bandwidth. They also have large data storage requirements. Proprietary compression technologies Some camera manufacturers, such as Hanwha Techwin, have developed proprietary compression technologies Some camera manufacturers, such as Hanwha Techwin, have developed proprietary compression technologies which, when working in conjunction with H.265 compression, are able to reduce bandwidth and storage demands by up to 80%. It is, however, still wise for system designers to question, if it is really necessary to specify the highest resolution camera available, bearing in mind the higher initial capital cost, as well as ongoing network and storage requirements, even if they are reduced by complementary compression technology. DORI helps specify the ideal camera The phrase ‘horses for courses’ comes to mind, when thinking about what system designers need to take into consideration when deciding on the best camera model for each location and objective. In this respect, the design of the system must obviously reflect the finding of the risk assessment and take into account an end-user client’s operational requirements. They may, for example, need to capture high-quality, evidence-grade images, which will identify an individual or able to verify an intruder alarm event. DORI - Detection, Observation, Recognition and Identification While many system integrators will be familiar with DORI, installers who are relatively new to the world of video surveillance, perhaps do not know that the IEC EN62676-4 international standard provides time-saving guidance, as to which cameras should be specified. So, for those who are not familiar with the standard, listed below is an overview of what the DORI acronym stands for: Detection: The quality of images captured by a camera allows a user to determine, whether a person or vehicle is present. Observation: The captured images are able to provide characteristic details of an individual, such as their clothing. Recognition: The clarity of the images enables operators to see with a high level of certainty that an object or incident is the same as the one that an operator has seen before, e.g. it is a person, vehicle or a fire. Identification: The resolution and quality of the images enable an individual to be identified beyond a reasonable doubt. Cameras ability to achieve DORI defined objectives The ability of a camera to achieve these DORI-defined objectives will depend on a number of factors, such as the resolution, lighting and the amount of movement within the scene. In terms of ‘Observation’, it is worth noting that sequential low-resolution images can provide as much detail (albeit of a different nature) for the human brain to process, than high resolution still images, i.e. the movement of a vehicle is very different to that of someone walking. As an example, a 4-megapixel camera in daylight conditions should deliver the following: Objective 2.88mm lens 3.6mm lens 120 metres Detection 43 metres 80 metres 120 metres Observation 17 metres 32 metres 48 metres Recognition 9 metres 16 metres 24 metres Identification 4 metres 8 metres 12 metres However, the maximum distance that there can be between a camera and an object, in order to meet one of the above requirements, will vary depending on the lighting conditions, the compression format, camera locations and other factors. Sensitivity of the camera sensors The sensitivity of the camera sensors used by different camera manufacturers will also vary The sensitivity of the camera sensors used by different camera manufacturers will also vary and in this respect, Hanwha Techwin’s online Toolbox Plus enables system integrators to compare the specifications of its Wisenet cameras side-by-side and compile a list of the products required for a specific project. There is also the added benefit of being able to generate a report on the estimated bandwidth and storage requirements for the project. It seems almost too simple, but using DORI as a guide for designing a new video surveillance solution, will ensure no wastage of money, by over-specifying the cameras needed for the job in hand. Equally important, the reverse also applies in that the DORI standard will help to avoid experiencing ‘buyers’ remorse’, as a result of installing cameras that are not fit for purpose. Other key factors, such as IR illumination and WDR functionality It is important, however, to bear in mind that DORI is a guide to ensuring that an unsuitable camera is not specified, but on its own is not going to choose the perfect camera for a job. Other requirements need to be taken into consideration, such as if the camera will need to have built-in IR illumination and/or have good WDR functionality because it will be pointing towards an outside window and will have to deal with variable lighting conditions. As always, the best advice is therefore to work with manufacturers you believe you can trust and ask them to confirm that you have made the correct camera choice.
Hanwha Techwin, a global supplier of IP and analogue video surveillance solutions launched Wisenet Road AI, a powerful new line of Automatic License Plate Recognition (ALPR) cameras that feature Make, Model, and Colour Recognition (MMCR) to identify vehicles using AI technology. The cameras, together with a powerful edge-based application, support real-time viewing, event monitoring, forensic search, and a range of widgets and graphs that display daily/weekly/monthly traffic statistics. Road AI edge-based app With multiple types of classifications including car, SUV, van, light commercial vehicle, truck, bus, and motorcycle, users can search based on several attributes including date/time, license plate, photo, type, brand, model, and colour. In addition to displaying plate and vehicle attributes, the Road AI edge-based app also supports black/white list event notifications. Event notifications, descriptive metadata, and traffic metrics are always accessible, even with a simple browser interface As a standalone system, the application can support up to 10,000 detailed records, including the images of plates and vehicles, on the LPR camera’s internal SD card. In addition to camera-based storage and search features, Wisenet Road AI is integrated with popular VMS providers such as Genetec, Milestone, and Hanwha’s Wisenet WAVE. Event notifications, descriptive metadata, and traffic metrics are always accessible, even with a simple browser interface. Equipped with long-range IR For low-mid speed applications, the PNV-A9081RLP and PNO-A9081RLP cameras are ideal for community traffic observation and parking applications. For higher speed applications, the new global shutter-based TNO-7180RLP supports LPR and MMCR at up to 155 MPH with 18x zoom and powerful IR for long-range reads up to 165 feet at any time of day. High-resolution sensors The cameras are also easy to install due to their wide angles and high-resolution 4K sensors Wisenet Road AI cameras, with the embedded and permanently licensed Road AI application, are unique in that they require no external application to read license plates or other vehicle attributes. The cameras are also easy to install due to their wide angles and high-resolution 4K sensors. This allows more flexibility and deployment options than traditional LPR cameras that must be carefully lined up to capture numbers accurately. AI and deep learning benefits “Our goal was to design a new generation of cost-effective LPR cameras that deliver the benefits that deep learning AI algorithms can provide, in terms of both image quality and data capture performance,” said Ray Cooke, Senior Vice President - Products, Solutions, and Integrations at Hanwha Techwin America. “The ease of installation, enhanced accuracy, and meaningful traffic insights derived from the Road AI solution brings a new level of intelligence to businesses, campuses, and smart city developers.” The new Wisenet Road AI solution will be on display at Hanwha Techwin’s booth #1641 at GSX 2021.
HID Global, a globally renowned company in trusted identity solutions, has announced that it is the world’s first ticketing solution provider with a software development kit (SDK) that is fully certified and compliant to Calypso HCE standards, for secure and convenient mobile ticketing on smartphones. SDK certified to Calypso standards The certification specifies how to protect ticket data stored in the mobile device’s wallet, helping transport operators to effectively fight fraud, by preventing tickets from being duplicated, transferred or altered. “Calypso Networks Association (CAN) is pleased to issue to the HID SOMA Atlas 4Digital SDK, this first certificate of compliance, with the security requirements established for the HCE Calypso mobile ticketing application. This solution offers transport operators flexible, fast and secure solutions that comply with the principles of the most stringent mobile security programmes,” said Philippe Vappereau, the Chief Executive Officer (CEO) of the Calypso Networks Association (CNA). Open standard for contactless ticketing applications Calypso Host Card Emulation (HCE) standard extends the success of CNA standards to mobile devices Relied on by public transportation networks and cities around the world, Calypso is an open standard for contactless ticketing applications, in which Calypso cards and NFC mobile phones are used. The Calypso Host Card Emulation (HCE) standard extends the success of CNA standards to mobile devices and the Calypso HCE Security Certification (CHSC) combines a state-of-the-art evaluation methodology, with the most stringent requirements of mobile security programmes. Security-by-design approach for identity solutions “Being at the forefront of achieving this certification underscores HID’s long-standing commitment to a security-by-design approach, to building trusted identity solutions for our customers,” said Cesare Paciello, the Vice President, Events & Mobility Solutions with HID Global. Cesare Paciello adds, “Following HID’s world’s first certification for Calypso Light in 2018, this new industry-first milestone positions HID to continue leading the way for public transportation networks to implement next-generation automated fare collection solutions. In addition to delivering advanced security to safeguard against cloning, eavesdropping and other cyber threats, the HID SOMA Atlas 4Digital SDK enables easier, more streamlined mobile ticketing.” Mobile tickets, powered by HID SOMA Atlas 4Digital SDK Mobile tickets, powered by the HID SOMA Atlas 4Digital SDK, can be used with Near-Field Communication (NFC)-enabled smartphones, just like any paper or card-based tickets that meet the Calypso standard. The HID SDK also enables transport operators and authorities to greatly expand the range of devices that customers can ‘tap to pay’ for travel using Android smartphones and other NFC devices. Additionally, passengers can also use their mobile devices to add funds (‘top-up’) their Calypso-based transport cards, making it even easier to pay and use public transport, while minimising physical contact. HID Events & Mobility Solutions HID Events & Mobility Solutions provide end-to-end ticketing solutions, including transportation ticketing terminals, data capturing software, key management capabilities, RFID paper tickets, smart card tokens, smart wristbands and other components. Its multi-application operating systems can be integrated with existing hardware.
Surveillance monitoring for small and medium-sized sites could be a tough challenge at night. Options are often limited to day/night cameras and low-light cameras (sometimes referred to as Starlight cameras). These devices continue to provide colour images when lighting levels reduce up to a point but switch to black and white when they deteriorate further. But to maintain colour images in low light conditions with these cameras, other aspects of the image – such as noise and definition – are often compromised. Cameras trying to maintain colour images at night often struggle when there is movement in the scene, or when there’s a wide dynamic range (the difference between the lightest and darkest parts of a scene). So how to ensure clear colour images at night? Here are 3 tips to do that: 1. Use a dual-lens camera Various types of low-light cameras are gradually becoming in demand. According to an IHS Markit report in 2019, the number of video cameras equipped with advanced low-light functionality was set to rise significantly, from 4.75 million in 2015 to 51 million by 2022. A dual-lens camera, as its name indicates, offers two lenses: one to capture lightness information, the other to capture colour information. Dahua Full-colour 2.0 series also offers cameras with other intelligent features such as the varifocal lens and 4K Dahua Full-colour 2.0 The upgraded Dahua Full-colour 2.0 network camera series is equipped with such specifications. With pixel-level frame-by-frame mapping, the dual-lens cameras of this series present high image definition and vivid colours even when the supplementary white light is off, thus reducing light pollution and attraction of insects that can adversely affect the monitoring of the scene. What’s more, these cameras also feature the AA (Active Alignment) process, which perfectly aligns the incoming light with the sensor. Full-colour cameras are available in dome, bullet, box, and eyeball formats. Aside from dual-lens cameras, the Dahua Full-colour 2.0 series also offers cameras with other intelligent features such as the varifocal lens and 4K resolution. 2. Use IR and white light together IR light and white lights are common cameras supplementary lights. Depending on how you use them, it can relatively affect the quality of images in low-light environments or during nighttime. Nevertheless, excessive use of white light contributes to light pollution, especially in urban areas. Dahua’s TiOC 2.0 Dahua’s TiOC (three-in-one camera) 2.0 – due to be launched in September – is equipped with Smart Dual Illuminators, which allow users to flexibly switch between IR mode and White Light mode (also referred to as Full-colour mode) based on their monitoring requirements. Default illumination is provided by the built-in IR illuminator. When a person enters the monitoring area, the white light is triggered and Full-colour mode is activated. When a target leaves the area, the LED turns off and the IR illuminator turns back on, significantly reducing light pollution in the area. TiOC 2.0 cameras also have the addition of VoiceCatcher technology that enhances sound quality and pickup Moreover, powered by OPC (Optical Path Compensation) technology, the TiOC 2.0 cameras can correct the angle of refraction of different light rays, allowing Dahua IPCs to output brighter and clearer black & white images with an F1.0 large-aperture lens. It also has the addition of VoiceCatcher technology which is a dual mic array that enhances sound quality and pickup performance. Cameras in the TiOC 2.0 series come in 8MP, 5MP, or 4MP versions. 3. Use automatic tracking Automatic tracking is an innovative feature that transforms manually controlled PTZ cameras into automated tracking systems that keep a moving target in focus and centered in the frame. It automatically follows/tracks the target within its field of view. Dahua’s TiOC 2.0 with Auto Tracking 3.0 The TiOC 2.0 series is equipped with Auto Tracking 3.0. It is based on a deep-learning algorithm using the camera’s pan, tilt, and zoom functions to automatically track pre-defined moving targets even in environments with low illumination or during nighttime. It provides a smooth tracking process through the deep fusion of intelligent and focusing algorithms and can track targets up to a distance of 870 meters. With the Auto Tracking 2.0 algorithm as its foundation, the requirements for the tracking size of the target are further reduced, making the target size smaller and the tracking distance longer. Conclusion Difficulties in night-time monitoring have been alleviated, thanks to continuous technological innovations that made colour monitoring in low-light conditions possible. Dahua Full-colour cameras – whether standalone or as part of the TiOC series – can deliver enhanced images and surveillance whatever the time of day or night. By utilising low-light cameras with dual-lens, smart dual illuminators, and automatic tracking, users do not have to put up with poor, unusable images at night, making these devices ideal for small and medium-sized application scenarios such as villas, parking lots, and retail shops.
Panasonic i-PRO EMEA is using The Security Event 2021 in Birmingham, one of Europe’s first large-scale security events, to be held face-to-face in 15 months, to share news about the newly-founded independent company that has been transferred from Panasonic. Gerard Figols will be leading the security market expansion of the new company, as it becomes an independent organisation from Panasonic, effective October 1, 2021. Innovative i-PRO products Gerard Figols, who moves from heading Panasonic’s European Total Security business unit, will use the company’s new agility to quickly respond to market developments, delivering more high-quality products, in shorter development times and at good value for money. The objective is to make innovative i-PRO products more available and accessible and increase overall competitiveness. Aligned with these goals, Panasonic i-PRO EMEA also aims to lead the widespread AI (Artificial Intelligence) technology adoption in the security camera market, by making AI the new standard. The Security Event 2021 At The Security Event 2021, i-PRO has expanded its line-up with 4 new AI-capable outdoor models At The Security Event 2021, i-PRO has expanded its line-up with 4 new AI-capable outdoor models, with 2 MP resolution in bullet and dome shape. The current AI-capable portfolio includes cameras starting at 2 MP resolution, up to 4K, in order to give all businesses access to the advantages of AI. i-PRO plans to triple the number of cameras in the range, over the next 6 to 12 months. Besides the advantages of cost savings, system reliability and flexibility, at the same level of accuracy as server-based systems, i-PRO AI-driven cameras are open systems that enable any developer to work on their own apps, to run on the cameras. AI-driven outdoor camera models “In order to underline our new direction and the evolution that the company is going through, combining expertise of more than 60 years of industry know-how, with innovative open technology, like AI, we will also begin to use i-PRO as the standalone product identity from April 1st, 2022,” said Gerard Figols, currently Head of Panasonic’s European Total Security business unit. He adds, “It will be the same quality products, introducing additional innovation from the i-PRO brand and its value to bring the product to the next stage in this new era.”
Video surveillance systems are producing more unstructured data than ever before. A dramatic decrease in camera costs in recent years has led many businesses to invest in comprehensive surveillance coverage, with more cameras generating more data. Plus, advances in technology mean that the newest (8K) cameras are generating approximately 800% more data than their predecessors (standard definition). Traditional entry-level solutions like network video recorders (NVRs) simply aren’t built to handle massive amounts of data in an efficient, resilient and cost-effective manner. This has left many security pioneers grappling with a data storage conundrum. Should they continue adding more NVR boxes? Or is there another, better, route? Retaining video data In short, yes. To future proof their video surveillance infrastructure, an increasing number of businesses are adopting an end-to-end surveillance architecture with well-integrated, purpose-built platforms for handling video data through its lifecycle. This presents significant advantages in terms of security, compliance and scalability, as well as unlocking new possibilities for data enrichment. All of this with a lower total cost of ownership than traditional solutions. Security teams would typically delete recorded surveillance footage after a few days or weeks Previously, security teams would typically delete recorded surveillance footage after a few days or weeks. However, thanks to increasingly stringent legal and compliance demands, many are now required to retain video data for months or even years. There’s no doubt that this can potentially benefit investigations and increase prosecutions, but it also puts significant pressure on businesses’ storage infrastructure. Data lifecycle management This necessitates a more intelligent approach to data lifecycle management. Rather than simply storing video data in a single location until it’s wiped, an end-to-end video surveillance solution can intelligently migrate data to different storage platforms and media as it ages. So, how does this work? Video is recorded and analysed on a combination of NVR, hyperconverged infrastructure (HCI) and application servers. Then, it’s moved to resilient file storage for a pre-determined period, where it can be immediately retrieved and accessed for review. Finally, based on policies set by heads of security, data is moved from file storage to highly secure, low-cost archive storage such as an object, tape or cloud. Data is moved from file storage to highly secure, low-cost archive storage Long-term storage This process is known as tiering. It allows businesses to use reliable, inexpensive long-term storage for most of their data, whilst still enabling security pioneers to retrieve video data when the need arises, such as during a compliance audit, or to review footage following a security breach. In a nutshell, it offers them the best of both worlds. Scaling your video surveillance infrastructure can be a headache. Businesses that rely on NVRs – even high-end units with 64 or even 96 hard drives – are finding themselves running out of capacity increasingly quickly. In order to scale, security pioneers then have to procure new boxes. With NVRs, this inevitably involves a degree of guesswork. Should they go for the largest possible option, and risk over provisioning? Or perhaps a smaller option, and risk running out of capacity again? Common management console Security pioneers can easily add or remove storage capacity or compute resources – separately or together As businesses add new cameras or replace existing ones, many end up with inadequate surveillance infrastructure made up of multiple NVR boxes along with several application servers for running other surveillance functions such as access control, security photo databases, analytics, etc. This patchwork approach leaves security pioneers scrambling for capacity, maintaining various hardware footprints, repeating updates and checks across multiple systems, and taking up valuable time that could be better spent elsewhere. By contrast, flexible HCI surveillance platforms aggregate the storage and ecosystem applications to run on the same infrastructure and combine viewing under a common management console, avoiding ‘swivel chair’ management workflows. Plus, they offer seamless scalability. Security pioneers can easily add or remove storage capacity or compute resources – separately or together. Data storage solutions Over time, this ensures a lower total cost of ownership. First and foremost, it removes the risk of over provisioning and helps to control hardware sprawl. This in turn leads to hardware maintenance savings and lower power use. Many security pioneers are now looking beyond simple data storage solutions for their video surveillance footage. Meta tags can provide context around data, making it easier to find and access when needed Instead, they’re asking themselves how analysing this data can enable their teams to work faster, more efficiently and productively. Implementing an end-to-end video surveillance architecture enables users to take advantage of AI and machine learning applications which can tag and enrich video surveillance data. These have several key benefits. Firstly, meta tags can provide context around data, making it easier to find and access when needed. Object storage platform For instance, if security teams are notified of a suspicious red truck, they can quickly find data with this tag, rather than manually searching through hours of data, which can feel like looking for a needle in a haystack. Plus, meta tags can be used to mark data for future analysis. This means that as algorithms are run over time, policies can be set to automatically store data in the right location. For example, if a video is determined to contain cars driving in and out of your premises, it would be moved to long-term archiving such as an object storage platform for compliance purposes. If, on the other hand, it contained 24 hours of an empty parking lot, it could be wiped. These same meta tags may be used to eventually expire the compliance data in the archive after it is no longer needed based on policy. Video surveillance architecture Continuing to rely on traditional systems like NVRs will fast become unsustainable for businesses Even if your organisation isn’t using machine learning or artificial intelligence-powered applications to enhance your data today, it probably will be one, three, or even five years down the line. Implementing a flexible end-to-end video surveillance solution prepares you for this possibility. With new advances in technology, the quantity of data captured by video surveillance systems will continue rising throughout the coming decade. As such, continuing to rely on traditional systems like NVRs will fast become unsustainable for businesses. Looking forward, when moving to an end-to-end video surveillance architecture, security pioneers should make sure to evaluate options from different vendors. For true futureproofing, it’s a good idea to opt for a flexible, modular solution, which allow different elements to be upgraded to more advanced technologies when they become available.
The evolution of smart video technology continues at pace. As in many other industries, the onset of the COVID-19 pandemic expedited timelines and the artificial intelligence (AI) video world is continuing its rapid evolution in 2021. As video demand and the use of AI to make sense of the visual data increase, the number of cameras and subsequent data produced are growing rapidly, and these are forcing the creation of new edge architectures. Cameras and AI in traffic management ‘Smart factories’ can leverage AI to detect flaws or deviations in the production line in real time In addition, a new generation of ‘smart’ use cases has developed. For example, in ‘smart cities’, cameras and AI analyse traffic patterns and adjust traffic lights, in order to improve vehicle flow, reduce congestion and pollution, and increase pedestrian safety. ‘Smart factories’ can leverage AI to detect flaws or deviations in the production line in real time, adjusting to reduce errors and implement effective quality assurance measures. As a result, costs can be greatly reduced through automation and earlier fault detection. Evolution of smart video The evolution of smart video is also happening alongside other technological and data infrastructure advancements, such as 5G. As these technologies come together, they’re impacting how we architect the edge. And, they’re driving a demand for specialised storage. Listed below are some of the biggest trends that we’re seeing: Greater volume means greater quality The volume and variety of cameras continue to increase with each new advancement, bringing new capabilities. Having more cameras allow more to be seen and captured. This could mean having more coverage or more angles. It also means more real-time video can be captured and used to train AI. Quality also continues to improve with higher resolutions (4K video and above) Quality also continues to improve with higher resolutions (4K video and above). The more detailed the video, the more insights can be extracted from it. And, the more effective the AI algorithms can become. In addition, new cameras transmit not just one video stream, but also additional low-bitrate streams used for low-bandwidth monitoring and AI pattern matching. Smart cameras operate 24/7 Whether used for traffic management, security or manufacturing, many of these smart cameras operate 24/7, 365 days a year, which poses a unique challenge. Storage technology must be able to keep up. For one thing, storage has evolved to deliver high-performance data transfer speeds and data writing speeds, to ensure high quality video capture. And, actual on-camera storage technology must deliver longevity and reliability, critical to any workflow. Real world context is vital to understanding endpoints Whether used for business, in scientific research or in our personal lives, we’re seeing new types of cameras that can capture new types of data. With the potential benefits of utilising and analysing this data, the importance of reliable data storage has never been more apparent. Considering context when designing storage technology As we design storage technology, we must take the context into consideration, such as location and form factor. We need to think of the accessibility of cameras (or lack thereof), are they atop a tall building or maybe amid a remote jungle? Such locations might also need to withstand extreme temperature variations. All of these possibilities need to be taken into account, so as to ensure long-lasting, reliable continuous recording of critical video data. Chipsets are improving artificial intelligence (AI) capability Improved compute capabilities in cameras means processing happens at the device level, enabling real-time decisions at the edge. New camera chipsets deliver enhanced AI capability We’re seeing new chipsets arrive for cameras that deliver improved AI capability, and more advanced chipsets add deep neural network processing for on-camera deep learning analytics. AI keeps getting smarter and more capable. Cloud must support deep learning technology Just as camera and recorder chipsets are coming with more compute power, in today’s smart video solutions most of the video analytics and deep learning is still done with discrete video analytics appliances or in the Cloud. To support these new AI workloads, the Cloud has gone through some transformation. Neural network processors within the Cloud have adopted the use of massive GPU clusters or custom FPGAs. They’re being fed thousands of hours of training video, and petabytes of data. These workloads depend on the high-capacity capabilities of enterprise-class hard drives (HDDs), which can already support 20TB per drive and high-performance enterprise SSD flash devices, platforms or arrays. Reliance on the network Wired and wireless internet have enabled the scalability and ease of installation that has fuelled the explosive adoption of security cameras, but it could only do so where LAN and WAN infrastructures already exist. 5G technology aids camera installations Emerging cameras that are 5G-ready are being designed to load and run 3rd party applications 5G removes many barriers to deployment, allowing expansive options for placement and ease of installation of cameras at a metropolitan level. With this ease of deployment comes new greater scalability, which drives use cases and further advancements in both camera and cloud design. For example, cameras can now be standalone, with direct connectivity to a centralised cloud, as they’re no longer dependent on a local network. Emerging cameras that are 5G-ready are being designed to load and run 3rd party applications, which can bring broader capabilities. Yet with greater autonomy, these cameras will need even more dynamic storage. They will require new combinations of endurance, capacity, performance, and power efficiency, to be able to optimally handle the variability of new app-driven functions. Paving the way for the edge storage revolution It’s a brave new world for smart video, and it is as complex as it is exciting. Architectural changes are being made to handle new workloads and prepare for even more dynamic capabilities at the edge and at end points. At the same time, deep learning analytics continue to evolve at the back end and the Cloud. Understanding workload changes, whether at the camera, recorder, or the Cloud level, is critical to ensuring that new architectural changes are augmented by continuous innovation in storage technology.
Perimeter security is by no means a new concept. A phrase used to describe solutions with the primary purpose of limiting access to any area that is prohibited to the public at large, perimeter security has been prevalent for millennia. From Hadrian’s Wall that was built by the Roman Empire in Britain back in AD 122 to the Great Wall of China that winds almost 22,000 kilometers through the Asian country’s eastern regions, it is a concept that remains a fundamental part of global societies today. Fast forward to today and no longer are we reliant on 50-foot-high, 20-foot-thick stone blockades to protect our safety. Perimeter security has evolved over the centuries moving from empires and structures to products and cutting-edge technology and continues to grow today. In fact, in 2020 Perimeter Security was a $61.3 billion industry as more businesses and industries have the need to protect against modern-day threats. This colossal and growing market is powered by industry innovators that are providing advanced solutions that are reliable, integrated, and cost-effective. Layered Perimeter Security Defense The number of perimeter intrusions is a large reason behind the continued surge in security investment, propelled by increasing urbanisation, a growing terror threat, and a plethora of other concerning factors. Most organisations are better equipped to protect people and assets today, yet there is still a need for solutions that can grow with our future needs and the unforeseen challenges ahead. For many, this means moving beyond siloed solutions into a multi-layered, integrated physical security strategy – one that provides the best security posture possible. There are a variety of innovative technologies that can create a holistic perimeter security solution that will transform the defences of any organisation. The question is, what are the technologies and trends shaping perimeter security in 2021 and beyond? Next-Generation Video Surveillance By combining two powerful visualisation technologies in a single form factor, rich data can be captured and deliver more accurate awareness In today’s surveillance market, cameras and video management systems are nothing like those that were available a mere half-decade ago. Cameras now readily feature ultra-HD and 4K resolution that provide an extremely high level of detail, enhancing security teams’ ability to capture evidence and identify perpetrators. This enhanced detail bolsters not only investigation sequences but equally transforms video analytics capabilities, like facial recognition that unlock additional business benefits. Where are cameras heading in the future? Let’s look at Oyla’s cameras as an example. These cameras fuse together artificial intelligence (AI), video, and 3D data, offering a depth camera that can be used to define very accurate intrusion detection perimeters. Its advanced motion detection activates an alert when a user-defined perimeter has been crossed, or if there is a presence in a user-defined area or volume space. By combining two powerful visualisation technologies in a single form factor, rich data can be captured and deliver more accurate awareness and better application of deterrence measures in real-time, versus the evidentiary use of cameras today. Thermal Cameras Thermal cameras are a relatively novel yet growing security phenomenon, having come to the forefront during the pandemic. Where such technology was once a novelty, their widespread application in detecting raised temperatures which might indicate a COVID-19-related fever has seen them become increasingly applied to a broader market in the past 18 months. Not only are these cameras now more accessible, but they have also advanced from a technical perspective. Modern thermal cameras now offer a more accurate thermal resolution, longer detection ranges, ONVIF compliance and edge-based analytics for the benefit of VMS solutions. They are also a useful technology for solving visibility challenges in complete darkness. Radar Radar is a technology that’s increasingly being used in physical perimeter security applications. Capable of conducting 360-degree scans of a property on a continual basis every couple of seconds, it is an extremely powerful intrusion detection technology. Radars stand up better than other technologies in difficult conditions such as smoke and fog. When paired with other sensors, false alarms can also be reduced in these conditions – something that is a major challenge more broadly. While law enforcement responds to millions of security alarms every year, a study from the United States Department of Justice's Office of Community Oriented Policing Services previously showed that between 94 and 98 percent of these turn out to be false, costing as much as $1.8 billion a year in wasted police time and resources. LiDAR What is LiDAR? LiDAR has been around since the 1960s, with one of LiDAR’s first use cases was being attached to aircraft to emit laser light towards the surface of the earth to provide distance readings. Spurred by its necessity for the coming autonomous driving revolution, today, the application of LiDAR technology has become more widespread. It is technologies such as these, designed to reduce the burden of security personnel by conducting the heavy lifting in alarm validation According to research by Fortune Business Insights, the size of the global LiDAR market is set to surpass $6.7 billion by 2026, a monumental increase on the $1.32 billion spent on LiDAR in 2018. In the security space, LiDAR technology is already proving it carries a string of benefits and upgrades on what is currently available on the video surveillance market. The major upside of LiDAR is that like video, it brings a high level of detail to a physical environment that other sensors simply cannot provide. Pairing Lidar with video, machine learning, AI, and other advanced sensor technologies can help validate alarm accuracy. Indeed, it is technologies such as these, designed to reduce the burden of security personnel by conducting the heavy lifting in alarm validation, that we can expect to become increasingly prevalent soon. Drones Often referred to as unmanned aerial vehicles (UAVs), drones are another technology that is becoming both more accessible and more capable from a security perspective. In sizable areas of land or hard-to-reach critical infrastructure sites, drones can be dispatched instead of security personnel as a means of first response to an intrusion alert. They can also work in tandem with thermal imaging, radar, lidar, and next-generation video surveillance technologies, either incorporating them onboard directly or supporting them in wider, integrated security infrastructures. Developing the Right Multi-Layered Perimeter Security Strategy These are just a handful of some of the more progressive perimeter security-centric technologies on the market today. The challenge for many organisations is knowing which solutions will suit their needs and address the challenges of tomorrow. Take the time to understand what you need to protect. Is it people, data, or assets? Where do you feel your potential vulnerabilities may lie? By assessing your risks, you will better understand potential target areas and address them accordingly. For perimeter security, a multi-layered solution will likely be the most secure approach. From basic needs to the more advanced, there are a broad variety of possible solutions available. Yet taking the time to understand which solutions are the most successful, cost-effective, and relevant to your business will yield the best results.
A new generation of video cameras is poised to boost capabilities dramatically at the edge of the IP network, including more powerful artificial intelligence (AI) and higher resolutions, and paving the way for new applications that would have previously been too expensive or complex. Technologies at the heart of the coming new generation of video cameras are Ambarella’s newest systems on chips (SoCs). Ambarella’s CV5S and CV52S product families are bringing a new level of on-camera AI performance and integration to multi-imager and single-imager IP cameras. Both of these SoCs are manufactured in the ‘5 nm’ manufacturing process, bringing performance improvements and power savings, compared to the previous generation of SoCs manufactured at ‘10nm’. CV5S and CV52S AI-powered SoCs The CV5S, designed for multi-imager cameras, is able to process, encode and perform advanced AI on up to four imagers at 4Kp30 resolution, simultaneously and at less than 5 watts. This enables multi-headed camera designs with up to four 4K imagers looking at different portions of a scene, as well as very high-resolution, single-imager cameras of up to 32 MP resolution and beyond. The CV52S, designed for single-imager cameras with very powerful onboard AI, is the next-generation of the company’s successful CV22S mainstream 4K camera AI chip. This new SoC family quadruples the AI processing performance, while keeping the same low power consumption of less than 3 watts for 4Kp60 encoding with advanced AI processing. Faster and ubiquitous AI capabilities Ambarella’s newest AI vision SoCs for security, the CV5S and CV52S, are competitive solutions" “Security system designers desire higher resolutions, increasing channel counts, and ever faster and more ubiquitous AI capabilities,” explains John Lorenz, Senior Technology and Market Analyst, Computing, at Yole Développement (Yole), a French market research firm. John Lorenz adds, “Ambarella’s newest AI vision SoCs for security, the CV5S and CV52S, are competitive solutions for meeting the growing demands of the security IC (integrated circuit) sector, which our latest report forecasts to exceed US$ 4 billion by 2025, with two-thirds of that being chips with AI capabilities.” Edge AI vision processors Ambarella’s new CV5S and CV52S edge AI vision processors enable new classes of cameras that would not have been possible in the past, with a single SoC architecture. For example, implementing a 4x 4K multi-imager with AI would have traditionally required at least two SoCs (at least one for encoding and one for AI), and the overall power consumption would have made those designs bulky and prohibitively expensive. By reducing the number of required SoCs, the CV5S enables advanced camera designs such as AI-enabled 4x 4K imagers at price points much lower than would have previously been possible. “What we are usually trying to do with our SoCs is to keep the price points similar to the previous generations, given that camera retail prices tend to be fairly fixed,” said Jerome Gigot, Ambarella's Senior Director of Marketing. 4K multi-imager cameras “However, higher-end 4K multi-imager cameras tend to retail for thousands of dollars, and so even though there will be a small premium on the SoC for the 2X improvement in performance, this will not make a significant impact to the final MSRP of the camera,” adds Jerome Gigot. In addition, the overall system cost might go down, Gigot notes, compared to what could be built today because there is no longer a need for external chips to perform AI, or extra components for power dissipation. The new chips will be available in the second half of 2021, and it typically takes about 12 to 18 months for Ambarella’s customers (camera manufacturers) to produce final cameras. Therefore, the first cameras, based on these new SoCs, should hit the market sometime in the second half of 2022. Reference boards for camera manufacturers The software on these new SoCs is an evolution of our unified Linux SDK" As with Ambarella’s previous generations of edge AI vision SoCs for security, the company will make available reference boards to camera manufacturers soon, allowing them to develop their cameras based on the new CV5S and CV52S SoC families. “The software on these new SoCs is an evolution of our unified Linux SDK that is already available on our previous generations SoCs, which makes the transition easy for our customers,” said Jerome Gigot. Better crime detection Detecting criminals in a crowd, using face recognition and/or licence plate recognition, has been a daunting challenge for security, and one the new chips will help to address. “Actually, these applications are one of the main reasons why Ambarella is introducing these two new SoC families,” said Jerome Gigot. Typically, resolutions of 4K and higher have been a smaller portion of the security market, given that they came at a premium price tag for the high-end optics, image sensor and SoC. Also, the cost and extra bandwidth of storing and streaming 4K video were not always worth it for the benefit of just viewing video at higher resolution. 4K AI processing on-camera The advent of on-camera AI at 4K changes the paradigm. By enabling 4K AI processing on-camera, smaller objects at longer distances can now be detected and analysed without having to go to a server, and with much higher detail and accuracy compared to what can be done on a 2 MP or 5 MP cameras. This means that fewer false alarms will be generated, and each camera will now be able to cover a longer distance and wider area, offering more meaningful insights without necessarily having to stream and store that 4K video to a back-end server. “This is valuable, for example, for traffic cameras mounted on top of high poles, which need to be able to see very far out and identify cars and licence plates that are hundreds of meters away,” said Jerome Gigot. The advent of on-camera AI at 4K changes the paradigm Enhanced video analytics and wider coverage “Ambarella’s new CV5S and CV52S SoCs truly allow the industry to take advantage of higher resolution on-camera for better analytics and wider coverage, but without all the costs typically incurred by having to stream high-quality 4K video out 24/7 to a remote server for offline analytics,” said Jerome Gigot. He adds, “So, next-generation cameras will now be able to identify more criminals, faces and licence plates, at longer distances, for an overall lower cost and with faster response times by doing it all locally on-camera.” Deployment in retail applications Retail environments can be some of the toughest, as the cameras may be looking at hundreds of people at once Retail applications are another big selling point. Retail environments can be some of the toughest, as the cameras may be looking at hundreds of people at once (e.g., in a mall), to provide not only security features, but also other business analytics, such as foot traffic and occupancy maps that can be used later to improve product placement. The higher resolution and higher AI performance, enabled by the new Ambarella SoCs, provide a leap forward in addressing those scenarios. In a store setup, a ceiling-mounted camera with four 4K imagers can simultaneously look at the cashier line on one side of the store, sending alerts when a line is getting too long and a new cashier needs to be deployed, while at the same time looking at the entrance on the other side of the store, to count the people coming in and out. This leaves two additional 4K imagers for monitoring specific product aisles and generating real-time business analytics. Use in cashier-less stores Another retail application is a cashier-less store. Here, a CV5S or CV52S-based camera mounted on the ceiling will have enough resolution and AI performance to track goods, while the customer grabs them and puts them in their cart, as well as to automatically track which customer is purchasing which item. In a warehouse scenario, items and boxes moving across the floor could also be followed locally, on a single ceiling-mounted camera that covers a wide area of the warehouse. Additionally, these items and boxes could be tracked across the different imagers in a multi-headed camera setup, without the video having to be sent to a server to perform the tracking. Updating on-camera AI networks Another feature of Ambarella’s SoCs is that their on-camera AI networks can be updated on-the-fly, without having to stop the video recording and without losing any video frames. So, for example in the case of a search for a missing vehicle, the characteristics of that missing vehicle (make, model, colour, licence plate) can be sent to a cluster of cameras in the general area, where the vehicle is thought to be missing, and all those cameras can be automatically updated to run a live search on that specific vehicle. If any of the cameras gets a match, a remote operator can be notified and receive a picture, or even a live video feed of the scene. Efficient traffic management With the CV52S edge AI vision SoC, those decisions can be made locally at each intersection by the camera itself Relating to traffic congestion, most big cities have thousands of intersections that they need to monitor and manage. Trying to do this from one central location is costly and difficult, as there is so much video data to process and analyse, in order to make those traffic decisions (to control the traffic lights, reverse lanes, etc.). With the CV52S edge AI vision SoC, those decisions can be made locally at each intersection by the camera itself. The camera would then take actions autonomously (for example, adjust traffic-light timing) and only report a status update to the main traffic control centre. So now, instead of having one central location trying to manage 1,000 intersections, a city can have 1,000 smart AI cameras, each managing its own location and providing updates and metadata to a central server. Superior privacy Privacy is always a concern with video. In this case, doing AI on-camera is inherently more private than streaming the video to a server for analysis. Less data transmission means fewer points of entry for a hacker trying to access the video. On Ambarella’s CV5S and CV52S SoCs, the video can be analysed locally and then discarded, with just a signature or metadata of the face being used to find a match. No actual video needs to be stored or transmitted, which ensures total privacy. In addition, the chips contain a very secure hardware cyber security block, including OTP memory, Arm TrustZones, DRAM scrambling and I/O virtualisation. This makes it very difficult for a hacker to replace the firmware on the camera, providing another level of security and privacy at the system level. Privacy Masking Another privacy feature is the concept of privacy masking. This feature enables portions of the video (say a door or a window) to be blocked out, before being encoded in the video stream. The blocked portions of the scene are not present in the recorded video, thus providing a privacy option for cameras that are facing private areas. “With on-camera AI, each device becomes its own smart endpoint, and can be reconfigured at will to serve the specific physical security needs of its installation,” said Jerome Gigot, adding “The possibilities are endless, and our mission as an SoC maker is really to provide a powerful and easy-to-use platform, complete with computer-vision tools, that enable our customers and their partners to easily deploy their own AI software on-camera.” Physical security in parking lots With a CV5S or CV52S AI-enabled camera, the camera will be able to cover a much wider portion of the parking lot One example is physical security in a parking lot. A camera today might be used to just record part of the parking lot, so that an operator can go back and look at the video if a car were broken into or some other incident occurred. With a CV5S or CV52S AI-enabled camera, first of all, the camera will be able to cover a much wider portion of the parking lot. Additionally, it will be able to detect the licence plates of all the cars going in and out, to automatically bill the owners. If there is a special event, the camera can be reprogrammed to identify VIP vehicles and automatically redirect them to the VIP portion of the lot, while reporting to the entrance station or sign how many parking spots are available. It can even tell the cars approaching the lot where to go. Advantages of using edge AI vision SoCs Jerome Gigot said, “The possibilities are endless and they span across many verticals. The market is primed to embrace these new capabilities. Recent advances in edge AI vision SoCs have brought about a period of change in the physical security space. Companies that would have, historically, only provided security cameras, are now getting into adjacent verticals such as smart retail, smart cities and smart buildings.” He adds, “These changes are providing a great opportunity for all the camera makers and software providers to really differentiate themselves by providing full systems that offer a new level of insights and efficiencies to, not only the physical security manager, but now also the store owner and the building manager.” He adds, “All of these new applications are extremely healthy for the industry, as they are growing the available market for cameras, while also increasing their value and the economies of scale they can provide. Ambarella is looking forward to seeing all the innovative products that our customers will build with this new generation of SoCs.”
Imagine a world where video cameras are not just watching and reporting for security, but have an even wider positive impact on our lives. Imagine that cameras control street and building lights, as people come and go, that traffic jams are predicted and vehicles are automatically rerouted, and more tills are opened, just before a queue starts to form. Cameras with AI capabilities Cameras in stores can show us how we might look in the latest outfit as we browse. That’s the vision from Panasonic about current and future uses for their cameras that provide artificial intelligence (AI) capabilities at the edge. Panasonic feels that these types of intelligent camera applications are also the basis for automation and introduction of Industry 4.0, in which processes are automated, monitored and controlled by AI-driven systems. 4K network security cameras The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications Panasonic’s 4K network security cameras have built-in AI capabilities suitable for this next generation of intelligent applications in business and society. The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications. The AI engine is directly embedded into the camera, thus reducing costs and Panasonic’s image quality ensures the accuracy of the analytics outcome. FacePRO facial recognition technology Panasonic began advancing AI technology on the server side with FacePRO, the in-house facial recognition application, which uses AI deep learning capabilities. Moving ahead, they transitioned their knowledge of AI from the server side to the edge, introducing i-PRO security cameras with built-in AI capabilities last summer, alongside their own in-house analytics. Moreover, in line with the Panasonic approach to focus more on collaboration with specialist AI software developers, a partnership with Italian software company, A.I. Tech followed in September, with a range of intelligent applications, partially based on deep learning. Additional collaborations are already in place with more than 10 other developers, across the European Union, working on more future applications. i-PRO AI-capable security cameras Open systems are an important part of Panasonic’s current approach. The company’s i-PRO AI-capable cameras are an open platform and designed for third-party application development, therefore, applications can be built or tailored to the needs of an individual customer. Panasonic use to be a company that developed everything in-house, including all the analytics and applications. “However, now we have turned around our strategy by making our i-PRO security cameras open to integrate applications and analytics from third-party companies,” says Gerard Figols, Head of Security Solutions at Panasonic Business Europe. Flexible and adapting to specific customer needs This new approach allows the company to be more flexible and adaptable to customers’ needs. “At the same time, we can be quicker and much more tailored to the market trend,” said Gerard Figols. He adds, “For example, in the retail space, enabling retailers to enhance the customer experience, in smart cities for traffic monitoring and smart parking, and by event organisers and transport hubs to monitor and ensure safety.” Edge-based analytics offer multiple benefits over server-based systems Edge-based analytics Edge-based analytics offer multiple benefits over server-based systems. On one hand, there are monetary benefits - a cost reduction results from the decreased amount of more powerful hardware required on the server side to process the data, on top of reduction in the infrastructure costs, as not all the full video stream needs to be sent for analysis, we can work solely with the metadata. On the other hand, there are also advantages of flexibility, as well as reliability. Each camera can have its own individual analytic setup and in case of any issue on the communication or server side, the camera can keep running the analysis at the edge, thereby making sure the CCTV system is still fully operational. Most importantly, systems can keep the same high level of accuracy. Explosion of AI camera applications We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications" “We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications,” said Gerard Figols, adding “However, it doesn’t mean the hardware is not important anymore, as I believe it’s more important than ever. Working with poor picture quality or if the hardware is not reliable, and works 24/7, software cannot run or deliver the outcome it has been designed for.” As hardware specialists, Figols believes that Panasonic seeks to focus on what they do best - Building long-lasting, open network cameras, which are capable of capturing the highest quality images that are required for the latest AI applications, while software developers can concentrate on bringing specialist applications to the market. Same as for smartphones, AI applications will proliferate based on market demand and succeed or fail, based on the value that they deliver. Facial recognition, privacy protection and cross line technologies Panasonic has been in the forefront in developing essential AI applications for CCTV, such as facial recognition, privacy protection and cross line. However, with the market developing so rapidly and the potential applications of AI-driven camera systems being so varied and widespread, Panasonic quickly realised that the future of their network cameras was going to be in open systems, which allow specialist developers and their customers to use their sector expertise to develop their own applications for specific vertical market applications, while using i-PRO hardware. Metadata for detection and recognition Regarding privacy, consider that the use of AI in cameras is about generating metadata for the detection and recognition of patterns, rather than identifying individual identities. “However, there are legitimate privacy concerns, but I firmly believe that attitudes will change quickly when people see the incredible benefits that this technology can deliver,” said Gerard Figols, adding “I hope that we will be able to redefine our view of cameras and AI, not just as insurance, but as life advancing and enhancing.” i-PRO AI Privacy Guard One of the AI applications that Panasonic developed was i-PRO AI Privacy Guard Seeking to understand and appreciate privacy concerns, one of the AI applications that Panasonic developed was i-PRO AI Privacy Guard that generates data without capturing individual identities, following European privacy regulations that are among the strictest in the world. Gerard Fogils said, “The combination of artificial intelligence and the latest generation open camera technology will change the world’s perceptions from Big Brother to Big Benefits. New applications will emerge as the existing generation of cameras is updated to the new open and intelligent next generation devices, and the existing role of the security camera will also continue.” Future scope of AI and cameras He adds, “Not just relying on the security cameras for evidence when things have gone wrong, end users will increasingly be able to use AI and the cameras with much higher accuracy to prevent false alarms and in a proactive way to prevent incidents." Gerard Figols concludes, “That could be monitoring and alerting when health and safety guidelines are being breached or spotting and flagging patterns of suspicious behaviour before incidents occur.”
Artificial intelligence (AI) is more than a buzzword. AI is increasingly becoming part of our everyday lives, and a vital tool in the physical security industry. In 2020, AI received more attention than ever, and expanded the ways it can contribute value to physical security systems. This article will revisit some of those development at year-end, including links back to the originally published content. In the security market today, AI is expanding the use cases, making technologies more powerful and saving money on manpower costs - and today represents just the beginning of what AI can do for the industry. What it will never do, however, is completely take the place of humans in operating security systems. There is a limit to how much we are willing to turn over to machines - even the smartest ones. Beyond video analytics "Apply AI to security and now you have an incredibly powerful tool that allows you to operate proactively rather than reactively," said Jody Ross of AMAG Technology, one of our Expert Roundtable Panelists. AI made its initial splash in the physical security market by transforming the effectiveness of video analytics AI made its initial splash in the physical security market by transforming the effectiveness of video analytics. However, now there are many other applications, too, as addressed by our Expert Panel Roundtable in another article. Artificial intelligence (AI) and machine learning provide useful tools to make sense of massive amounts of Internet of Things (IoT) data. By helping to automate low-level decision-making, the technologies can make security operators more efficient. Biometrics with access control Intelligent capabilities can expand integration options such as increasing the use of biometrics with access control. AI can also help to monitor mechanics and processes. Intelligent systems can help end users understand building occupancy and traffic patterns and even to help enforce physical distancing. These are just a few of the possible uses of the technologies - in the end, the sky is the limit. AI is undoubtedly one of the bigger disrupters in the physical security industry, and adoption is growing at a rapid rate. And it’s not just about video analytics. Rather, it is data AI, which is completely untapped by the security industry. Bottom line: AI can change up your security game by automatically deciphering information to predict the future using a wide range of sources and data that have been collected, whether past, present, and future. That’s right. You can look into the future. Smarter perimeter protection Now, Intrusion Detection (Perimeter Protection) systems with cutting-edge, built-in AI algorithms to recognise a plethora of different object types, can distinguish objects of interest, thus significantly decreasing the false-positive intrusion rate. The more advanced AI-based systems enable the users to draw ROIs based on break-in points, areas of high-valuables, and any other preference to where alerts may be beneficial. AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store Similarly, AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store. The loitering time and region of interest are customisable in particular systems, which allows for a range of detection options. Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video. Meeting urban needs Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. Newer edge computing will play an important role in capturing, collecting, and analysing data. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors. Video data is so rich nowadays, you can analyse it and deduce a lot of valuable information in real-time, instead of post-event. In smart cities applications, the challenge of identifying both physical and invisible threats to meet urban citizens’ needs will demand a security response that is proactive, adaptable and dynamic. Optimise security solutions As we look ahead to the future of public safety, it’s clear that new technologies, driven by artificial intelligence (AI), can dramatically improve the effectiveness of today’s physical security space. For smart cities, the use of innovative AI and machine learning technologies have already started to help optimise security solutions. In sports stadium applications, AI’s role in getting fans and spectators back after the COVID pandemic is huge, through capabilities such as social distance monitoring, crowd scanning/metrics, facial recognition, fever detection, track and trace and providing behavioural analytics. Technologies such as AI-powered collaboration platforms now work alongside National Leagues, Franchises and Governing Bodies to implement AI surveillance software into their CCTV/surveillance cameras. AI surveillance software In many ways, it’s the equivalent of a neighbourhood watch programme made far more intelligent through the use of AI This is now creating a more collaborative effort from the operations team in stadiums, rather than purely security. AI surveillance software, when implemented into the surveillance cameras can be accessed by designated users on any device and on any browser platform. One of the biggest advantages of using AI technology is that it’s possible to integrate this intelligent software into building smarter, safer communities and cities. Essentially, this means developing a layered system that connects multiple sensors for the detection of visible and invisible threats. Integrated systems mean that threats can be detected and tracked, with onsite and law enforcement notified faster, and possibly before an assault begins to take place. In many ways, it’s the equivalent of a neighbourhood watch programme made far more intelligent through the use of AI. Fighting illicit trade Using technology in this way means that thousands of people can be screened seamlessly and quickly, without invading their civil liberties or privacy. AI’s ability to detect visible or invisible threats or behavioural anomalies will prove enormously valuable to many sectors across our global economy. Revolutionary AI-driven technologies can help to fight illicit trade across markets. AI technologies in this specific application promise to help build safer and more secure communities in the future. AI can support the ongoing fight against illicit trade on a global scale in a tangible way. For financial transactions at risk of fraud and money laundering, for example, tracking has become an increasing headache if done manually. As a solution to this labour-intensive process, AI technology can be trained to follow all the compliance rules and process a large number of documents - often billions of pages of documents - in a short period of time.
The Autodromo Internazionale Enzo e Dino Ferrari di Imola is a legendary place for every motoring enthusiast. Since 1953, the Emiliano-Romagnolo circuit is the beating heart of a land historically tied to speed and scene of epic sporting achievements and beyond. “A small Nürburgring, with same technical and spectacular resources and an ideal track length,” says Drake Enzo Ferrari, Founder of the iconic racing team and automotive company and to whom the autodrome was named after (along with his son Dino) in 1988. Video monitoring system The Autodromo hosted Formula One Grand Prix from 1980 to 2006. After a long break, it resumed operation on November 1, 2020 for the debut of GP dell’Emilia-Romagna, which sanctioned the return of single-seaters on the Imolese asphalt track. We took the chance from the return of Formula One to deploy and enhance our control and security system" With this huge comeback, the management of Autodromo also decided to entrust the revamping of its video monitoring system to Dahua Technology Italy and DZ Engineering. “We took the chance from the return of Formula One to deploy and enhance our control and security system, particularly the video, which makes us one of the most technologically advanced autodromes worldwide,” says Pietro Benvenuti, General Manager of Autodromo Internazionale Enzo e Dino Ferrari di Imola. High definition technology The Autodromo Internazionale Enzo e Dino Ferrari di Imola is a landmark of Motor Valley region and an ideal place to host major sporting events in the world. Its request is to have control of the entire track with the ability to categorise and quickly retrieve the records of important events during each race. Dahua Technology needs to develop a system that monitors the whole track, empowering the client to handle everything that happens on the track at any time with high definition technology. This will put the Autodromo Internazionale Enzo e Dino Ferrari di Imola among the most technologically advanced autodromes in the Formula One World Championship. More importantly, it’s a huge step towards security not only for Formula One but for all the events that it hosts. Dahua Technology designed a specific project tailored for such events Real-time records To help the client achieve more value, Dahua Technology designed a specific project tailored for such events. The company utilises the experience it gained from its partnership with DZ Engineering in both national and international tracks. The company utilises the experience it gained from its partnership with DZ Engineering “In this regard, our proposal consists a 4K video system with fixed and motorised cameras all along the circuit, connected via Dahua switches [2x PFS5924-24X and 1x PFS4218-16ET-240] to an appropriately sized network infrastructure to avoid latency, while our customised DSS server [DSS4004-S2] manages real-time records and instant playback inside the control room,” explains Diego Schiraldi, Area Sales Manager of Emilia-Romagna region of Dahua Technology Italy. CCTV camera system Together with DZ Engineering, Dahua Technology successfully delivered the new CCTV camera system of Autodromo Enzo e Dino Ferrari di Imola. For this project, 26 fixed cameras [IPC-HFW7842H-Z] with 4K definition and 11 PTZ cameras [SD6AL445XA-HNR-IR] with 4MP resolution were installed to cover the entire circuit. “We have been cooperating with Dahua for years and we have completed several projects, the most significant in Singapore, Hanoi and Autodromo di Monza,” Fabrizio Fabbri, Project Manager of DZ Engineering, said. Once again, the Dahua video monitoring solution meets end user’s needs with high-quality products and services. Massimiliano Ghinassi, who is responsible for track services and the Director of motor racing events, described his experience in using the Dahua system: “The steps has been much farer than the past in terms of quality of images and selection of cameras: PTZs, domes and fixed ones.” Integrated security solutions This success proves once again the value and capability of Dahua Technology and its partners “The improvement is clear, especially when it comes to one-making racings with cars and motorbikes of the same type where race numbers might be difficult to distinguish. Zooming, resolutions and frame rates are considerably better and the interaction of different cameras guarantee maximum security in our facility. The resolution is excellent even during recording and we can export files in real time to examine them, throughout and after the races.” Hand in hand with DZ Engineering and ALLNET.ITALIA – the official distributor of Dahua Technology Italy, Dahua Technology is able to offer the client a customised system that excellently performed its task even during the weekend of Formula One Gran Prix of Made in Italy e dell’Emilia-Romagna 2021 (April 16-18, 2021). This success proves once again the value and capability of Dahua Technology and its partners in designing and providing integrated security solutions suitable for various application scenarios.
Traditional monitoring systems often face a myriad of challenges: excessive usage of white light just to capture colour images; ubiquitous background noise; complicated alarm accessories; and lack of integration with third-party alarm systems, just to name a few. In response to these issues, Dahua Technology, a world-leading video-centric smart IoT solution and service provider, has launched its upgraded Three-in-One Camera series – the TiOC 2.0. Aside from its Active Deterrence function, it is also equipped with Smart Dual Illuminators, VoiceCatcher technology, and other intelligent features that can help ease monitoring operation and customise alarm systems based on the actual needs. Smart dual illuminators The upgraded TiOC 2.0 features Smart Dual Illumination technology that can flexibly switch between IR mode and white light mode. The smart illumination mode adopts a deep learning algorithm to detect a target, when the Smart Illumination Mode (default mode) is enabled, the supplementary white light will only turn on when a target has been detected in the monitored area (PTZ camera tracks the target). The active alarm will be triggered as well (siren and blue & red light) if the target enters the rule area The active alarm will be triggered as well (siren and blue & red light) if the target enters the rule area. When the target leaves the monitored area, the supplementary white light will turn off (PTZ camera goes back to preset) and the IR illuminator will turn back on, which can significantly help reduce light pollution during nighttime. Together with other modes including IR Mode and White Light Mode, the smart dual illumination technology can meet various scene requirements of customers. Smart Dual Illuminators can help reduce light pollution during the night VoiceCatcher technology The Dahua VoiceCatcher technology adopts a high-sensitivity dual mic array – a newly designed audio acquisition circuit that can intercept external circuit interference. With Dahua’s self-developed noise reduction algorithm and high-performance SOC, this feature significantly increases the camera’s audio pick-up distance by 7 meters compared with the previous generation of TiOC (based on standard laboratory environment). In addition, the VoiceCatcher technology can also reduce noise and extract audible audio signals, which greatly enhance the TiOC 2.0 cameras in terms of sound quality. These dual-mic cameras provide clear sound, high wind noise reduction rate, and low environmental background noise, whereas a typical single mic produces a slightly distorted sound. Combined with a built-in speaker, a dual-mic array greatly enhances the device’s Two-way Talk function, providing clearer and more audible sounds. The Dahua VoiceCatcher technology adopts a high-sensitivity dual mic array Optical Path Compensation technology Dahua innovatively adopts an F1.0 super large aperture which greatly improves image quality Normally, the focus for visible light and IR light cannot be achieved in the same plane when the camera uses an F1.0 large aperture. Focusing on an area in the monitored scene using cameras with these specs is difficult. Powered by OPC (Optical Path Compensation) technology, the TiOC 2.0 cameras can correct the angle of refraction of different light rays, allowing Dahua IPCs to output brighter and clearer black & white images with an F1.0 large-aperture lens. It is the first Dahua network camera with such a feature. Moreover, Dahua innovatively adopts an F1.0 super large aperture which greatly improves image quality (IR cameras on the market mostly have an F1.6 aperture). The F1.0 aperture lens of TiOC 2.0 cameras increases the light input by 1.96 times and 2.56 times compared with F1.4 and F1.6 respectively. This technological breakthrough enables a smooth visual experience with high brightness and real-time 4K resolution at 25/30 fps even when AI is enabled. Powered by OPC (Optical Path Compensation) technology, the TiOC 2.0 cameras can correct the angle of refraction of different light rays Ecosystem Aside from the DMSS app, the TiOC 2.0 camera series also works with WEB/NVR software. It allows the configuration of alarm-in ports directly on the webpage interface, providing alarm receiving or one-tap arming/disarming function that can control both siren and warning lights with just a click of a button through the alarm system interface. It features 11 built-in alarm sounds and supports importing of custom voice audios that can be used as a welcome message in stores and as a deterrent in restricted areas. AI features This upgraded series also adopts an AI algorithm instead of conventional PIR sensors to improve its event detection accuracy. It boasts an array of AI functions, including SMD 3.0, perimeter protection, making it suitable for various application scenarios including public areas and private places. Auto Tracking 3.0 (PTZ) Combined with the PFA 3.0 algorithm, it realises touchless focusing during the tracking and capturing process Equipped with a deep learning algorithm, the upgraded TiOC 2.0 also offers Auto Tracking 3.0, unique technology of PTZ cameras. It utilizes the characteristics of the PTZ camera to rotate (horizontally and vertically) and zoom in/out to track targets. Once a target triggers the IVS rule, the camera zooms in and tracks the defined target in motion within the scene. Auto Tracking 3.0 provides a smooth tracking process. Combined with the PFA 3.0 algorithm (a deep fusion of intelligent algorithms and focusing algorithms), it realises touchless focusing during the tracking and capturing process. With the Auto Tracking 2.0 algorithm as its foundation, the requirements for the tracking size of the target are further reduced, making the target size smaller and the tracking distance longer. Auto Tracking 3.0 provides a smooth tracking process. Customise systems based on preferences Overall, the upgraded Dahua TiOC 2.0 offers innovative features that allow users to customise their monitoring systems based on their own preferences. Its Smart Dual Illuminators can help reduce light pollution during the night, while its VoiceCatcher technology can significantly decrease background noise. It is equipped with an F1.0 large aperture and optical path compensation technology – breakthrough technology in the industry – that can capture a brighter and clearer image even under low-light conditions. What’s more, it offers longer tracking distance and intelligent AI functions that can help ease surveillance operation. It also allows integration with traditional alarm systems. The release of this series shows Dahua Technology’s dedication to “Innovation, Quality, and Service” to serve its partners and customers around the world. Note: The online launch conference for Full-color 2.0 and TiOC 2.0 will be held on September 14, 2021 (17:00-18:00 Beijing Time). Click here to register.
With constant development in the modern society, continuous innovation is of paramount importance in order to address the diverse needs of customers. Dahua Technology, a video-centric smart IoT solution and service provider, recently released its upgraded full-colour 2.0 network cameras that offer brand new functions – including dual-lens, 4K colour image, vari-focal lens, and AI features – that can significantly optimise surveillance monitoring and greatly benefit end users in terms of clear and colourful image output. Reducing light pollution The upgraded full-colour 2.0 now offers dual-lens cameras with large F1.0 aperture that collects 2.5 times more light compared with F1.6 aperture. Its Dual Light Fusion capability allows the camera to collect visible colour details and lightness information using separate lenses. These cameras are equipped with dual CMOS (1/1.8” and 1/2.8), providing 36% increase in brightness and 14 times increase in S/N ratio. The upgraded full-colon 2.0 now offers dual-lens cameras with large F1.0 aperture With pixel-level frame-by-frame mapping, these dual-lens cameras present high image definition and vivid colours even when the supplementary white light is off, thus reducing light pollution and attraction of insects that can adversely affect the monitoring of the scene. What’s more, by utilising the high precision AA (Active Alignment) process, the lenses and sensors of these cameras are all precisely aligned, ensuring that the scene is captured and restored clearly and accurately. Low-light condition Details and colours are two essential elements in surveillance monitoring. They can be used to detect and recognise targets to prevent any possible incidents or events. The 4K network cameras of full-colour 2.0 are equipped with 1/1.2’’ image sensor. Compared with conventional 8MP camera, this image sensor significantly increases the pixel size by 110%, allowing it to capture real-time 4K colour images even in environments under low-light condition. In addition, these full-colour 2.0 cameras also boast 42% increase in brightness, and 400% increase in S/N Ratio, providing a clear and high-quality image of the monitored scene. The upgraded full-colour 2.0 network cameras adopt motorised vari-focal lens with approx. 5x optical zoom and auto focus function that can maintain clear details of the monitored scene even after zooming in. Narrow indoor spaces The upgraded full-colour 2.0 network cameras can work with Dahua 5-I/L series NVR It solves the difficulty in capturing vivid colour details of targets during night time or in environments with low illumination, which is a common pain point when using traditional IR vari-focal cameras. It covers narrow indoor spaces and wide outdoor scenarios and makes operation more convenient and greatly saves time and labour costs. Moreover, the upgraded full-colour 2.0 network cameras can work with Dahua 5-I/L series NVR, which enables the colour search of human and vehicle targets and allows extraction of relevant video footages. It includes the colour of the person’s clothes (top and bottom), as well as the colour of the car exterior. Additionally, another amazing AI feature of this camera series is its AI Schedule that allows users to set different AI functions according to the time schedule, providing more flexibility in monitoring and greatly reducing operation costs. Optimising conventional monitoring With its mission of ‘Enabling a safer society and smarter living’, Dahua Technology focuses on ‘Innovation, Quality and Service’ to serve its partners and customers around the world. By releasing the upgraded full-colour 2.0 Network Cameras, Dahua delivers another artillery of new technologies that can optimise conventional monitoring and meet the various needs of its customers. It is an ideal choice for those looking for clearer and more detailed images and videos even under low illumination and even after zooming-in. It is also equipped with AI features that can save time and reduce costs, making it suitable to a wide range of application scenarios such as villas, retail shops, and parking lots.
Hanwha Techwin a global supplier of IP and analog video surveillance solutions announced that We-Ko-Pa Casino Resort has selected Hanwha cameras for its new state-of-the-art video surveillance system. First established as a bingo-hall style building by the Fort McDowell Yavapai Nation in the early 1990s, the facility received approval to be revamped into a fully-fledged gaming facility in 2017. To ensure the safety of staff and visitors, this also included a new video surveillance system. Quality cameras When it came time to build the new facility, the Tribal Regulatory Agency, having learned from its earlier attempts, knew they had to find a vendor that wouldn’t let them down. Explains Lee Brown, Lead Surveillance Technician for the Fort McDowell Tribal Regulatory Agency, “We were looking for a manufacturer that had a variety of camera offerings to give us what we wanted and that also had a good reputation for quality.” They found what they were looking for with Hanwha Techwin. Camera coverage The cameras available from Hanwha Techwin enabled them to choose the right camera for every situation The number of cameras available from Hanwha Techwin was a key differentiator for the We-Ko-Pa Resort as it enabled them to choose the right camera for every situation. The range of options was especially important when it came time to design camera coverage for the slot floor in the new facility. This area proved to be challenging in part because it was designed to be flexible and modular. The new design allows the Casino to be dynamic in terms of where they place machines. The challenge then was how to ensure coverage of every machine even as they move around daily. Flexible 4k cameras They initially considered attaching cameras to the ‘cloud’ ceiling so that they could be moved as the configuration changed. But, because it floats below a concrete ceiling, this was not possible. The Casino decided instead to use the higher resolution P series 4K cameras and place them strategically throughout the space. Says Brown, “We had to give very careful consideration to where we placed our cameras. We wanted high quality and flexibility to avoid having to reconfigure and reinstall cameras all the time. The image quality with the Hanwha Techwin cameras gave us the edge we needed to work within our ceiling constraints.” WDR technology The new Casino has over 800 Hanwha Techwin cameras, including the XNV-8080R, PNV-9080R, and PNF-9010R models The new Casino has over 800 Hanwha Techwin cameras, including the XNV-8080R, PNV-9080R, and PNF-9010R models. According to Brown, their favorite feature is the quality they deliver at low bitrates. He says, “The majority of our cameras face intense and volatile lighting changes against a backdrop of complex scenery with many moving objects. Hanwha Techwin cameras and their advanced WDR (Wide Dynamic Range) technology can easily be configured to accommodate these conditions without sacrificing quality or producing obnoxious data streams.” Wisenet wave VMS While part of the interest in Hanwha Techwin was based on the build and image quality of the cameras and variety of the offerings, the Casino was also drawn to the Wisenet WAVE VMS (Video Management System). Says Brown, “We were attracted to the WAVE VMS because our virtualised server and client operating systems are 100% Linux based, and the WAVE client and server applications are well supported on Linux. It works exceptionally well with the Hanwha Techwin cameras and other devices, like HDMI encoders and third-party cameras.” Live central monitoring WAVE also helps operators with live monitoring. As part of their daily routines, operators at the Casino have to actively watch a variety of events and occurrences, including deliveries and vendors on site. Says Brown, “The layout system in WAVE makes it easy for us to organise our cameras into groups. So, when an operator follows someone through the Casino, rather than thinking in terms of which camera covers which machine or specific area, they think more in terms of the geography of the location.” Motion detection To reduce the storage requirements for video surveillance footage, they use motion-based high/low recording Every casino must comply with strict retention requirements in part because forensic examination and maintaining a clear chain of custody are extremely important. At the We-Ko-Pa Resort, they have a one-week minimum retention rate with some cameras keeping video for 30 days. Currently, We-Ko-Pa has 500 terabytes (TB) of redundant ZFS-based network storage. To reduce the storage requirements for video surveillance footage, they use motion-based high/low recording. Explains Brown, “We use motion detection to save on storage. If no motion is detected in a frame, the camera is set up to record at very low quality and low frame rate. If the camera detects motion, then the recording automatically shifts to high-quality mode.” Video surveillance system Moving forward, the Casino is excited about future possibilities for their system, including people counting and using their WAVE VMS to make data-driven decisions. The Casino and Tribal Regulatory Agency aren’t the only ones who recognise the outstanding features and functionality of their new Hanwha Techwin system. The Arizona Department of Gaming, which provides specific mandates for gaming operators in the state, is also impressed. According to Brown, “We have even received compliments for our video surveillance system from the state inspector who was quite impressed with the image quality and the smoothness of the recordings.”
St. Anne’s Parish vestry wanted to upgrade from its failing local NVDR and CCTV security system, comprised of 14 low-resolution cameras throughout the two buildings’ interior and exterior. The staff requested five additional camera views bringing the total to 19. The vestry wanted to deploy Verkada 4K ultra-high-definition IP cameras that store video in the camera, requiring a fast and reliable IP network. However, given the building’s age, St. Anne’s could not remove and replace its existing CAT3 network infrastructure due to high costs and complexity. Communications technology conference John Purnell, an IT industry consultant and Co-Chair of the St. Anne’s IT Committee, led the digital transformation effort for St. Anne’s. With several years of experience under his belt, Purnell was confident that an NVT Phybridge PoLRE switch would be the perfect solution for the project, including the church building in the circle and two buildings just down the street. Purnell discovered NVT Phybridge at a communications technology conference and had previously used the technology in several airport projects. NVT Phybridge was happy to help and quickly supplied a PoLRE24 switch to support the upgrade to IP Purnell reached out to NVT Phybridge, detailing St. Anne’s digital transformation objectives and barriers. NVT Phybridge was happy to help and quickly supplied a PoLRE24 switch to support the upgrade to IP. The PoLRE24 switch delivers Ethernet and PoE over any new or existing single-pair UTP (CAT3) infrastructure with up to 1,200ft (365m) reach, four times the reach of standard Ethernet switches. IP surveillance system NVT Phybridge also provided EC-Link Adapters after discovering coax cabling during implementation. Completely satisfied with the solution, St. Anne’s Church deployed a robust IP surveillance system to ensure safety inside and outside of the church and the parish house. “The IP cameras can store up to 30 days of video while performing analytics, which was not possible with our old NDVR,” said Purnell. “This allowed us to dramatically reduce network load and increase security, which was not possible with an NVDR or cloud-based solution.” The reseller team from BlueCapIT was trained on deploying the switch within one hour, and the deployment was finished just a few hours later. St. Anne’s Church saved a tremendous amount of time and money by avoiding the traditional rip-and-replace process, considering the historical value and community significance of the buildings. High-definition IP cameras It’s incredible that we can support 4K ultra-high-definition IP cameras using the existing category-3 cable" “The NVT Phybridge Power over Ethernet switches allowed us to meet strict Historic Preservation requirements and quickly deploy IP cameras without re-cabling,” said the Rev. Dr. Manoj Mathew Zacharia, Rector of St. Anne’s Parish. “It’s incredible that we can support 4K ultra-high-definition IP cameras using the existing category-3 cable. NVT Phybridge helped prevent seven difficult cable runs and the disruption that comes with pulling cable. I am thrilled to have avoided the rip-and-replace of existing cabling while not compromising on performance.” St. Anne’s Church, located in Annapolis, MD, was established in 1692 and served as the Chapel Royal for Maryland. Following the American Revolution, the church building was rebuilt in 1792, which served the community until it was destroyed in a fire on Valentine’s Day evening, 1858. Preserving historic building In less than two months, architectural drawings were presented for the third St. Anne’s Church. Construction was quickly completed, and the first service was held in July 1859. Francis Scott Key and several signers of the Declaration of Independence worshipped at St. Anne’s. St. Anne’s Church is one of the most important landmarks in the Maryland State Capital, situated in the centre of the main traffic circle. As an iconic symbol of Colonial Annapolis, preserving the historic building was very important to the City. In need of more space in the 19th and 20th centuries, the St. Anne’s established a Parish House for administration, programs, and a preschool about 100 yards down Duke of Gloucester Street.
Suprema, a global company in biometrics and access control solutions, announced that it supplied BioSign 4.0, its under-display fingerprint recognition algorithm to the Samsung Galaxy S21 smartphones with support from Qualcomm Technologies, Inc. BioSign, Suprema’s smartphone fingerprint recognition technology, has gained global recognition since its installation on Samsung Galaxy J5 models in 2017. Since then, Suprema has been supplying BioSign solutions to other Samsung smartphone models including Samsung Galaxy S10, Galaxy Note10, Galaxy 20, and Galaxy Note 20 series. Fingerprint recognition speed BioSign 4.0, installed in the Galaxy S21, has been receiving great reviews for its fingerprint recognition speed. BioSign 4.0 delivered enhanced speed and accuracy compared to its predecessor, BioSign 3.0, significantly upgrading user convenience with 50 percent faster and more than twice as accurate recognition performance. BioSign 4.0 employs deep-learning mechanisms to optimise fingerprint analysis to efficiently recognise rich fingerprint information obtained from the larger sensing area of the second-generation Qualcomm® 3D Sonic Sensor Gen 2 installed in the Galaxy S21 series. Qualcomm 3D Sonic Sensor Gen 2 Qualcomm Technologies unveiled the high-performance ultrasonic sensor, the Qualcomm 3D Sonic Sensor Gen 2 that was supplied to Samsung Galaxy S21 series, in January at CES 2021. With a 77%-larger fingerprint sensing area than the previous generation, the Qualcomm 3D Sonic Sensor Gen 2, was able to significantly improve fingerprint recognition performance. The ultrasonic sensor has ultra-thin form factors and is optically isolated from the display panel allowing for sleek smartphone designs. Performance and user convenience “Suprema's fingerprint recognition technology has been continuously selected for the Samsung Galaxy S series, proving to the world the technological superiority of our solution,” said Brian Song, the president of Suprema Inc. “With the excellent reviews BioSign 4.0 has been receiving for its overpowering performance and user convenience, we expect to be able to grow sales and market share. Suprema will continue to advance our fingerprint and face recognition technologies using AI and deep learning, leading the biometrics market into the future,” Song remarked.
Round table discussion
The new school year is a good time to reflect on the role of security in protecting our schools. From video to access control to some newer technologies, our Expert Panel Roundtable found plenty to talk about when we asked this week’s question: How does security technology make our schools safer?
One impact of Chinese companies entering the physical security market has been an erosion in product pricing, creating what has been called the "race to the bottom". However, political forces and cybersecurity concerns have presented new challenges for Chinese companies. Adding cybersecurity increases costs, and the addition of more functionality to edge devices is another trend that has impacted product pricing. We asked this week's Expert Panel Roundtable: Has price erosion ended (or slowed down) in the security market?
The year ahead holds endless promise for the physical security industry, and much of that future will be determined by which technologies the industry embraces. The menu of possibilities is long – from artificial intelligence to the Internet of Things to the cloud and much more – and each technology trend has the potential to transform the market in its own way. We tapped into the collective expertise of our Expert Panel Roundtable to answer this question: What technology trend will have the biggest impact on the security market in 2019?