License plate capture
From asphalt to apps, Bosch has implemented a connected security solution for the Frechen truck stop near the A1 to protect people and freight from assaults. The modern parking area near Cologne now has around 40 parking spaces that meet the high-security standards of the Transported Asset Protection Association’s (TAPA) according to the Level 2 certificate and are therefore particularly secured. From now on, forwarding companies can book these via the Bosch Secure Truck Parking app...
The idea of touchless systems has gained new levels of prominence during the last year, driven by the global COVID-19 pandemic. Contactless systems have been part of the industry’s toolbox for decades, while technologies like facial and iris recognition are finding new uses every day. We asked this week’s Expert Panel Roundtable: Which security markets are embracing touchless, contactless systems and why?
To meet rising consumer demands for parcel delivery, particularly for goods bought online, logistics companies need to manage their loading docks as effectively as possible. However, dock managers often lack the real-time information they need to make fast, accurate decisions. They may not be able to see, for example, which docks are available, which are in use, and which will soon be free. Without these vital insights, vehicles often wait unnecessarily, when they could be loading or unloading,...
CARRIDA Technologies, a globally renowned provider of ALPR software solutions, has appointed Pedro Bento as Chief Sales Officer (CSO) to lead the International Sales and Business Development. The company also launched a new website to showcase its state-ofthe-art ALPR software engine and solutions, as well as ALPR Edge Devices. CARRIDA ALPR engine Special to CARRIDA Technologies is the unmatched CARRIDA ALPR engine that can be flexibly deployed as OEM library, web-GUI solution for easy startup...
Maxxess has released a major update to its popular eVisitor visitor management solution with new mobile access integrations and touchless reader choices to support more flexible workplace operations post-pandemic. The new release includes options for mobile access control using smartphones, with authorised visitors and site users now able to pass through secure entrances using a choice of more convenient and hygienic contactless and touchless methods, including secure GDPR-compliant biometrics....
ONVIF, the renowned global standardisation initiative for IP-based physical security products and solutions company, has released Profile D, a new profile that addresses interfaces for access control peripheral devices, providing the market with an additional tool for building modern and secure IP-based integrated video and access control systems, using ONVIF. Profile D Profile D is designed to provide ONVIF interoperability for peripheral devices such as locks, credential/biometric readers, P...
3xLOGIC, Inc., a globally renowned provider of integrated, intelligent security solutions, will be attending ISC West 2021, taking place in Las Vegas, Nevada, from July 19-21, 2021. The company will be demonstrating its innovative security solutions, including its new Gunshot Detection Solution, which was named best new product in the Law Enforcement/Public Safety/Guarding Systems category of the 2021 SIA New Product Showcase. Self-contained gun detection device Rather than utilising microphones, infrared sensors, or complex analytics, the self-contained device relies on simple concussive force recognition sensors to detect gunshots. When a gun is fired, the bullet creates a shockwave as it exits the barrel of the gun and travels through the air. This shockwave creates a unique concussive force that the 3xLOGIC solution is able to detect. Because the solution can be integrated with video, access control, and intrusion systems, it can provide early alerting and insights into an event, allowing first responders to de-escalate an active shooter situation quickly. VIGIL CLOUD 3xLOGIC will also be demonstrating VIGIL CLOUD, which expands the company’s ecosystem into the Cloud with features designed to harness the power, scalability, and ease of use that are all hallmarks of cloud services. Building on 20-plus years of experience recording and managing video, VIGIL CLOUD provides end-users with the ability to view, manage, and share video from anywhere, at any time, on any device. VX-5M20-B-RIAL camera The VX-5M20-B-RIAL camera offers a remote zoom lens, 5 MP resolution, and a visible light lens filter The company will also be showcasing its licence plate capture camera, which is designed for scaled-down applications, in which post-event investigations require precise imaging, to identify licence plates. The VX-5M20-B-RIAL camera offers a remote zoom lens, 5 MP resolution, and a visible light lens filter that allows IR light band to pass. This allows the camera to effectively and accurately capture licence plates day or night for video review post-event. ISC West 2021 In addition to product offerings, 3xLOGIC will participate in an educational session – ‘Cloud Security Made Powerful, Simple, and Secure: The True Advantages of a Natively Developed Cloud Solution’ – as part of the SIA Education@ISC programme, at ISC West 2021. This session aims to provide insights into how developed-for-the-cloud solutions are uniquely equipped to address business owners’ new expectations, growing challenges, and ever-changing network and data security considerations. The session is scheduled to take place on Tuesday, July 20, at 1:15 p.m.
The introduction of 8 and 16 channel Wisenet X Series NVRs makes it cost-effective, for even small businesses to take advantage of the licence-free Deep Learning AI video analytics, built into Wisenet AI cameras. As is the case with the 32 and 64 Wisenet X NVRs introduced in 2020, by reading the AI metadata captured by Wisenet AI cameras, the new NVRs are able to help users to quickly and accurately search video for objects and the attributes associated to them. Deep Learning AI video analytics The Deep Learning AI video analytics simultaneously detects and classifies various object types The Deep Learning AI video analytics simultaneously detects and classifies various object types, including people, vehicles, faces and licence plates, and is supported by Wisenet AI algorithms. Unique to Hanwha Techwin, these identify the attributes of objects or people, such as age group, gender or colour of the clothing that a person is wearing. The attributes are saved as metadata on the NVRs, alongside the images captured by the cameras, enabling users to quickly search for specific objects or incidents. The algorithms are even able to recognise if a person is wearing glasses or holding a bag. Key features shared by the NVRs include the following: A brand-new user interface. New trapezium design extends life of HDDs by enhanced heating dissipation. Up to 32 MP recording with improved support for Wisenet 4K, 8K, thermal imaging, PTZ and multi-sensor models. WiseStream II complementary compression technology, which when combined with 265 compression, improves bandwidth efficiency by up to 75%, compared to current H.264 technology. Dual HDMI and VGA display outputs. Automatic Recovery Back-up. Event push notifications to smartphones. ONVIF Profile S conformant. Easy configuration The installation time of the new NVRs is minimised, by the ability of engineers to remotely connect to the NVRs. This is achieved via a smartphone or tablet, without having to set up a complex network, by using P2P and unique QR product codes. Configuration of the NVRs is also easily achieved with the help of an intuitive interface and installation wizard provided. GDPR and NDAA compliant The NVRs are also NDAA compliant, which has become an essential requirement Security personnel can apply bookmarks to prevent important video from being overwritten, with the NVRs programmed to automatically delete the bookmarked video, after a defined time period to ensure compliance with GDPR regulations. The NVRs are also NDAA compliant, which has become an essential requirement that consultants, system designers and system integrators need to take into consideration when submitting tenders for projects involving clients who operate multi-nationally. The 3 new Wisenet X NVRs are as follows: XRN-820S: 8 channels. Up to 100Mbps network camera recording with up to 12TB data storage via 2 SATA HDDs slots. PoE. XRN-1620SB1: 16 channels. Up to 140Mbps network camera recording with up to 24TB data storage via 4 SATA HDDs slots. PoE. XRN-1620B2: 16 channels. Up to 140Mbps network camera recording with up to 80TB data storage via 8 SATA HDDs slots. New Wisenet X Series NVRs “There are so many ways in which Deep Learning AI video analytics can enhance the value of a video surveillance solution and these new NVRs make the technology affordable even for applications which only require a small number of cameras,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe. Uri Guterman adds, “Together with Wisenet AI cameras, the NVRs offer a high degree of detection accuracy, while minimising false alarms. In addition to providing users with a powerful tool to identify and respond quickly to any suspicious activity, they also offer businesses, and particularly the retail sector, with the opportunity to capture and analyse business intelligence.”
Hanwha Techwin, a global supplier of IP and analogue video surveillance solutions, has expanded and updated its line-up of P series AI cameras with five new 2 MP HD models. A follow-up to the premium 4K P series AI cameras announced in 2020, the new cameras present a cost-effective entry point into the powerful world of AI-based camera technology. Hanwha P series AI cameras Hanwha P series AI cameras include licence-free video analytics based on deep learning that can detect various object types, such as people, vehicles, faces and licence plates, as well as identify unique object attributes, such as a person’s age group, gender and clothing colour, or a vehicle’s type and colour. The cameras offer enhanced people counting, queue management and heat-map functionality, with no requirement for overhead mounting, making sure faces are seen and footage is always useful for identifying persons of interest or delivering business intelligence. Digital auto-tracking provides a second video stream, which features close-up detail on objects being tracked. AI-based Preferred Shutter technology Wisenet AI cameras can significantly reduce the false alarms generated from irrelevant movement Wisenet AI cameras can significantly reduce the false alarms generated from irrelevant movement, such as moving trees, shadows and animals. Additionally, new enhancements to the line include WiseNR II noise reduction, which utilises AI (Artificial Intelligence) to identify object movement and reduce blur in noisy and low light or dark environments. AI-based Preferred Shutter technology automatically adjusts the shutter speed, based on classified objects in motion and the lighting condition in a scene, in order to reduce motion blur and deliver the clearest images. AI-based bandwidth reduction with WiseStream III As the size of video data continues to increase, it’s important to develop technologies to minimise network bandwidth. 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 at the same time, scaling back encoding on the rest of the scene. Adjustable by the end user, this technology can provide data reduction of up to 80% depending on the environment. Further data reduction is achieved with the BestShot feature, which ensures that only the most suitable image of a detected object is sent back to the server. VMS Metadata Compatibility AI object and attribute metadata (color, type, age, gender) is stored alongside the video image data for use during forensic search. VMS systems from Genetec and Milestone, as well as Wisenet WAVE and Wisenet X NVRs enable users to filter and search using this enhanced metadata. The new P series line of HD AI cameras include: PNO-A6081R - Network 2M AI IR Bullet Camera PND-A6081RV - Network 2M AI IR Dome Camera PND-A6081RF - Network 2M AI IR Dome Camera PNV-A6081R - Network 2M AI IR Vandal Dome Camera PNB-A6001 - Network 2M AI Box Camera Harnessing the power of Artificial Intelligence “These new P series AI cameras provide an affordable entry point into the powerful world of AI,” said Ray Cooke, Vice President, Products, Solutions and Integration, Hanwha Techwin America. Ray Cooke adds, “The impact of AI on both security and business intelligence is quickly transforming the way organisations think about and deploy these influential new sensors. There’s never been a better time to invest in this future-proof technology.”
3xLOGIC, Inc., a provider of integrated, intelligent security solutions, is hosting two dealer-focused events to provide customers with information about the company’s products and how they can grow their business by selling these solutions. The company is hosting a webinar on Tuesday, June 29, at 2 p.m. ET to focus on new features and enhancements to existing solutions, as well as three new offerings: Gunshot Detection, Licence Plate Capture, and Gen III Mounts. Force recognition sensor Rather than using microphones, infrared sensors, or complex analytics, the self-contained Gunshot Detection device relies on an affordably simple concussive force recognition sensor to detect gunshots. When a gun is fired, the bullet creates a shockwave as it exits the barrel of the gun and travels through the air. This shockwave creates a unique concussive force that the 3xLOGIC solution is able to detect This shockwave creates a unique concussive force that the 3xLOGIC solution is able to detect. With a detection radius of 75 feet and 360-degree coverage, offering 15,000 cubic feet of coverage per device, the solution minimises the number of sensors required for affordable coverage with no need for software, servers, or relay control board. Cloud-managed solution The company’s Licence Plate Capture camera with mount is designed for scaled-down applications where post-event investigations require precise imaging to identify licence plates. The VX-5M20-B-RIAL camera offers remote zoom lens, 5MP resolution, and a visible light lens filter that allows IR light band to pass. This allows the camera to effectively and accurately capture licence plates day or night for video review post-event. In addition to the webinar, 3xLOGIC is hosting a series of weekly Demo Days sessions designed to allow dealers to get up close and personal and ask technical questions of the 3xLOGIC product team about the company’s new cloud-managed solution, VIGIL CLOUD. Demo Days will take place on Thursdays at 1 p.m. ET.
Councils in England dealt with nearly one million instances of fly-tipping, in the year running up to the start of the COVID-19 pandemic, and the impact of the numerous lockdowns since then has worsened the problem still. Closed waste facilities and many houses deciding to have a ‘clear out’ has led to mountains of house-hold rubbish, electrical goods, construction waste and vehicle parts piling up on pavements, roads, highways and countryside. WasteWatch Cam But three leading businesses have combined their skill set and collaborated to create a bespoke solution - WasteWatch Cam, created by Business Insight 3 (Bi3), Kingdom Systems and Kingdom LA Support (Kingdom Services Group Ltd). WasteWatch Cam is a camera system that harnesses advanced technology, combined with real-time number plate recognition, in order to not only detect the fly-tipping offence, but also see to it that the individual is held accountable. Enterprise grade video analytics with ANPR The technologies are linked via a software application that has been created specifically for this purpose Experts in human, vehicle and object detection, Business Insight 3 (Bi3) created the state-of-the-art technology behind the camera solution, through seamlessly combining state-of-the-art, enterprise grade video analytics, which learns scenes and objects through patented algorithms, with automatic number plate recognition (ANPR). The technologies are linked via a software application that has been created specifically for this purpose. Kingdom Systems, which is part of the larger Kingdom Services Group, then set about physically building and designing the camera hardware that this technology could sit within. Real-time identification Once in place, the camera not only detects the car or person on-site, as well as the item they are discarding but also identifies the offender in real-time. This data is then raised as an instant alert, with all the supporting details, passed to the experienced team at Kingdom LA Support who take immediate action in the form of fines, warnings and where that is not followed through, prosecution. Due to this, WasteWatch Cam is a completely end-to-end solution, where every part of the process is managed with little to no input needed, from the local authority and its stretched resources. This makes it very beneficial financially too. Enhancing fly-tipper accountability Previously, authorities would need to spend time hunting through the rubbish to find any proof of addresses that could hold the fly-tipper accountable and then, spend money clearing the rubbish. WasteWatch Cam, on the other hand, is often completely free to councils, as long as a certain, reasonably low number of offences are detected. And, it seems councils are already buying into the idea, with two already on board and currently using the system - these being Barnet and Dartford. In fact, within just the first week of being installed, Dartford’s WasteWatch captured and reported seven fly-tipping offences, one of which is due to go to court in the next few months. Due to this success, the council has chosen to implement another system in the area. Countering rise in fly-tipping offences You need only read a newspaper to see the sheer number of fly-tipping incidents going on in your area" John Roberts, Head of Service at Kingdom LA Support (Kingdom Services Group Ltd.), said “You need only read a newspaper to see the sheer number of fly-tipping incidents going on in your area. The problem is getting worse and – not only is it an eye-sore, but it’s also damaging our environments, local habitats as well as taking valuable time and resources away from our local councils.” He adds, “I believe a huge part of it is down to what is often referred to as the ‘broken window theory’. This is when the action of one person makes another think - It’s okay to do the same. For example, if one person leaves a bag of waste near to a collection bin but not in it, then another person will just add to that pile.” 24/7 monitoring and end-to-end management solution John further said, “Not only does this make for a warm place for rodents to breed but if the bags get wet – which happens a lot in England – then companies are also not legally allowed to take them leading to an ever-increasing build-up of rubbish.” Richard Eaves, Head of Business Intelligence at Bi3, said “We created Waste Watch to be the best possible solution to the problem. With its 24/7 monitoring, real-time detection and completely end-to-end management – it moves beyond just acting as a deterrent, it tackles the vast problem of throwing waste from vehicles and fly-tipping at its core.” “It’s great to see local authorities already reaping the rewards of WasteWatch”, said Craig Walton, Head of Kingdom Systems, adding “We hope that it will provide a real step forward, for the benefit of our local councils, our communities and our much-loved green spaces.”
Hanwha Techwin has added 5 new 2-megapixel high-definition AI cameras to its Wisenet P series. The new cameras are designed to complement the 4K models which were launched in 2020, by making it more cost-effective for users to benefit from AI technology. As is the case with the existing 4K models, the new cameras are equipped with Deep Learning AI video analytics which delivers a high level of detection accuracy whilst minimising false alarms. It does so by simultaneously detecting and classifying various object types, including people, vehicles, faces and licence plates. AI video analytics The Deep Learning AI video analytics is supported by Wisenet AI algorithms which identify the attributes of objects or people, such as their age group and gender or the colour of their clothes. The attributes are saved as metadata alongside the images captured by the Wisenet P series AI cameras, enabling users to quickly search for specific objects or incidents. The algorithms are even able to recognise if a person is wearing glasses or is holding a bag. Operators are able to take advantage of VMS from software developers such as Genetec and Milestone Operators are able to take advantage of VMS from software developers such as Genetec and Milestone, as well as Wisenet WAVE and Wisenet SSM, to forensically search for specific objects or people by filtering the recorded metadata, as well as use the search capabilities of the latest generation of Wisenet X NVRs which are able to read AI metadata captured by the cameras. Social distancing analytics A recent firmware update, incorporated into the new 2-megapixel cameras and available as a downloadable upgrade for the existing 4K models, sees face mask detection and social distancing analytics added to the cameras’ capabilities. There is also enhanced people counting and queue management functionality. To help remove the risk of overcrowding and to assist, for example, store managers make the best use of human resources, this includes the ability to count the number of people queuing and generate alerts if a specified maximum number is exceeded. The cameras are also equipped with Hanwha Techwin’s Occupancy Monitoring application which generates alarm outputs that can be used to control automatic doors or a traffic beacon, as well as trigger the display of ‘wait’ or ‘enter’ messages when the maximum permitted a number of people allowed in an area at one time, has been reached. Video analytics applications With these various licence-free Deep Learning AI video analytics applications available as standard on the Wisenet P series AI cameras, users do not have to incur the cost of purchasing licences to be allowed to use them. Key features of the new 2-megapixel Wisenet P series AI cameras include: Digital auto-tracking which enables the cameras to transmit two streams of video, providing the option for operators to see a camera’s full field of view, whilst at the same time using a digital PTZ auto-tracking feature while viewing Full HD images, to track the movements of a person or vehicle. WiseNRII optimises image noise reduction to reduce blurring. 50ma output which can be used to power LEDs, sensors or glass break detectors. Minimising network bandwidth The cameras have a BestShot feature which selects the best images which have been captured The new cameras also benefit from next-generation WiseStream III complementary compression technology. This applies a low compression rate to objects and people which are detected and tracked by AI, whilst applying high compression to the remaining field of view. When combined with H.265, this results in an improvement in bandwidth efficiency by up to 80% compared to current H.264 technology. To further minimise network bandwidth and data storage requirements, as well as increase operator efficiency, the cameras have a BestShot feature which selects the best images which have been captured of a person or object and only sends these, together with the associated metadata, to a storage server. The new Wisenet P series AI cameras are as follows: PNB-A6001 box camera PNO-A6081R bullet camera with built-in IR illumination PND-6081RV dome camera with built-in IR illumination PND-6081RF flush mounted dome camera with built-in IR illumination PNV-A6081R vandal-resistant dome with built-in IR illumination Mission critical applications “We are confident that these new affordable cameras will help prove that AI based video surveillance technology is not just suitable for high-end, mission critical applications,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe. “In addition to helping combat criminal activity, we believe there are countless applications where the business intelligence captured with the assistance of the Deep Learning AI video analytics, as well as the cameras’ ability to help businesses operate safely during the COVID-19 affected era, will ensure they offer a high return on investment, regardless of where they may be deployed.”
Urban populations are expanding rapidly around the globe, with an expected growth of 1.56 billion by 2040. As the number of people living and working in cities continues to grow, the ability to keep everyone safe is an increasing challenge. However, technology companies are developing products and solutions with these futuristic cities in mind, as the reality is closer than you may think. Solutions that can help to watch over public places and share data insights with city workers and officials are increasingly enabling smart cities to improve the experience and safety of the people who reside there. Rising scope of 5G, AI, IoT and the Cloud The main foundations that underpin smart cities are 5G, Artificial Intelligence (AI), and the Internet of Things (IoT) and the Cloud. Each is equally important, and together, these technologies enable city officials to gather and analyse more detailed insights than ever before. For public safety in particular, having IoT and cloud systems in place will be one of the biggest factors to improving the quality of life for citizens. Smart cities have come a long way in the last few decades, but to truly make a smart city safe, real-time situational awareness and cross-agency collaboration are key areas which must be developed as a priority. Innovative surveillance cameras with integrated IoT Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns. From dangerous drivers to terrorist attacks, petty crime on the streets to high profile bank robberies, innovative surveillance cameras with integrated IoT and cloud technologies can go some way to helping respond quickly to, and in some cases even prevent, the most serious incidents. Many existing safety systems in cities rely on aging and in some places legacy technology, such as video surveillance cameras. Many of these also use on-premises systems rather than utilising the benefits of the cloud. Smart programming to deliver greater insights These issues, though not creating a major problem today, do make it more challenging for governments and councils to update their security. Changing every camera in a city is a huge undertaking, but in turn, doing so would enable all cameras to be connected to the cloud, and provide more detailed information which can be analysed by smart programming to deliver greater insights. The physical technologies that are currently present in most urban areas lack the intelligent connectivity, interoperability and integration interfaces that smart cities need. Adopting digital technologies isn’t a luxury, but a necessity. Smart surveillance systems It enables teams to gather data from multiple sources throughout the city in real-time, and be alerted to incidents as soon as they occur. Increased connectivity and collaboration ensures that all teams that need to be aware of a situation are informed instantly. For example, a smart surveillance system can identify when a road accident has occurred. It can not only alert the nearest ambulance to attend the scene, but also the local police force to dispatch officers. An advanced system that can implement road diversions could also close roads around the incident immediately and divert traffic to other routes, keeping everyone moving and avoiding a build-up of vehicles. This is just one example: without digital systems, analysing patterns of vehicle movements to address congestion issues could be compromised, as would the ability to build real-time crime maps and deploy data analytics which make predictive policing and more effective crowd management possible. Cloud-based technologies Cloud-based technologies provide the interoperability, scalability and automation Cloud-based technologies provide the interoperability, scalability and automation that is needed to overcome the limitations of traditional security systems. Using these, smart cities can develop a fully open systems architecture that delivers interoperation with both local and other remote open systems. The intelligence of cloud systems can not only continue to allow for greater insights as technology develops over time, but it can do so with minimal additional infrastructure investment. Smart surveillance in the real world Mexico City has a population of almost 9 million people, but if you include the whole metropolitan area, this number rises sharply to over 21 million in total, making it one of the largest cities on the planet. Seven years ago, the city first introduced its Safe City initiative, and ever since has been developing newer and smarter ways to keep its citizens safe. In particular, its cloud-based security initiative is making a huge impact. Over the past three years, Mexico City has installed 58,000 new video surveillance cameras throughout the city, in public spaces and on transport, all of which are connected to the City’s C5 (Command, Control, Computers, Communications and Citizen Contact) facility. Smart Cities operations The solution enables officers as well as the general public to upload videos via a mobile app to share information quickly, fixed, body-worn and vehicle cameras can also be integrated to provide exceptional insight into the city’s operations. The cloud-based platform can easily be upgraded to include the latest technology innovations such as licence plate reading, behavioural analysis software, video analytics and facial recognition software, which will all continue to bring down crime rates and boost response times to incidents. The right cloud approach Making the shift to cloud-based systems enables smart cities to eliminate dependence on fibre-optic connectivity and take advantage of a variety of Internet and wireless connectivity options that can significantly reduce application and communication infrastructure costs. Smart cities need to be effective in years to come, not just in the present day, or else officials have missed one of the key aspects of a truly smart city. System designers must build technology foundations now that can be easily adapted in the future to support new infrastructure as it becomes available. Open system architecture An open system architecture will also be vital for smart cities to enhance their operations For example, this could include opting for a true cloud application that can support cloud-managed local devices and automate their management. An open system architecture will also be vital for smart cities to enhance their operations and deliver additional value-add services to citizens as greater capabilities become possible in the years to come. The advances today in cloud and IoT technologies are rapid, and city officials and authorities have more options now to develop their smart cities than ever before and crucially, to use these innovations to improve public safety. New safety features Though implementing these cloud-based systems now requires investment, as new safety features are designed, there will be lower costs and challenges associated with introducing these because the basic infrastructure will already exist. Whether that’s gunshot detection or enabling the sharing of video infrastructure and data across multiple agencies in real time, smart video surveillance on cloud-based systems can bring a wealth of the new opportunities.
Video surveillance is commonly associated with security. But in most cases, it's used to record incidents and assist in investigations after the fact rather than prevent undesirable events. Artificial intelligence–powered video analytics is a highly promising trend that fundamentally changes the way things work. Extracting manageable data from a video stream can help recognise risky situations early on, minimising damage and, ideally, completely avoid emergencies. At the same time, AI significantly expands the areas of application of video surveillance beyond security systems. AI significantly expands the areas of application of video surveillance beyond security systems However, the hype around this new, trendy technology prevents the potential user from choosing quality solutions in a wide variety of products. This often leads to over-expectation, followed by a complete let-down. Can AI-powered video analytics really be the key to a technological breakthrough in video surveillance? We'll take a look at what the technology can do, what it can't, and where it can go from here. Technological breakthrough or just another bubble? It's often said that the video management software (VMS) market is becoming increasingly commoditised and widely available. A lot of products with similar features (or, at least, similar promises from the manufacturer) make it hard to choose. As a result, vendor names and reputations are turning into one of their primary selling points. Manufacturers have two choices available: get wrapped up in a price war and rely on cutting expenses, or offer a product that's truly innovative and revolutionary. Manufacturers have two choices available: get wrapped up in a price war, or offer a product that's truly innovative and revolutionary VMS developers who choose the second route are gravitating towards creating products that use artificial intelligence based on neural networks and deep learning. Emerging two or three years ago, the AI video analytics market is experiencing a boom in growth. This new tech wave has stirred the still, stagnant backwaters of the VMS world and gave small, ambitious developers something to be optimistic about. It seems they now have a chance to emerge as market leaders in the next few years. However, the hype around this popular trend is raising reasonable concerns among experienced security industry professionals. These concerns come from clients looking for a solution to their problems, and from suppliers building a long-term development strategy. This largely resembles another tech bubble, like the one built up around pre-AI video analytics and burst when it became clear that the promises around it were pure marketing hype. However, there are factors that indicate that AI-powered video surveillance systems aren't another bubble. The three factors The first — and the main one — comes from systems already in place on customers' sites. They fulfill the same promises made during the previous bubble by hotheads in a rush to teach the computer to analyse events in real time using a classical algorithmic approach. The second is the fact that this new technology has seen investment from not only software and cloud startups, but also established VMS developers. Even giants like Intel, which has presented a full line of neural network accelerator hardware and a set of software tools that streamlines working with them, specifically in the field of computer vision. This new technology has seen investment from not only software and cloud startups, but also established VMS developers The third factor lies in artificial intelligence's abilities. AI plays chess, drives cars, and works wonders in many other fields. Why shouldn't it be applied to video monitoring and analysis? What AI can do Just what can artificial intelligence do in video surveillance systems at this stage of development? It can't quite analyse a sequence of events and understand the "logic" of what's happening in the cameras' field of view. At least not yet. But it's probable that AI will learn to do this in the next few years. But neural network analytics can already detect, classify, and track objects very well, providing high accuracy even in busy scenes. Artificial intelligence can be used in the real world to: Detect smoke and flames for early fire warning at open areas (forest, open warehouse, parking lot, etc.) Distinguish people/vehicles from animals and other moving objects, e.g. to protect the perimeter of a nature park from poachers Distinguish a person in a helmet and protective clothing from a person without them to prevent accidents at a dangerous production facility or construction site Count objects of a specific type, e.g. cars in a parking lot, people in the sales floor, wares moving on a conveyor belt, etc. in non-security-related solutions Those are just a few examples. After training a neural network, it can tackle other, similar tasks, too. Generally, a neural network trained in specific conditions isn't replicable. In other words, it won't work as well under different conditions. On the other hand, developers have learned how to quickly train AI for the needs of a specific project. The most important requirement is having enough video footage. Somewhat apart from that is the use of neural networks in facial and automatic number-plate recognition. This is an example of reproducible neural networks (train once, deploy everywhere), which makes them more appealing commercially. If non-reproducible neural networks have only recently become economically feasible due to the rapid evolution of specialised hardware (aforementioned Intel's product, for example), then the use of AI in facial recognition and ANPR has been well established for a long time. The use of AI in facial recognition and ANPR has been well established for a long time Another kind of AI analytics that we'll explore is behaviour analytics. This function, probably more than any other, is bringing video surveillance systems closer to understanding what's happening on camera. Its potential is vast. How behaviour analytics works From a technical point of view, behaviour analytics combines artificial intelligence with a classic algorithmic approach. A neural network trained on a multitude of scenarios can determine the position of the bodies, heads, and limbs of humans in the camera's field of view. The algorithm outputs an array of data containing descriptions of their poses. Conditions can be set for data to detect a specific pose, such as raised hands, prostrated or crouching persons. Developers can use this to quickly create new detection tools to identify potentially dangerous behavior specified by a government or business client. There's no need for additional training of the neural network. How behaviour analytics can be deployed Someone crouched down next to an ATM could be a technician, CIT guard, or burglar. Bank security should be notified in any of the cases. A person in shooter position, together with a bank employee or cashier with their hands raised could indicate a robbery. The system can be configured to automatically send alerts with a surveillance snapshot to the police so they can assess the threat and take action if needed. It's vital that the police receive the alert, even if the employee is unable to activate the alarm. In many cases, attention should be directed to a prostrate individual. This could be somebody who needs immediate help, or it could be someone sleeping in an inappropriate public place, for example, a 24/7 ATM space. Behavioural analytics can also be used to ensure workplace safety. For example, tracking whether employees are holding the handrails when using the stairs at a manufacturing facility or a construction site. What now? Behaviour analytics can be deployed wherever your clients' imagination takes them. With this feature, practically any pose that indicates potentially dangerous behaviour can be detected. Timely response to an alarm helps avoid material damages or, in other situations, casualties. Practically any pose that indicates potentially dangerous behaviour can be detected An area of potential development for behaviour analytics is the ability to analyse a sequence of poses by the same person or a combination of poses and relative positions of several individuals. That will be the next level of evolution in AI's use in video surveillance: moving from "detecting" to "understanding" behaviour in real time. In its most basic form, this type of analytics can be deployed to detect deviations from the search procedure in correctional facilities when a person being inspected must assume a pre-defined sequence of poses. A more advanced form allows it to detect any kind of abnormal behaviour, such as a brawl breaking out in a public space. Ideally, behaviour analytics can predict dangerous situations based on nearly imperceptible cues gleaned from collected statistics and a Big Data analysis. At the moment, this sounds like pure fantasy, but what seemed like whimsy not too long ago is now a reality with AI. It's already beaten humans in chess and the game of Go (Weiqi). Will artificial intelligence be able to outplay humans at charades one day? It's entirely possible that we'll soon see for ourselves.
Through new technology, applications and analytics, video surveillance systems are helping to make hospitals a safer place Healthcare organisations face many challenges. Federal mandates associated with the Affordable Care Act (ACA), changing reimbursement models, an ageing population and competition are among the most concerning issues. Unfortunately, so are safety and security. However, video surveillance is helping. Through new technology, applications and analytics, video surveillance systems – and the data storage required to support them – are helping to make hospitals a safer place and providing a positive impact on the quality of care. Security and surveillance trends Security professionals in healthcare settings face many threats. Gang incidents, trespassing, patient outbursts and terrorism are all concerns they must protect against, not to mention drug related crimes and the risk of infant and child abduction. Incidents of violence are real possibilities, which places workplace violence and disorderly conduct at the top of the list of safety concerns. “Violence is a real challenge for us,” said Mickey Watson, Director of Public Safety for the Sarasota County Hospital District in Sarasota, Florida. “We worry about active shooters and people pulling out knives and stabbing people. We have to worry about people driving cars into the crowd in front of our hospital. We see a rising level of violence among the patients in the emergency rooms. Even on the medical floors, we are seeing violent interactions with families, visitors, and other people on our campus.” According to Mickey, “Violence in the hospital and workplace violence have to be priorities for us, and we are always looking for ways to reduce the amount of violence.” Surveillance systems outside hospitals Observation and awareness are important. Security professionals rely on their surveillance system to help them monitor nearby streets, pavements, parking facilities, hallways, entrances, ambulance bays, and waiting areas for suspicious or threatening activity. This is helping to prevent incidents as well as identify vehicles in “dump-and-run” cases. “Violence in the hospital and the workplace have to be priorities – we are always looking for ways to reduce the amount of violence” “Dump-and-run cases—where a car pulls up to the hospital, dumps a patient out at the entrance, and pulls away—happen frequently,” said Mickey. “It’s usually someone who has been shot or stabbed. The first question our law enforcement partners want to know is if we have any video of the car. So we added a license plate recognition camera to take care of that.” Better monitoring helps protect hospital settings. However, healthcare campuses are sprawling and becoming more decentralised. More and more services are being delivered outside the hospital itself, but those environments must still be protected. This is another area where video surveillance is helping. “It used to be that everything happened at the hospital,” said Mickey. “Now we are seeing patient care move more out into the community and across the system. So we use camera technology at the locations where we can’t keep staff all the time. We use virtual patrols and video patrols. We use that to monitor trespassing and those kinds of situations.” Constant observation camera programme The population is ageing, resulting in a growing need for medical services. Thanks to longer life expectancy and the size of the Baby Boomer generation, the number of people aged 65 years or older is expected to reach 72 million within the next 25 years, according to the Centers for Disease Control and Prevention (CDC). In addition, the CDC expects that nearly 20% of the U.S. population will be made up of older people by 2030, putting a lot of pressure on healthcare facilities. Older patients require more care and are at a higher risk of injury when on-site at a hospital or outpatient facility. Using a camera system eliminates the need to increase staff while ensuring patients are never out of the sight of a caregiver According to Paul Baratta, Healthcare Business Development Manager at Axis Communications, “People are coming into the [healthcare] system at an older age. Falling and other medical emergencies are starting to become more prevalent. As a technology partner, we are trying to help healthcare organisations with fall prevention and not just fall detection.” This is one area where video surveillance is helping improve the quality of care. Sarasota Memorial Hospital, the anchor facility in Mickey Watson’s district in Sarasota, Florida, uses a constant observation system to serve high-risk patients. According to Mickey, “We struggle with patients who are a fall risk. So we have implemented a constant observation camera programme where we actually have clinical professionals in a second control centre observing high-risk patients. We have 200 rooms that have the ability to provide constant observation.” Clinical uses for video platforms Using a camera system eliminates the need to increase staff while ensuring patients are never out of the sight of a caregiver. According to Mickey, constant observation cameras are such a benefit that they plan to include them in all future building specifications. “New rooms will be equipped with constant observation cameras,” said Mickey. “And we are expanding our control center and expect it to double in size this year.” “We implemented a constant observation camera programme where clinical professionals can observe high-risk patients” Healthcare organisations are seeing more and more clinical uses for video platforms. One is the constant observation system mentioned above. Another is the growing trend toward telemedicine, where patients are able to receive care remotely. A third use is the role of video in training clinical staff. According to Mickey, “In my estimation, within the next 3-4 years the number of clinical-based camera platforms will actually exceed the number of security-based cameras that we have across the organisation” and according to Paul, “We [at Axis] really feel [the healthcare industry] is going to see more and more cameras and video and storage needed for clinical applications and training. The traditional security camera systems are going to morph into a larger system of patient quality and care and away from just security.” Storage platform for healthcare organisations Storage capacity in healthcare is growing at 30.1% compound annual growth rate (CAGR), according to a report from IHS. At Quantum, we see customers contending with growth driven by the adoption rate of high-definition (HD) cameras, the expanded use of camera systems to improve security, the growth in clinical-based camera applications and longer retention times due to litigation protection and analytics. Meeting the video requirements of today’s healthcare organisations requires a multi-tiered storage platform capable of growing incrementally and integrating into a heterogeneous infrastructure while remaining cost-effective enough to deliver the total capacity needed within the constraints of already tight budgets.
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.”
Artificial intelligence (AI) is expanding the capabilities of license plate readers and vehicle identification systems. Within a smart/safe city scenario, automatic license plate reader solutions are used to help analyse real-time video streams for site surveillance, inspection and public safety, and to offer actional information through a network of connected camera systems. Outside of law enforcement, this can include other public safety initiatives such as traffic tolls, car counting, and parking security. Vehicle recognition systems Rekor Systems is a provider of vehicle recognition systems in more than 60 countries Using AI to enable video cameras, Rekor Systems is a provider of vehicle recognition systems in more than 60 countries. Applications include security and surveillance, public safety, electronic toll collection, brand loyalty, parking operations, banking and insurance, logistics, and traffic management. AI allows Rekor’s products to recognise and read license plates, while also providing information about each vehicle, including colour, make, year, and model. Rekor’s products are powered by OpenALPR software, an AI-based solution that enables any IP (internet protocol) surveillance camera to scan license plates and provide vehicle data including tag number, make, model, and colour in real time with 99% accuracy, according to the company. Rekor’s products are powered by OpenALPR software Integrated solutions “Rekor's software started as an open source project, and we have done our best to keep the commercial software as open as possible,” says Rod Hillman, Chief Operating Officer, Rekor Systems. “One of the challenges we see with others in our space is a tendency to ‘close off’ and ‘silo’ their solutions. Our goal is to make it as simple as possible to deploy, integrate, and ultimately use.” Rekor has numerous application programming interfaces (APIs) and ways the solution can be integrated into partners' solutions with a software development kit (SDK). Rekor solutions can be purchased directly or through a worldwide partner network of integrators, wholesalers, and within integrated solutions such as Nokia's smart city platform. Electronic toll collection Rekor’s solutions have viable applications within multiple markets While many systems are hardware-based, Rekor’s software-as-a-solution offering can turn an IP camera into an automatic license plate reader. Rekor’s solutions have viable applications within multiple markets, including law enforcement, security and surveillance, electronic toll collection, parking operations, banking and insurance, logistics, traffic management, and customer experience. “Rekor offers a cost-effective alternative to traditional LPR systems with a much higher accuracy rate at 99% allowing more cameras to be present and active at any given time,” says Hillman. “Traditional LPRs need someone to go through hours of footage to find what they are looking for while Rekor’s technology will send alerts in real time, resulting in much quicker response times.” Move Over Camera mounts onto roadside worker’s vehicles to capture ‘Move Over’ violations Two-part authentication Rekor’s products include: NUMERUS, a cloud-based solution for high-volume vehicle recognition, designed to reduce costs and increase efficiencies for the electronic toll collecting industry. Two-part authentication instantly identifies the vehicle’s make, model, colour and body type along with the license plate read. Machine-learning-enabled software recognises license plates from all 50 U.S. states, in addition to plates from more than 70 countries on six continents. Edge, an all-in-one camera and vehicle recognition system that instantly reads vehicle license plates, along with the vehicle’s make, model, colour and body type. Move Over Camera, which mounts onto roadside worker’s vehicles (police, tow truck, etc.) to capture ‘Move Over’ violations. ‘Move Over’ laws state that vehicles must move over one lane and/or slow down if they cannot move over to avoid incident while roadside workers are in the shoulder lane. The camera can detect what lane vehicles are in and how fast they are moving. Violators are flagged in the system for law enforcement’s review.
Knightscope’s long-term mission is to “make America the safest country in the world,” says William Santana Li, Chairman and CEO. “The company was started six years ago as we had grown tired and horrified by the ongoing violence in our country and decided to do something about it.” But are security robots the solution to crime and violence in the United States? “There are 2+ million law enforcement and security professionals trying to secure 328+ million people across the 50 states,” Mr. Li says. “The math just doesn’t work, which is why our country pays $1+ trillion in negative economic impact annually – a hidden tax we all pay in blood, tears and treasure.” Robots provide professionals with new tools. “We make really smart eyes and ears that operate 24/7/365 for an affordable price,” says Mr. Li. “We have actually operated more than 700,000 hours in the real world, both outdoors and indoors, across 15 states and are now operating across five time zones – fully autonomous without any human intervention.” Utilising robotics and AI AI helps Knightscope robots interact better with humans and perform activities like identifying peopleKnightscope is a security technology company that utilises self-driving technology, robotics and artificial intelligence to provide security professionals additional eyes and ears to do their jobs much more effectively – as well as provide a consistent around-the-clock physical deterrence to help minimise negative behaviour. Knightscope says its K1, K3 and K5 security robots, and accompanying user interface, the Knightscope Security Operations Center (KSOC), continue to make significant contributions to the safety of its client base. Artificial intelligence helps Knightscope robots interact better with humans and perform activities like identifying people, looking up license plates, detecting rogue wireless devices, having a machine-to-human dialogue and, in the future, detecting dangerous objects in a scene automatically. “Our long-term plan is to have the machines be able to see, feel, hear and smell, so advances in sensor capabilities, efforts in sensor fusion, and the future with 5G capabilities will make for profound advances,” says Mr. Li. Facial recognition software at ISC West 2019 was Knightscope’s fourth time exhibiting at ISC West, and they have also exhibited at GSX/ASIS, ISC East, numerous other trade shows, and have hosted some of their own. Mr. Li has seen the reaction to security robots evolve over the years. People are realising that the technology is not science fiction but science fact and looking to see how it can be an integral part of their respective security programs “At first, it was typically ‘what is that?’ or ‘what does it do?’ But the last 12 to 18 months have been very different. There has been much more meaningful, implementation-focussed dialogue, feedback, requests for new features, etc. Now folks are realising that our technology is not science fiction but science fact and looking to see how it can be an integral part of their respective security programs.” Their ISC West presence this year highlighted facial recognition software that utilises deep learning to detect, analyse and compare faces. Pechanga Resort Casino in Temecula, Calif., an existing Knightscope customer, is using the beta format on its K1 security robot platform. Additional benefits of using robots Knightscope has raised over $40 million to develop and deploy its technology and is backed by more than 6,000 family offices, accelerators, funds, private investors and four major corporations, says Mr. Li. As the machines get smarter and more capable over time – the number of applications will become endless" Robots also provide additional benefits beyond security, says Mr. Li, such as branding, community relations and public relations opportunities for clients. “In some cases, our clients have utilised our Concierge feature to allow for human-to-machine customer service interactions,” he says. “We have also been able to showcase and inspire STEM (science, technology, engineering and math) students with practical applications of technology for the good of society. And robot selfies have certainly become a thing.” Endless number of applications In terms of vertical markets, in the near term, Knightscope has seen positive scaling and growth on corporate campuses and at logistics facilities, manufacturing plants, hospitals, casinos, commercial real estate and malls. “As the machines get smarter and more capable over time – the number of applications will become endless,” says Mr. Li. They currently drop new software code every two weeks and new hardware typically a couple of times a year. “In my opinion, it is ill advised for early stage technology companies to utilise B2G (business-to-government) sales as the initial go-to-market strategy,” says Mr. Li. “For Knightscope we have been primarily focussed on B2B (business-to-business) sales and actually until 2017 were geographically constrained to California only. What we are doing is technologically extremely difficult as these are effectively self-driving cars. Additionally, despite the never-ending international interest, we are laser focussed on the United States.”
Johan Cruijff ArenA will utilise innovative video analytics to improve visitor flow, optimise parking utilisation and offer fans an anonymous way to provide feedback about the stadium experience, among other uses. The Security & Safety Things IoT platform for smart cameras will integrate into the ArenA’s operational software to provide key insights into stadium operations and ongoing health and safety measures, especially useful since the pandemic. The partnership will provide a potential model for other organisations looking to deploy technology solutions to safely reopen. IoT platform for smart cameras Security and Safety Things GmbH and the Johan Cruijff ArenA are partnering up and will deploy S&STs IoT platform for smart surveillance cameras to enhance overall fan experience, optimise ArenA operations and increase visitor security and privacy. The ArenA is home to AFC Ajax and the internationally renowned Amsterdam Innovation ArenA (AIA), a living lab established by the ArenA and the City of Amsterdam to enable development and testing of innovative stadium and smart city solutions. Security & Safety Things IoT platform S&ST IoT platform and network of cameras is integrated into the ArenA’s dashboard software The Security & Safety Things (S&ST) IoT platform and network of cameras is integrated into the ArenA’s dashboard software to provide information and analysis for safety and security as well optimisation of stadium operations and visitor engagement. “Every technology selected for our innovation environment is strategic because of the potential benefits not only to our ArenA, but to the City of Amsterdam and other stadiums and large event venues seeking technological solutions to help to re-open safely and operate their facility more intelligently,” said Sander van Stiphout, Director International, Johan Cruijff ArenA. Sander van Stiphout adds, “The unique flexibility of the Security & Safety Things approach enables us to simultaneously deploy COVID-19 health and safety analytics along with business optimisation tools and easily re-equip the cameras with other analytic applications as our needs change.” AI-enabled video analytic applications A series of smart cameras on the S&ST IoT platform are installed in key areas throughout the stadium. Using specialised, Artificial Intelligence-enabled video analytic applications from the S&ST Application Store that run directly on each camera, each device will provide the ArenA with valuable operational insights. When the stadium reopens, crowd detection analytics will monitor social distancing compliance and visitor flow around entrances and food or merchandise kiosks. License plate recognition cameras will assist with real-time occupancy monitoring for parking and traffic flow optimisation. Queue detection applications Queue detection applications can be employed to reduce visitor wait times by directing fans to less busy areas and by providing the insights required to optimise staffing levels at peak times. In one specific area, a camera also provides the ability for visitors to provide feedback about their stadium experience in an anonymous and contact-free way by detecting the visual of a ‘thumbs-up’ or ‘thumbs-down’ from a visitor, collecting only the rating without disrupting people flow. Smart camera platform We’re honoured to be joining the Johan Cruijff ArenA as an innovation partner" “The flexibility of our smart camera platform and the ArenA’s mission of innovation are very well matched to produce the intelligence necessary to address real world issues of privacy, health and safety but also new and creative ideas for stadium and event management,” said Hartmut Schaper, Chief Executive Officer (CEO), Security & Safety Things GmbH. Hartmut adds, “We’re honoured to be joining the Johan Cruijff ArenA as an innovation partner and to help them provide a seamless and safe visitor experience.” Smart surveillance camera system The camera system and how it is used complies with all European and Dutch privacy regulations. Furthermore, there are various advantages to this camera system, when it comes to privacy. These cameras are equipped with powerful processors that analyse the images directly on the camera, reducing the need for a constant video stream to be passed on to a central location, where it can be monitored or further processed. Instead, the cameras can be configured to send only the information about relevant events such as when a long queue is forming, groups of people gather too closely, or individuals are not wearing face coverings as required. Only then will respective images be passed along. This reduces the processing of visitors’ personal information to an absolute minimum as opposed to a traditional set-up where all footage is transmitted and centrally processed at all times.
The city of Arnhem has chosen Nedap to regulate vehicle flows and to provide a seamless vehicle access experience in its city centre. Due to the increase in the number of vehicles in the city centre, it was a challenge for Arnhem to ensure that the traffic flow runs smoothly and safely, to keep the historic and tourist centre accessible and livable. Vehicle identification solutions With the implementation of Nedap’s vehicle identification solutions, authorised vehicles and drivers can access the city in a safe and seamless way. The combination with Nedap’s MOOV City Access software ensures that vehicle access in the city centre easily can be regulated. The city of Arnhem wants to regulate vehicle access to the centre and ensure only authorised vehicles can enter The city of Arnhem is located in the east of the Netherlands. Because of the historical centre, cultural sights and a wide range of entertainment facilities, it is also an attractive city for tourists. To ensure that the city centre remains traffic and pedestrian friendly, the city of Arnhem wants to regulate vehicle access to the centre and ensure only authorised vehicles can enter. MOOV City Access platform By limiting traffic flows, the narrow streets in the historic centre of Arnhem turned into an attractive and safe public place for pedestrians and cyclists, creating a livable city. The city of Arnhem has chosen Nedap for its MOOV City Access platform combined with its advanced solutions for automatic vehicle identification, based on long-range RFID (Radiofrequency Identification) and ANPR (Automatic Number Plate Recognition) technology. Authorised vehicle access in specific zones The solution is supplied and installed by Nedap’s partner - ST&D. Nedap’s MOOV City Access platform is implemented to control vehicle access in specific zones. With this, Arnhem ensures that only authorised vehicles can enter these zones and only if they have permission to do so. With the implementation of RFID readers and ANPR cameras, vehicles can be identified from a long distance, ensuring automated and safe vehicle throughput. Nedap’s long-range RFID solution, TRANSIT will be used to ensure that local residents, emergency vehicles, licenced taxis and municipal services have easy access to the city centre, without compromising on safety. TRANSIT long-range RFID solution Authorised vehicles equipped with a RFID tag will have fast access at vehicle entrances TRANSIT is a proven technology that enables highly secure identification and tracking of vehicles and drivers, up to a distance of 10 metres. Authorised vehicles equipped with a RFID tag will have fast access at vehicle entrances, without the need to stop. The all-in-one licence plate camera, ANPR Lumo will grant access to vehicles based on their license plate number. Licence plate recognition is a perfect solution for specific user groups or situations, in which vehicles require access temporarily or incidentally to the city centre. For example, retail delivery trucks can be given access at pre-defined locations, assigned days and time zones, regulating vehicle access to the city by reason. Digitisation of city access “By choosing and implementing Nedap’s MOOV City Access platform in combination with Nedap’s licence plate recognition solution, we have taken a major step in the further digitisation of our city access in Arnhem,” said Hans ten Barge, Chain Director Parking at the Municipality of Arnhem. Nedap Identification Systems is a specialist in Automatic Vehicle Identification and Vehicle Access Control solutions, for over the past decades. Nedap has developed a unique portfolio of proven long-range RFID and ANPR solutions that enable seamless third-party system integration. Vehicles and drivers are identified automatically, securing a free-flow yet highly secure vehicle access experience. MOOV City Access is Nedap’s vehicle access control solution, specifically designed for regulating vehicle flows in inner cities. MOOV’s hardware and software are compatible with Nedap’s RFID readers and ANPR cameras. This complete solution ensures a livable and safe city.
Since the beginning of the Corona pandemic, MOBOTIX thermal cameras have been increasingly used in the healthcare sector, as well as airports, train stations, public authorities, and companies, to detect temperature anomalies in people without contact and thus contain the spread of the virus. However, this aspect is only one area for which MOBOTIX technology is currently providing special services. The MOBOTIX 7 Platform, with its intelligent and cyber secure camera systems M73 and S74, predestined MOBOTIX video technology even before the pandemic to ensure comprehensive, digital support in healthcare clinics and the care of the elderly and disabled. The reliable, high-quality video systems made in Germany reduce hospital and nursing staff's workload, provide digital care for patients and residents, and optimise care and workflow processes. Parking lot management Basic safety and pandemic protection in healthcare Also, during the pandemic, a special duty of care applies to employees, patients, and residents as a risk or high-risk group. MOBOTIX video technology is used in numerous clinics, retirement, and care facilities worldwide to ensure that patients, residents, and employees have a carefree stay and can work safely. Dangers and sources of risk are detected, and the intelligent systems warn, report, or directly initiate assistance and rescue measures. With the MOBOTIX 7 platform and the versatile apps, MOBOTIX offers exceptional application possibilities This allows staff to concentrate on their work, while hospital patients and nursing home residents can recover more quickly and get the rest they need. MOBOTIX video technology is also used for early fire detection and access control, mainly to protect sensitive areas such as sterile rooms, operating theatres, or medication depots. MOBOTIX also offers the right solutions for intrusion and theft protection, securing outdoor spaces, or access monitoring and parking lot management. With the MOBOTIX 7 platform and the versatile apps, MOBOTIX offers exceptional application possibilities: Temperature-sensitive people are detected as soon as they enter the facility and can be immediately sent for further examination. Crowding is avoided, and social distancing can be supported. MOBOTIX video systems detect when no mask is being worn and trigger an alarm or an information announcement. Cyber security and data protection Cyber security and data protection "Made in Germany” Particularly in the healthcare sector, cyber security and data protection must be given the highest priority. After all, it is a matter of protecting lives. But it is also about sensitive, personal data that must not fall into the wrong hands under any circumstances. MOBOTIX video systems consist of high-quality components. Developed, produced, and comprehensively tested at the company's German headquarters in Langmeil/Rhineland-Palatinate, the company creates products and solutions that are impressive not only because of their outstanding image quality - even in the most challenging lighting conditions. One hundred percent DSGV-compliant, the decentralised MOBOTIX systems stand for the highest possible cyber security and comprehensive data protection. Unauthorised persons cannot read the stored data. Intelligent video technology Relieving the workload of hospital and nursing staff with "digital care” Using intelligent video technology from MOBOTIX can significantly reduce the hospital and nursing staff's workload Hospital and nursing staff often work at the breaking point. Using intelligent video technology from MOBOTIX can significantly reduce the hospital and nursing staff's workload. For example, adequate video support can be used to carry out control rounds digitally. On the one hand, this creates free space that can be used for personal care and nursing, while on the other hand, emergencies are reported directly at the time they occur - and thus, the staff does not lose critical time. Effective signaling and calling systems targeted alarm differentiation, and the avoidance of false alarms keep staff motivation high and reduce alarm fatigue. Incorporating audio systems Digital and discreet care for patients and those in need of care MOBOTIX provides discreet video support for round-the-clock security without anyone feeling they are being watched. The video surveillance systems in healthcare facilities are discreetly and unobtrusively installed; they also detect and alert only when defined events occur to keep recordings to a minimum. At the same time, patients and residents can be sure that help will arrive quickly in an emergency. Even at night, helpless individuals are detected immediately, ensuring their safety and preserving their independence. By incorporating audio systems, MOBOTIX video solutions for healthcare also enable patients to be addressed and communicated directly with. Licence plate recognition Optimise hospital and care processes Smooth organisation of routines helps hospitals and retirement and care facilities be efficient and profitable Smooth organisation of important routines helps hospitals and retirement and care facilities be efficient and profitable. Numerous processes can be automated and optimised with MOBOTIX video technology, from the facility's journey to check-out. For example, professional parking management with licence plate recognition can ensure that only authorised vehicles can access specified areas. In this way, ambulance access routes can be kept free, or parking fees can be billed in a straightforward, fast, and accurate manner. Queues in registration or examination areas can be avoided, and smooth administration and medical and care areas can be enabled. University hospitals or teaching institutions can use high-resolution camera systems, e.g., in operating theaters, to fulfill their teaching and training mission without disruptions. Customers can develop further apps that enable completely individual solutions themselves or have them created by MOBOTIX and its technology partners and certified concerning cyber security. Advanced video technology Comprehensive solutions with the best return on investment Healthcare is a market that is extremely important to MOBOTIX. The high level of solution expertise digitises processes and work steps in everyday hospital and home life, using intelligent and future-proof video technology. Thus, simplifying work and making it safer also relieves the healthcare budgets' pressure and increases profitability (ROI).
Security and surveillance systems have become a vital component of a casino management system enabling gaming club operators to monitor and manage security threats in real time. Apart from the original purpose of security measures, it helps raising concerns over card counting, advantage playing, and various other suspicious or prohibited activities. However, a typical casino atmosphere often involves great complexity in its environmental lighting, leading to high noise level in captured video images. Challenges: Inadequate lighting in casino making it difficult for cameras to distinguish colours and movement, resulting in blurry images. Lack of advanced video analytic functions in traditional surveillance systems presents difficulties to an effective monitoring process, with high labour cost needed for scanning live views and recorded footages manually. Access control system Different casino areas require different solutions to fulfill its demand. At gaming tables, it’s critical to capture the subtle movements of each players and dealers. Cameras with higher FPS, 3D DNR and super low lux image sensor gives a neater and brighter image under dim lighting, while 2-way audio provides additional audio information. Casino operations involve a multitude of monetary transactions in critical areas including cages, vaults and offices where cash, chips, and other valuables are circulated. An access control system integrated with facial recognition functions helps operators in strengthening the security level. Exceptional customer experience is the key to good customer loyalty. Facial recognition system Video analytics allows operators to filter videos recording smartly with object attributes With ANPR (Automated Number Plate Recognition) and facial recognition embedded into the management system of carparks and VIP lounges, customer entry and exit can be streamlined minimal interruptions. A modern video surveillance system complemented by top notch IP cameras can improve and simplify the entire operation. Modern video management software possesses features that are not offered by traditional systems. Video analytics such as human object detection allows operators to filter videos recording smartly with object attributes, e.g. colours of customer clothes. The architecture of modern video management provides scalability to accommodate the growing amount of video sources during business expansion. Standardised protocol offers higher interoperability in terms of 3rd party system integration with access control or alarm system. Cameras for centralised management Thanks to the internet, control center is now able to receive and group videos from dispersed cameras for a centralised management. The operators could access to the live views of different casino affiliates and receive real-time notification on mobile devices when specific events are in action.
SL Green Realty Corp., one of Manhattan's largest office landlord, has appointed Sharry to be a technology partner for the One Vanderbilt project scheduled to be opened in September 2020 in midtown Manhattan. Smart, integrated building systems Sharry is a pioneer in the newly emerging market of PropTech (property & technology). The company supplies an ecosystem of smart and integrated functions for premium commercial office buildings and customers in the Americas, Africa, and Europe. Recently, Sharry, the PropTech company, announced a new touch-free elevator system for COVID-safe buildings. One Vanderbilt Sharry was appointed by SL Green Realty to be a technology partner for One Vanderbilt in New York" A sky-line defining skyscraper tower, One Vanderbilt will be the epitome of the 21st century workplace space. Developed by SL Green Corp., the 1,401-foot-tall (427 m) commercial office building will be the 5th tallest building in the U.S. TD Bank is signed on as the anchor tenant of the 1.7-million-square-foot property, which is due to open in September of 2020. All users and tenants will be equipped with smart and mobile products delivered by Sharry. “Sharry was appointed by SL Green Realty to be a technology partner for One Vanderbilt in New York,” confirms Michal Cerovsky, Chief Operations Officer (COO) and a Co-Founder of Sharry. The company is headquartered in Prague, Czech Republic, EU. Digital solutions for a safer work environment "One Vanderbilt is already an architectural icon in New York, but its completion will open a new era in which digital solutions will provide a healthier and safer work environment," adds Vladimír Mašinský, Head of Business Development at Sharry, who also manages Sharry's partnership with SL Green Realty. Anchoring the modernisation of East Midtown region of New York City, One Vanderbilt will provide tenants with an impressive slate of amenities unrivaled in history of real estate in NYC, including a 30,000-square-foot tenant-only amenity floor with large format meeting spaces, club-style lounge and an extraordinary outdoor terrace. Direct connection to transit network Immediately adjacent to Grand Central Terminal, the building will create direct connections to the surrounding transit network. The building will also include an 11,000-square-foot high-design restaurant from world-renowned chef, Daniel Boulud. SL Green’s unprecedented US$ 220 million private investment to improve Grand Central’s public transit infrastructure has already begun to materialise. Tenants include a star roster of top-tier financial, banking and legal firms that have committed to One Vanderbilt. Integrating individual services and technological systems There are many innovations by Sharry that improve the commercial office building experience “It's a major milestone for Sharry to be a partner of the One Vanderbilt project, a prominent part of the New York City skyline, less than four years after the company was founded. At the same time, it tells us that we were correct in taking the more demanding approach, integrating individual services and technological systems available in buildings into a single platform,” said Josef Šachta, CEO and Co-Founder of Sharry. There are many innovations by Sharry that improve the commercial office building experience. The company brings in a new set of smart features integrated to the building, such as mobile access that allows workers to open doors or turnstiles, just with their smartphones. If the workers drive, a smart camera link recognises their licence plate and opens the gates. Smart parking management Parking management ensures maximal utilisation of parking spots. All users can take advantage of a tenant engagement platform for sharing important building-related news, chatting with other users, or booking shared amenities. Visitors to buildings where software from Sharry is installed can also expect the utmost in convenience. "A guest will receive a meeting invitation with a QR code. They can reserve a parking space, and the system will then automatically let in upon arrival thanks to smart cameras. The guests will then report to the reception using the QR code, just like check-in at airports. The host who invited the guest will then be notified that their visitor is already in the lobby," said Product Manager, Ondřej Langr, in describing another example of the multi-level integration offered by Sharry. Touch-free elevator system for COVID-safe buildings Recently, the company has announced a touch-free elevator system for COVID-safe buildings Recently, the company has announced a touch-free elevator system for COVID-safe buildings as its latest innovation. This anti-coronavirus feature enabling users to control elevators from their mobile phones or smart watches will be presented during Q3/2020 in the Sharry Workplace product line as part of a revolutionary mobile access system. Along with One Vanderbilt, Sharry is completing the implementation of its smart tools ecosystem in several other office buildings on the East coast of the USA. Thanks to these projects, it is firmly placed among the top players in the PropTech segment and especially in NYC, which last year ranked first on the Tech Cities index, which is compiled by the Savills consulting company. “We always wanted our software to be in the best buildings in every city to which we expanded. And New York was our dream destination. I am very proud of our entire team that we can work together here on the iconic building One Vanderbilt will soon be,” adds Josef Šachta.
Haier Group, China’s renowned home appliance manufacturer, has built a new industrial park in Russia to cope with the growing demand in Europe. Covering a total area of about 124.9 hectares, the new site is located in Naberezhnye Chelny, an important industrial city in Tatarstan, Russia. Intelligent system With the gradual completion of its factories in the industrial park, Haier is looking for an intelligent system to realise multiple tasks within the whole industrial park. Firstly, the smart system should be able to prevent theft and timely detect people climbing over the perimeter fence. Secondly, the intelligent security system should provide comprehensive monitoring in the whole industrial park and inside the factory unit, which includes, monitoring of production line and employees’ smoking behaviour during working hours at office areas, efficient employee attendance management, vehicle identification at the entrance and exit areas of the park, and the overall management of all the devices, data report outputs, and other facilities at the industrial park. Total smart solution The Dahua Russia team designed a complete smart solution incorporating AI cameras, perimeter cameras, ANPR system The Dahua Russia team designed a complete smart solution incorporating AI cameras, perimeter cameras, ANPR system, access control, time attendance system, face recognition barrier, DSS PRO platform and EVS storage for Haier’s industrial park. Notably, all of the devices were integrated in one central management platform, making it easier for operators to control and manage the system. In addition, the intelligent system also supports further device upgrade based on customer’s future plan for the next several years. Dahua 5MP WDR IR Bullet AI Network Cameras To help Haier solve the first problem, Dahua 5MP WDR IR Bullet AI Network Cameras were chosen to safeguard the perimeter of the Haier industrial park. Featuring active deterrence, the cameras are able to proactively warn intruders to leave before users take action. Once an intrusion is detected, a white light will turn on, accompanied by a buzzer to warn off the intruder. Additionally, its AI-powered perimeter protection function can greatly reduce false alarms caused by irrelevant objects. AI-powered perimeter protection The combination of advanced AI analytics and real-time alerts to desktop or mobile clients reduces system requirements and resources, thereby improving the efficiency of the surveillance system. The office areas and the interior of the washing machine factory are covered with Dahua 4MP WDR IR Dome Network Cameras, while public areas are monitored by 2MP 25x Starlight IR PTZ Network Cameras. As a member of Dahua Eco-savvy product family, the Dahua 4MP WDR IR Dome Network Cameras adopt upgraded H.265 encoding technology to provide starlight, Smart IR technology, as well as intelligent image analysis techniques. It saves bandwidth and storage, with energy-saving design to enhance monitoring performance of the system. Intelligent Video System analytic algorithm As for public areas, Dahua 2MP 25x Starlight IR PTZ Network Cameras have powerful optical zoom With built-in Intelligent Video System (IVS) analytic algorithm, these dome cameras also support intelligent functions to monitor a scene for tripwire violations, intrusion detection, and abandoned or missing objects. In the future, it can respond quickly and accurately to events in the monitored areas. As for public areas, Dahua 2MP 25x Starlight IR PTZ Network Cameras have powerful optical zoom and accurate pan/tilt/zoom performance that can provide a large monitoring range and rich details. Through the latest Starlight technology, the cameras can achieve excellent low-light performance. In addition, these cameras are equipped with smooth control, high quality image and good protection, which meet the requirements of most industrial parks. Dahua face recognition barriers Dahua face recognition barriers were deployed at the entrance of the Haier industrial park and its office building, allowing quick and touchless passage of registered Haier employees without using employee cards or other identification documents. The system is based on a deep learning algorithm powered by AI, which compares facial images captured by the camera with those stored in the library to verify a person’s identity and grant permission. Access will be denied for unregistered people. 2 Megapixel Full HD AI Access ANPR cameras The industrial park’s entrance and exit use 2 Megapixel Full HD AI Access ANPR cameras to identify entering and exiting vehicles. Boasting a capture rate of over 99%, the cameras can automatically recognise the number plate of a vehicle in low speed less than 40 kmph, and capture vehicle data such as vehicle direction, vehicle size and vehicle color detection (in daytime) based on deep learning algorithm. Aside from these capabilities, the cameras can also control the barrier according to the whitelist set by users and let registered vehicles pass without stopping. Dahua DSS PRO management platform The Dahua DSS PRO management platform integrates all cameras and the stated devices At the management center, all the information collected by font-end cameras will be transferred to a 16-HDD Enterprise Video Storage. With Seagate HDD, the device offers unparalleled capacity performance for users to store massive videos and obtain evidence when needed. The Dahua DSS PRO management platform integrates all cameras and the aforementioned devices, allowing operators to easily control and manage the system. Smart industrial park solution Dahua Technology’s smart industrial park solution has assisted Haier in creating a modern intelligent industrial park in Russia. The up-to-date Dahua AI equipment provides Haier a long-term smart security system with upgraded security level and enhanced management efficiency. “The traditional personnel management system requires manual registering of employee information and cards to enter and exit office areas, which is inefficient and difficult to manage, and often high in cost,” said Zhao Shengbo, Regional Director of Dahua CIS. Upgrading access verification system Zhao adds, “Upgrading the access verification system is crucial for modern companies like Haier in order to increase the security level of its industrial park and office building. We look forward to our future cooperation.” “During the requirement discussion, solution design, and engineering survey, Dahua shows professionalism and excellent communication skills. Haier is satisfied with the first step cooperation and looking forward to the second step of the project,” said Liu Wei, Overseas Regional Project Manager of Haier Group.
Round table discussion
When technology performs a required task effectively, there is little reason to upgrade to the ‘next big thing’. In this regard, the physical security market is notoriously slow to change. Much of yesterday’s most robust and dependable equipment is still in place at thousands of customer sites, still performing as well as the day it was installed. However, there comes a point when any technology becomes outdated. We asked this week’s Expert Panel Roundtable: Which security technologies are becoming outdated or obsolete?
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?
When it comes to security and to ensuring the integrity of gaming operations, today’s casino market is risk-averse. Regulations direct the required surveillance of table games and slot machines, while modern casinos are often sprawling complexes that have a variety of other risks to be addressed, too. We asked this week’s Expert Panel Roundtable: What are the challenges of the casino market relating to security and surveillance technology?