License plate recognition
At the end of September 2019, eleven professional application developer companies, primarily from Nordic countries, got together in Stockholm to demonstrate their creations for Airbus’s Tactilon Dabat device. This was the 5th edition of the Critical App Challenge, which has already taken place in Germany, Belgium, Hungary, and the Middle East and North Africa region in order to give local innovative companies from these regions the chance to demonstrate their solutions for public safety a...
People and vehicle access control specialist Nortech is now offering Nedap’s ANPR Lumo, an advanced licence plate camera for vehicle access control. The ANPR Lumo is an all-in-one licence plate camera, including embedded software, analyser and IR illuminator. With a range of action of 2 to 10 metres, the advanced camera ensures a smooth recognition of vehicles. Applications include automatic toll collection Typical applications include vehicle access control, automatic toll collection,...
Pelco, Inc., a provider of intelligent video surveillance solutions, releases the Sarix Professional (Pro) Series 3 Fixed IP cameras. Offered in mini-dome, bullet, box, and wedge configurations, these IP cameras deliver a balanced set of features and performance at affordable price points that allow for deployment across a wide range of indoor and outdoor applications, including low light and wide dynamic range capabilities with options of 1MP, 2MP, 3MP, and 5MP resolutions. Bi-directional aud...
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?
According to a recent report published by business intelligence provider IHS Markit, Genetec Inc., a technology provider of unified security, public safety, operations, and business intelligence solutions, has become one of the fastest growing providers of access control software in the world. The IHS report showed Genetec rising to the number 3 position in the Americas region (with a 45% growth in business in the region), and to the number 6 position globally in 2018. According to the report A...
Redvision, the manufacturer of high-performance, rugged, CCTV cameras and housings, enhances its VMS1000™ open platform control system with a comprehensive range of new features. The VMS1000™ is a video management software and analytics solution, powered by Digifort, which is cost-effective, scalable, intuitive and server-based, with no annual maintenance fees. Standard analytics functionality Over 300 camera brands and 10,000 individual camera models are integrated with the VMS10...
Taking video analytics to the next level, VIVOTEK, globally renowned IP surveillance solution provider, has introduced a brand new license plate recognition camera, the IB9387-LPR. Featuring a built-in license plate recognition software and edge-computing capability without additional server, the IB9387-LPR can identify license plates of vehicles from over 70 countries around the world. These and other features make it one of the most powerful License Plate Recognition (LPR) system and a cost-effective all-in-one device applied for condominiums, parking access control and Stop & Go toll systems. VIVOTEK IB9387-LPR camera VIVOTEK’s IB9387-LPR offers efficient access control management through black & white lists VIVOTEK’s IB9387-LPR also offers efficient access control management through black & white lists and multi-site camera centralised maintenance. With a black & white list embedded inside the IB9387-LPR, the control barrier will open the gate when a white list vehicle is detected. On the other hand, a blacklist vehicle will trigger an alarm and a notification will be sent to security staff. With VIVOTEK’s IB9387-LPR, security staffs of parking lots with multiple entry points no longer need to upgrade system one after another. They can simply upload these lists to a single centralised LPR camera and all the other LPR cameras will download the master list, thus significantly reducing both installation time and maintenance efforts. Application Programming Interfaces Thanks to its various Application Programming Interfaces (APIs), third-party systems such as parking management, toll collection, and weighbridge systems are able to receive live LPR images with specific country, state, date, time, and confidence level from IB9387-LPR. Additionally, the sophisticated camera is safeguarded by Trend Micro IoT Security, providing proactive protection in cybersecurity. Combining recognition and security management technology, VIVOTEK’s IB9387-LPR offers an intelligent, scalable and highly secure standalone LPR system.
AxxonSoft, a developer of intelligent VMS and PSIM software, is proud to present Axxon Next VMS version 4.3.2. The new version introduces new capabilities in video analytics and smart forensic search, integration of multiple camera feeds into a single panoramic view, centralised server management for maintenance and updates, as well as many other enhancements and improvements. Added Queue Length and Visitor Counter detection tools. The Queue Length detection tool counts visitors within a designated area and notifies the system when the limit is exceeded. The Visitor Counter counts visitors entering and exiting a specific area. Both detection tools are targeted at the retail industry. They provide accurate estimates of traffic in stores and sales areas and enable effective management of POS staff. Smoke video detection Support for handling metadata from ANPR cameras was added as well Support for handling metadata (recognised license plates) from ANPR cameras was added as well. This makes it possible to reduce the server load while searching in Video Footage by license plate numbers. That means you can use more cameras per server. AI-powered fire and smoke video detection tools now use dedicated neural networks for each type of hardware (CPU, GPU, and Intel® Movidius™ VPU) for increased performance. MomentQuest is now available through a web client that comes even closer to desktop software. The MomentQuest smart forensic search system performs real-time scene analysis and generates a stream of metadata – a lean description of moving objects within the scene – which is recorded along with video stream. Retrieving recorded footage To retrieve recorded footage of an event of interest, you just need to enter specific criteria: motion in area(s), crossing of a line, object colour or size etc. Within seconds the system displays relevant video thumbnails, which makes it truly interactive. Also, you can now use saved MomentQuest search criteria on any other camera channel. You can zoom in on a portion of the panoramic view to display it in a separate tile The newly introduced FrameMerge function ensures much more convenient and efficient coverage of wide areas, such as sports arenas, airports and seaports, warehouses, production facilities, and public spaces. FrameMerge stitches video feeds from adjacent cameras into a single panorama which can be viewed in real time, played back from Video Footage, or exported. You can zoom in on a portion of the panoramic view to display it in a separate tile. Integrated video image The panoramic view is stitched automatically - the algorithm scans images from adjacent cameras for appropriate stitching points and matches these points in the integrated video image. The Failover Service is sufficiently improved. You can now suspend any server in the cluster with no system downtime, e.g. for maintenance. The configuration of the suspended server will be automatically transferred to the backup server and restored when the server is restarted. All servers within the cluster can now be updated with a single distribution package or a link to a file on the network. This approach makes system updates a breeze.
Senstar, a provider of video management systems (VMS) and perimeter intrusion detection systems (PIDS), is pleased to announce its products were recently selected to protect five airports in various locations around the world. These sites join the list of hundreds of civilian and military airports currently using Senstar products. “Airport infrastructure and assets represent a vital economic engine for many cities and countries making them prime targets for vandals, thieves and terrorists,” said Senior Vice President and Chief Operating Officer Jeremy Weese. “Senstar products help to keep operations, goods and people safe and moving.” Improve security monitoring Senstar’s VMS, video analytics, and associated hardware reduce operator workload and improve overall security monitoring by automatically detecting persons of interest, items left in public spaces, crowd formations, and wrong way movement between landside-airside egress points. These technologies also streamline operations and centralise IT management in the cloud, saving time and money. While Senstar VMS and PIDS are open platforms designed for integration with a wide variety of systems" Senstar’s PIDS provide early warning of unauthorised entry onto airport grounds, including into sensitive areas within the apron such as aircraft parking, fuel storage, electrical substations, and navigation/communication equipment areas. “While Senstar VMS and PIDS are open platforms designed for integration with a wide variety of systems, they work even better together,” said Mr. Weese. Perimeter intrusion attempt Built-in integration enables security personnel to monitor a wide range of sensors and cameras from a single workstation, with the end result being simplified operator interfaces and reduced response times. For a real world demonstration on the benefits of integrated VMS and PIDS solutions, watch Senstar’s surveillance video of a recent perimeter intrusion attempt. The new airport projects use the following Senstar products: Symphony VMS (manages 250 cameras), Enterprise Manager software (centralised cloud management), Thin Client network video display appliances, Face Recognition, Automatic License Plate Recognition, Left and Removed Item Detection, Outdoor People and Vehicle Tracker analytics, FiberPatrol® fiber optic fence-mounted intrusion detection system, and OmniTrax® buried cable intrusion detection system.
According to a recent report published by business intelligence provider IHS Markit, Genetec Inc., a technology provider of unified security, public safety, operations, and business intelligence solutions, was named the world’s number one vendor of Video Management Systems (VMS). IHS-reported results from 2015-2018 also point to the company sustaining a 24.1% CAGR (compound annual growth rate) for the past 3 years in this category. In the Americas, Genetec remains the leading VMS manufacturer by a wide margin for eight consecutive years, with an 18.3% share of this $4.1 billion market. Genetec has also taken the number one position in the $1.7 billion market for back-end video surveillance equipment in the Americas. In the rest of the world, Genetec grew its VMS revenue at a fast rate: In EMEA, Genetec revenues grew by 20.5% in 2018, while in APAC (excluding China), Genetec grew its revenues by 22.5%. IP-based physical security solutions Our independence and single-mindedness have helped us earn the trust of enterprise and government users"“As a privately owned, independent manufacturer of IP-based physical security solutions, we reinvest a much higher proportion of our annual top-line revenue into R&D than most,” states Pierre Racz, President, Genetec Inc. “Our independence and single-mindedness have helped us earn the trust of enterprise and government users. We want to delight the customer. Circumstances have propelled us to be outspoken about privacy and cyber-security.” “These factors, along with good-fortune, strong partnerships and a great team, are some of the factors that explain the appeal of our solutions,” explains Racz. "We will continue to lower the friction with which our customers integrate new sensors and other systems into the decision-making of their operations.” According to IHS Markit (2017 Video Surveillance Market Share Database, 2017 Access Control Intelligence Database, and 2018 ANPR & Detection Sensors Report), Genetec is the only security and public safety solutions developer to hold top-10 global rankings across all physical security industry sectors including video management software (VMS), access control software, and automatic license plate recognition (ALPR) software.
VIVOTEK, an IP surveillance provider, will be showcasing its latest comprehensive surveillance solutions at IFSEC 2019, taking place from June 18 to 20 at ExCel London. During IFSEC 2019, VIVOTEK will present Deep Learning Smart VCA, Cybersecurity Management Solution, and a brand new license plate recognition camera. As one of the founding members of the Open Security & Safety Alliance (OSSA), VIVOTEK, in its shared pursuit of a common standardised platform, will also reveal an innovative Android-based AI camera at its booth (#IF2324). Event highlights At IFSEC 2019, 4 highlights will be exhibited by VIVOTEK: Deep Learning Based People Detection: In the era of Artificial Intelligence, VIVOTEK aspires to bring more valuable analysis of human behaviour to its solutions. Based on its self-developed Deep Learning based People Detection technology, VIVOTEK has improved security with proactive detection and now focuses this technology on commercial opportunities. With accurate People Detection technology, only the activities of persons will trigger an event. It thus significantly reduces false alarms as well as enhances operational efficiency by making use of data insight reports. VIVOTEK will introduce the latest end-to-end Cybersecurity Management Solution Wide Coverage 180-Degree Solution and Cybersecurity Protection: VIVOTEK will demonstrate a series of 180-degree solutions offering panoramic supreme views for different applications. The 180-degree solution considerably reduces the total number of cameras required, and ultimately saves both cost and time spent on installation. In addition, VIVOTEK will introduce the latest end-to-end Cybersecurity Management Solution and display how it responds to a live cyber attack targeted on network cameras at its booth. New License Plate Recognition Solution: As the demand for License Plate Recognition (LPR) rises, VIVOTEK continues to develop more advanced solutions to meet user requests. In IFSEC 2019, VIVOTEK will reveal the latest H.265 bullet license plate recognition camera, the IB9387-LPR. Featuring edge-computing technology, the brand new IB9387-LPR is embedded with license plate recognition software capability and is able to identify license plates on a black list or white list. It allows users to receive real-time recognition without delay and effectively reduces loading of the backend server. All of these features are making this camera an ideal product for parking access control and STOP & GO toll applications. New Android-based AI Camera for OSSA: VIVOTEK is one of five founding members of OSSA, the alliance aiming to create a common standardised platform for security and safety solutions. To support its mission, VIVOTEK has dedicated itself to developing its very first camera prototype on the Android platform to be displayed at IFSEC 2019.
After the Innovation Summits in Athens and Langmeil and the company’s attendance at the ISC West in Las Vegas, where MOBOTIX presented the latest research and R&D successes and trends to customers and partners, ‘Spring Splash’ marks the market launch of the latest innovations. MOBOTIX is demonstrating the company’s innovative strength to both its partners and customers. “We want to exploit the potential of MOBOTIX technology and DNA and focus on quality from Germany and cybersecurity,” said MOBOTIX CEO Thomas Lausten at the various launches. MOBOTIX also sees good opportunities and growth potential for video surveillance outside the traditional security sector: “We focus our research and development activities on continuously opening up new markets for MOBOTIX – whether in production monitoring, customer behaviour in retail stores, in the health care sector or in logistics – in close co-operation with our technology partners,” explains Lausten. ONVIF-compliant MxManagementCenter The Spring Splash event sees the launch of version 2.1 of the MxManagementCenter, which is ONVIF-compliantMOBOTIX works on regularly optimising and expanding its range of products and solutions in order to develop market-driven and future-oriented innovations and to ensure the greatest possible cybersecurity for these innovations in Langmeil, Germany. Together with the R&D colleagues of the technology partners, such as Konica Minolta, new solutions for vertical markets were developed and brought to marketability: The Spring Splash event sees the launch of version 2.1 of the MxManagementCenter, which is ONVIF-compliant like all MOBOTIX IoT and MOVE camera models. This means it complies with the worldwide open standard for IP-based security products. MOBOTIX offers its customers a simple and scalable total solution for video-supported search for a variety of applications with its new Smart Data license, regardless of the industry. Real-time secure transmission of data The MOBOTIX Smart Data solution enables the combination of almost any multi-layered data source, such as cash register or car license plate detection systems, using the video data from MOBOTIX IoT cameras. All data can be securely encrypted and transmitted in real time, and the results can be analysed onsite or via an Internet connection from any MxMC workstation worldwide. “Our Smart Data solution is a valuable tool, especially for our solution and technology partners, for integrating their technological developments into our MxManagementCenter,” continues Lausten. MxBell 2.1, the MOBOTIX app, is the mobile remote station for MOBOTIX IP video Door Stations and IoT cameras There will be a firmware release going online for the MxThinClient, which will enable an IP video interface to display live images from all MOBOTIX IoT and MOVE camera models and Door Stations on a monitor/TV set. Both the stability and access security of the MOBOTIX system are increased thanks to the option of direct displaying camera images without the need for operating software or even a PC workstation. MxBell 2.1 app for IP video Door Stations MxBell 2.1, the MOBOTIX app, is the mobile remote station for MOBOTIX IP video Door Stations and IoT cameras. The app’s interface underwent a facelift to improve user-friendliness and now sends push notifications for all Door Stations and camera events. Especially valuable for the user is the visitor and event documentation, which makes it possible to track events quickly and easily at any time and from anywhere. The system release Mx-V22.214.171.124 for all Mx6 x16/x26 cameras reduces bandwidth and storage requirements by 25% thanks to 3D noise reduction, among other things. In addition to data security, data economy is indispensable in the world of the IoT and is therefore of utmost importance for MOBOTIX in the interests of its customers.
According to the reports of not-for-profit organisation Gun Violence Archive, the year 2018 has seen 323 mass shooting incidents as of November 28 in the United States. This number is 346 for the year 2017 and 382 for 2016 (more statistics are available here), with “mass shooting” defined as cases where four or more people are shot or killed in the same time period and location. While definitions of mass shooting vary with organisations in the US, the count of over 300 incidents per year, or about once per day on average, is simply alarming. It raises public safety concerns, ignites debates and protests, which in turn lead to public unrest and potentially more violence, and increases costs for governments from the regional to federal level. Most importantly, the loss of lives demands not only improvement in post-incident handling and investigation, but also new prevention technologies. Gunshot detection solutions AI weapon detection offers a more efficient alternative to prevent active shooting There are several gunshot detection solutions in the security market, commonly used by law enforcement agencies to detect and locate gun fires. These systems function based on acoustic recordings and analyses and often in combination with signals detected by sensors of the optical flash and shockwave when a gun is fired. However, gunshot detection by nature dictates that the law enforcement can only react to a shooting incident that has occurred. With fast action, law enforcement can prevent the incident from escalating, but lives that are lost cannot be recovered. With the development of artificial intelligence in object recognition, AI weapon detection offers a more efficient alternative to prevent active shooting: AI can visually detect guns based on their shapes before they are fired. The AI is trained to recognise firearms in different shapes, sizes, colours, and at different angles in videos, so that the AI weapon detector can be deployed with existing cameras systems, analyse the video feeds, and instantly notify security staff when a gun is spotted. Comparison of the advantages for law enforcement and public security agencies Legacy gunshot detection using sensors AI weapon detection Reactive measure: detect after guns have been fired Proactive measure: detect before guns are fired Time to action: within 1 second Time to action: within 1 second Unable to provide visual data about shooter(s) Can provide data about shooter(s) based on the camera recording: clothing, luggage (backpack, handbag, etc.), facial features, vehicle Unable to track the location of the shooter(s) before and after shooting because of the lack of sound Can track the shooter(s) using AI Person & Vehicle Tracking, AI Face Recognition, and AI License Plate Recognition False detection caused by similar sound such as fireworks and cars backfiring Minimal to no false detection, as AI can distinguish different types of handguns and rifles from normal objects (umbrella, cellphone, etc.) Require physical deployment of gunshot detection sensors Can be used with existing camera systems, do not require special hardware Complicated to deploy, require highly trained professional Easy to deploy as an add-on to existing video surveillance system - Can integrate with gun-shot detection to create a “double knock” audio and video active shooter alert system Gun-shot detection advantages In addition to advantages for law enforcement and public security agencies, this type of visual-based pre-incident detector has three-fold advantages for the public: Save lives by spotting the shooter before the shooting event. Minimise the chaos entailing an incident: panic and chaos caused by a shooting incident often adds to injury, as people run, fall, trample on others… With an AI weapon detector, when a gun is spotted, the system sends an alert to security staff, who can quickly control the situation in an organised manner and apprehend the intending shooter. Can be added as a SaaS (Security as a Service) component to small business and home surveillance systems, e.g., intrusion detection alerts (home invasion incidents with firearms number over 2500 per year nationwide). For a complete active shooter detection system, video-based AI detector can operate in conjunction with gunshot detectors for enhanced security. Traditional X-ray based weapon detection or metal detection entrance systems are complicated and expensive; with AI video technology, active shooter detection system can be cost-effective, and after all, what price tag can one put on a life? Written by Paul Sun and Mai Truong, IronYun
It amazes me how in a few short years security systems have gone from simple, dumb cameras witnessing events to intelligent eyes, ears, speech and touch solutions that boost situational awareness far beyond human capabilities. It seems the only senses missing from the equation now are smell and taste. And who knows, someone might be working on those in a lab somewhere right now. But what’s really fascinating to me is how the Internet of Things (IoT) has opened a world of possibilities for transforming security technology into something new yet again. With IoT we’re able to push and pull nuggets of intelligence from sources we never considered before: environmental sensors, pressure plates, door lock timers and much more. It’s helped us break through the constraining mindset that security systems are strictly single-purpose. With interconnectivity at the core, we’re starting to imagine myriad ways to apply these tools to challenges outside the realm of security. Here are just a few examples. Flood management assistance Network camera adds another dimension and timeliness to flood management by helping responders investigate remotely As recent hurricanes and floods have shown, water damage can be devastating to a community. That’s why some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem. Water sensors collect data from multiple sources such as rain gutters, sewer systems and pump stations, in order to monitor fluctuations in water levels and water quality. If an alert triggers, having a network camera in proximity to visually verify the situation helps responders determine the best course of action. For instance, if multiple water detection sensors trigger alerts simultaneously or sequentially over a large area it’s probably due to natural runoff from recent rainfall. But without eyes on the scene, how can you be sure? Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely. It might be a fire hydrant spewing water, a water main break or even a chemical spill. With video streaming live to the command center, staff can remotely inspect the area, determine the cause of the trigger and decide whether remediation is required, thus avoiding the expense of dispatching an investigative crew to a non-event. Some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem Environmental control assistance Data centers house the lifeblood of a business so it’s no wonder why companies work hard to protect them. We’re all familiar with the integration of network cameras with access control systems to visually verify who is actually using the credentials. Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely But there’s another aspect to protecting data centers and that’s environment control. Data centers need to maintain optimum humidity and temperature for the racks of electronics. When environmental sensors in the facility detect out-of-norm ranges technicians can remotely command a network camera to zoom in on the gauges and help them determine whether remediation might be necessary. Coupling network cameras with other sensors in the data center can provide visual confirmation of other conditions as well. For instance, every time a data rack door-open-close sensor detects an event it can trigger the camera to pan to the location and stream video to security. Some data centers employ weight sensors at the doorway to weigh personnel and equipment as they enter the room and when they exit to ensure no additional hardware is being taken out of the facility or left inside without permission. Any discrepancy would trigger the camera to zoom in for a close-up of the individual’s face and send a visual alert and ID information to security. Roadway management and parking assistance Network cameras have long played a part in city-wide traffic management. Adding video analytics and integration with network sensors, makes those cameras that much smarter and versatile. They can detect cars driving in bike lanes or driving in the wrong direction and capture license plates of offenders. Their ability to detect anomalous traffic flow patterns can be integrated with car counting sensors, networked electronic road signs and traffic light systems to automatically redirect vehicles to alternate routes. They make great, intelligent parking lot attendants, too. Working in conjunction with weight sensors network cameras can count vehicles coming into and leaving a lot or garage and verify when the facility has reached capacity. License plate recognition and video analytics can be used to ascertain that a vehicle entering a reserved parking space doesn’t match the credentials and vehicle attributes in the database. With the addition of noise sensors and audio analytics, network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds – breaking glass, car alarms, gun shots, and aggressive speech – and triggering a visual alert to first responders. Network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds and triggering a visual alert to first responders Shopper experience assistance In the early days of online shopping, e-tailers designed their sites to replicate the in-store customer experience. In an ironic turn of events, today brick-and-mortar stores are trying to mirror the online shopping experience. To do so, they’re turning their security systems into adjunct sales assistance. With network video and audio system automation they can recognise and acknowledge loyal customers with personal greetings. Retailers are applying people counting video analytics to checkout activity to create rules-based consistency in customer service With heatmapping analytics they can measure how much time a customer spends in a specific department or observe how they walk through the aisles of the store. They can track shopping behaviors such as items looked at that made it into the cart or didn’t, or whether a customer actually checked out or left the merchandise behind. By capturing these shopping patterns and trends retailers can shape a more positive, more profitable customer shopping experience. For instance, integrating video analytics with point of sale systems and RFID sensors on merchandise tags can result in timely alerts to sales associates to recommend additional merchandise. This is a case of emulating how e-tailers let the customer know that other customers who bought X often also purchased items Y and Z. Or to avoid disappointing customers due to stock outages, retailers are linking weight sensors and video analytics to make sure their shelves are well-stocked and if not, quickly alert associates to what items need to be restocked. Capturing business intelligence Retailers are also using video cameras to monitor checkout queues and trigger automated announcements over the public-address system, closed system such as smartphones or other wireless communications devices that checkers are needed rather wait for a person to call for backup. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs They’re applying people counting video analytics to checkout activity to create rules-based consistency in customer service. While retailers will always use their surveillance camera for loss prevention, they’re finding that integrating traditional technology in new ways can yield even bigger returns. Linking network video surveillance, video analytics, network communications system and sensors with point-of-sale systems and customer loyalty databases, retailers are capturing the business intelligence they need to get back in the game and make brick-and-mortar a greater overall experience than online shopping. A natural cross-over technology This trend towards integration has forever changed how organisations view their investment in security technology. The intelligence and versatility of a tool that can see, verify and analyse what’s happening in real-time is spurring users to tap its cross-over potential for a host of other tasks that could benefit from more astute situational awareness – everything from manufacturing and equipment maintenance to logistics, inventory control and beyond. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs. How we capitalise on that connection is only limited by our imagination.
In today’s market, efficient use of bandwidth and storage is an essential part of maintaining an effective video surveillance system. A video management system’s ability to provide analysis, real time event notifications and crucial image detail is only as a good as the speed and bandwidth of a surveillance network. In the physical security industry, H.264 is the video compression format used by most companies. Some companies also employ H.264 enhancements to compress areas of an image that are irrelevant to the user at a higher ratio within a video stream in order to preserve image quality for more important details like faces, license plates or buildings. The H.265, H.264’s successor, will be increasingly used for compression in the future. Some companies are already using H.265 in their cameras and video management systems, while a host of other manufacturers are certainly preparing for its broader adoption in the years to come. Video compression technologies Reduced bandwidth and storage requirements are the primary benefits of video compression technologies Reduced bandwidth and storage requirements are the primary benefits of video compression technologies. In some cases, H.265 can double the data compression ratio of H.264, while retaining the same quality. Increased compression rate translates into decreased storage requirements on hard drives, less bandwidth usage and fewer switches – all of which reduce overall costs of system ownership. H.265 compression delivers a lower bitrate than H.264, which is relevant to end users and integrators because the lower bitrate reduces strain on hardware and can reduce playback issues. It’s very important that the compression format that is used is supported in all of the different components of a system: cameras, desktop computers on which the VMS is running and the VMS itself. It is also good for end users and integrators to understand the basics of video compression. Having a basic understanding of compression allows users to tweak settings to reduce bandwidth usage even more. Many cameras come with default settings that can be changed to ultimately reduce costs. ONVIF physical security In the physical security industry, ONVIF is working to incorporate into its specifications the use of new formats such as H.265 but is not directly involved in developing the compression standards themselves. With Profile T, the new ONVIF video profile released will employ a new media service that is compression agnostic. This means that it can support new video compression formats, including H.265, as well as new audio compression formats, with the ability to include new video and audio codecs as needed in the future without having to redesign its media service. In the physical security industry, ONVIF is working to incorporate into its specifications the use of new formats such as H.265 Standardisation organisations that are directly addressing new compression standards include the International Telecommunication Union (ITU), the Moving Picture Experts Group (MPEG) and a joint commission of the International Organization for Standardization (ISO)/International Electrotechnical Commission (IEC), which is addressing the coding of audio, picture, multimedia and hypermedia information. Other compression formats on par with H.264 and H.265 are being developed by companies such as Google. H.265 compression formats Using products that employ H.265 compression will reduce costs through bandwidth reduction, as will changing default settings on cameras, which are often conservative. Having a basic understanding of compression formats and how to tweak camera factory default settings also gives integrators the ability to further reduce bandwidth for added costs savings and increased system performance. These enhancements will analyse which parts of an image are most important and adjust local levels of compressions accordingly It is also worth noting that H.265 enhancements will likely be developed by camera manufacturers to further reduce bandwidth, as was the case with H.264. These enhancements will analyze which parts of an image are most important and adjust local levels of compressions accordingly. While H.265 itself is ready for prime time, its value as a tool for IP-based surveillance systems is dependent on support for the codec in all parts of the system – the VMS, server hardware, graphics cards and camera. Though widespread H.265 adoption is predicted, providers of these components are jumping on the H.265 bandwagon at different rates of speed. ONVIF is including support for H.265 in its new video profile, Profile T, because it believes it will become the most widely used compression format and ONVIF recognises the need to anticipate that migration as a future need of the industry. The new media service, which will be implemented with Profile T, will be future-proof in that when new compression formats are released in the future, ONVIF can adopt them very quickly. That flexibility will definitely help integrators.
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.
The basic need for public safety is one of the biggest forces driving the adoption of smart city solutions: approaches that seek to solve urban challenges through technological means. The thinking behind these initiatives is that with enough internet connectivity and real-time data, surely environmental, social, economic, and public health issues should become more manageable. However, just adding more technology is not the whole answer. Although technology is necessary for an urban area to transition in to a safe and smart city, technology alone isn’t sufficient. Truly smart cities are savvy cities and that includes how they employ software, sensing, communications and other technologies to meet their needs. Cities need solutions that help find what you need and convert the ‘too much information’ into ‘actionable intelligence’ Some of those initiatives, however, like red light cameras or computerised flight passenger screening systems, have amounted to little more than ‘security theater’, which might waste limited resources and further delay the smart city transition due to over-hyped solutions and unrealistic projected return on investment. In other words, technology doesn’t necessarily result in more safety. But does this mean we are also more likely to quickly find what we need? Cities need solutions that help find what you need (e.g. a missing child or a suspect) and convert the ‘too much information’ into ‘actionable intelligence’. Data capture form to appear here! Better connectivity promotes safety There is a growing shift towards younger generations wanting to live in the city where they have access to public transportation, restaurants and entertainment. They also expect to live in a safer environment, and this is where the smart city approach comes into play with the introduction of WiFi in parks and public spaces, along with surveillance systems. These two solutions and services can now sit on the same network, thanks to better connectivity options and interference free solutions, such as mmWave wireless radios. Younger generations expect to live in a safer environment, and this is where the smart city approach comes into play with the introduction of WiFi in parks and public spaces, along with surveillance systems For example, Siklu Inc., a provider of mmWave wireless solutions, announces Smart City deployments based on Siklu’s broad E-band and V-band product portfolio previously reached, and now have likely surpassed, a milestone of 100 cities installed. Smart Cities, which were initially defined as municipalities connecting low data rate sensors for water, gas and more, have been evolving to demand high-capacity connectivity at gigabit-per-second speed. This high-bandwidth network infrastructure is needed to support new applications such as video security, public Wi-Fi backhaul, and private city network deployments. Linking AI and smart cities Dubai is an example of how artificial intelligence and smart city projects have become intrinsically linked. Under the leadership of His Highness Sheikh Mohammed bin Rashid al Maktoum, authorities in Dubai have set out to “make Dubai the happiest city on Earth” by adopting cutting-edge smart city initiatives. Dubai Police has launched a range of public safety initiatives including Smart Police iOS apps, traffic accident and location systems, and SOS apps for wearable devices. Dubai Police shows how artificial intelligence can power new Robocop prototypes – unarmed, life-sized patrolling robots carrying facial recognition software and automatic license plate recognition (ALPR). Authorities in Dubai have set out to “make Dubai the happiest city on Earth” by adopting cutting-edge smart city initiatives NVIDIA’s Metropolis™ intelligent video analytics platform is paving the way for the creation of AI cities. Metropolis Deep Learning makes cities safer and smarter by applying deep learning to video streams for applications such as public safety, traffic management and resource optimisation. More than 50 NVIDIA AI city partner companies are already providing products and applications that use deep learning on GPUs. “Deep learning is enabling powerful intelligent video analytics that turn anonymised video into real-time valuable insights, enhancing safety and improving lives,” said Deepu Talla, vice president and general manager of the Tegra business at NVIDIA. “The NVIDIA Metropolis platform enables customers to put AI behind every video stream to create smarter cities.” Smarter access control in cities Advanced software suites can provide access to all operations performed by users A smart city is one that uses information and communication technologies to increase operational efficiency, share information with the public and improve both the quality of government services and resident welfare. Smart access control is an important step forward in providing technologically advanced security management and access solutions to support the ambitions of smart cities and their respectively smart industries. With high volumes of people entering and exiting different areas of the city, it is important to be able to trace who has been where, when and for how long. Advanced software suites can provide access to all operations performed by users, including a complete audit trail. This information is often used by business owners or managers for audits, improvements or compliance.
The mindset behind a new law to prohibit the use of facial recognition and other security-related technologies by San Francisco police and other city agencies is obvious in the name of the new ordinance: “Stop Secret Surveillance.” Ordinance to stop secret surveillance The San Francisco Board of Supervisors passed the ordinance 8-1 with two abstentions on May 14, and there will be another vote next week before it becomes law. We have an outsize responsibility to regulate the excesses of technology precisely because they are headquartered here" The irony of such a law emanating from northern California, where tech giants promote the use of numerous technologies that arguably infringe on privacy, is not lost on Aaron Peskin, the city supervisor who sponsored the bill. “We have an outsize responsibility to regulate the excesses of technology precisely because they are headquartered here,” he told the New York Times. Regulating facial recognition technology Although the facial recognition aspects of the ordinance have been the most publicised, it also targets a long list of other products and systems. According to the ordinance, "Surveillance Technology" means “any software, electronic device, system utilising an electronic device, or similar device used, designed, or primarily intended to collect, retain, process, or share audio, electronic, visual, location, thermal, biometric, olfactory or similar information specifically associated with, or capable of being associated with, any individual or group.” Broadly interpreted, that’s a lot of devices. Includes biometrics, RFID scanners The ordinance lists some examples such as automatic license plate readers, gunshot detection hardware and services, video and audio monitoring and/or recording equipment, mobile DNA capture technology, radio-frequency ID (RFID) scanners, and biometric software or technology including facial, voice, iris, and gait-recognition software and databases. Among the exceptions listed in the ordinance are physical access control systems, employee identification management systems, and other physical control systems; and police interview rooms, holding cells, and internal security audio/video recording systems. The ordinance ban applies to city departments and agencies, not to the general public and exceptions include physical access control systems, employee identification management systems, and internal security audio/video recording systems Airport security not part of ordinance The ban only applies to city departments and agencies, not to private businesses or the general public. Therefore, San Franciscans can continue to use facial recognition technology every day when they unlock their smart phones. And technologies such as facial recognition currently used at the San Francisco airport and ports are not impacted because they are under federal jurisdiction. Furthermore, the San Francisco police department does not currently use facial recognition anyway, although it has been deployed in places such as Las Vegas, Orlando, Boston and New York City. Safeguarding privacy of citizens The ordinance appears to have a goal of avoiding government uses of technologies that can invade individual privacy, seeking to avoid worst-case scenarios such as an existing system in China that uses millions of surveillance cameras to keep close tabs on the Uyghurs, a Muslim minority population. Any new plans to use surveillance technology must be approved by the city government, and any existing uses must be reported and justified by submitting a Surveillance Technology Policy ordinance for approval by the Board of Supervisors within 180 days. Surveillance technology policy Banning use of facial recognition just when its capability is being realised is counterproductive But might such a ban on technology uses undermine their potential value as crime-fighting tools just when they are poised to become more valuable than ever? Ed Davis, a former Boston police commissioner, told the New York Times it is “premature to be banning things.” He notes: “This technology is still developing, and as it improves, this could be the answer to a lot of problems we have about securing our communities.” Technology development doesn’t happen in a vacuum and banning uses of facial recognition and other technologies just when their capabilities are being realised is counterproductive. We should be thoughtful, deliberate and transparent in how we embrace new technologies. However, discarding them out-of-hand using emotionally charged words such as “secret surveillance” does not promote the best use of technology to the benefit of everyone.
Genetec Inc., globally renowned technology provider of unified security, public safety, operations, and business intelligence has announced that the city of New Orleans (NOLA) is relying on Security Center, the company’s unified IP security platform, to improve public safety and enhance city-wide collaboration. With about 400,000 residents, New Orleans (NOLA) is the most populous city in the State of Louisiana. Like other big cities, NOLA is focused on enhancing public safety for its citizens and the 1.2 million visitors who flock to the city’s French Quarter for Mardi Gras celebrations. Using Security Center, the NOHSEP agency has saved police officers about 2000 hrs of investigative work in just a year Genetec Security Center As part of a Citywide Public Safety Improvement Plan that included the deployment of a new citywide public safety system and the construction of a Real-Time Crime Center (RTCC), the New Orleans Homeland Security and Emergency Preparedness (NOHSEP) chose the Genetec Security Center unified platform to support all city agencies. Using Security Center, the NOHSEP agency has saved police officers about 2000 hours of on-foot investigative work in just one year. “It might take a police officer over an hour to visit business locations, speak with owners, look through video, find what they are looking for, get a copy of video onto USB keys, drive back to the precinct, and then submit that into evidence." said George Barlow Brown, IT Manager at the New Orleans Real Time Crime Center. Video and ALPR cameras He adds, “So, we have essentially saved the department over 2000 hours of manual labor in physically collecting and storing video evidence. That’s more time for officers to respond to calls of service and be present in our many neighborhoods, which helps build community confidence. The ROI is there for us in terms of the efficiency,” The team can now easily retrieve evidence from over 325 city-owned video cameras and 100 automatic license plate recognition (ALPR) cameras (60 of which are Security Center AutoVu cameras) from the Real-Time Crime Center. The new security platform is integrated with other public safety solutions such as a Briefcam analytics system and a computer-assisted dispatch (CAD) system. All this information gets routed through to a central command center, speeding up emergency response. Share video access with RTCC “Our operators do the full investigative work right from within Security Center. It’s just one of the most intuitive solutions that I have ever seen. We can display up to six video tiles and hit ‘synchronise video’ to see various angles of the same scene playing at the same time. We can then select the segment of video we need and hit export. Each 10-minute segment from all the video tiles is then archived for viewing later on,” said Brown. NOLA is also leveraging Security Center to foster a true public-private partnership. The city launched a platinum version of the SafeCam project, which allows businesses to share access to external video cameras with the RTCC. Motion-detection alarms Using the Genetec Federation feature, the NOHSEP team can access video from participating companies’ systems Using the Genetec Federation feature, the NOHSEP team can access video from participating companies’ systems. Participating businesses can be identified by discrete signage at their front entrances. This tells on-the-ground officers that this business has shared their outdoor cameras with the RTCC, and there is no reason to disturb the establishment or their customers. The officer can simply call RTCC operators to get the evidence they need. Brown and his team also have motion-detection alarms set up on cameras facing some known illegal dumping sites. As soon as someone dumps refuge in these locations, the team can proactively notify the Sanitation Department so they can collect the debris. Mining video and data NOLA is making the most of its security investments to improve city life too. For one, the RTCC operates a backup emergency operations center for the city of New Orleans. The NOHSEP team has also shared video feeds with other city departments such as the Sewage and Water Board, so they can determine the rate at which an intersection floods. As plans continue to evolve, the RTCC team is taking full advantage of the new technology to keep NOLA safer. “As far as investigations and the ability to mine video and data, Security Center is hands-down the best product out there. With this platform, we’re extending greater efficiency to responding officers, and we’re also forging stronger partnerships with our community. Together, we’re all working smarter and faster to keep New Orleans safe,” concluded Brown.
Abu Dhabi is a major cultural and commercial centre in the United Arab Emirates (UAE), accounting for roughly two-thirds of the UAE’s economy. While oil and natural gas make up a large portion of its GDP, Abu Dhabi has positioned itself as a premiere tourist destination, with major investments in luxury resorts and business hotels. Consequently, public safety is a top priority — and FLIR Systems is playing a critical role in the city’s long-term safe city initiative. Recently, the Abu Dhabi Monitoring and Control Center (ADMCC) was tasked with integrating all public access cameras onto a single platform to provide fully uninterrupted coverage of the city. This is in compliance with the Safe City 2030 vision of His Highness Sheikh Mohammed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and President of the UAE. As part of this initiative, ADMCC launched the Falcon Eye project, where surveillance cameras and sensors would be installed across the city to enable real-time situational awareness, threat detection, data collection, data sharing among public safety organisations, and crime prevention. Updating video management system To manage such an extensive system under the Falcon Eye project, ADMCC needed to update its VMS softwareFalcon Eye expands Abu Dhabi’s existing surveillance system to thousands of license plate recognition cameras and surveillance cameras, with cameras equipped with video analytics and/or facial recognition capabilities. To manage such an extensive system under the Falcon Eye project, ADMCC needed to update its video management system (VMS) software. ADMCC sought a VMS that would provide enhanced image quality, as well as increased storage and integrity of streamed video. The VMS also needed to be able to incorporate current, emerging and future technologies, such as Big Data, cyber protection, smart cameras, analytics at the edge, and automated camera management. Additionally, ADMCC required a cost-effective VMS that would seamlessly integrate with the existing physical security management information (PSIM) without compromising any data or operations from subsystems. Reliable software solution for video surveillance Previously, ADMCC had a strong relationship with FLIR, having deployed an older FLIR United VMS version for several years. After careful research and evaluation, ADMCC chose to continue partnering with FLIR as the industry leader in advanced video solutions in the safe city sector. ADMCC selected the most recent FLIR United VMS release as its VMS for the Falcon Eye initiative. FLIR United VMS is a reliable, enterprise-level software solution for video surveillance supporting an unlimited number of cameras over IP networks. Complying with ONVIF Profile S, Latitude ensures greater compatibility between cameras and the VMS Part of FLIR’s award-winning United VMS platform, Latitude features enhanced cyber security protocols. Its distributed server architecture enables unlimited scalability, multi-site deployments and sophisticated network topologies. Latitude’s open platform functionality provides advanced edge device integration, bringing together hundreds of third-party technologies. Complying with ONVIF Profile S, Latitude ensures greater compatibility between cameras and the VMS. Integrating Latitude and PSIM solution ADMCC upgraded to the recent United VMS version in June 2017. With special support from the FLIR team, the integration of Latitude and ADMCC’s in-house PSIM solution was successfully completed without any data loss. Adding value to the integration was the presence of an in-house FLIR engineer, who provided insight and guidance throughout the process. “FLIR is considered one of ADMCC’s trusted vendors, delivering regular upgrades and specialist support to our operations when needed,” said His Excellency Saeed Al-Neyadi, Director General at ADMCC. “The on-site FLIR engineer provided an immeasurable value to ADMCC.” Ensures maximum integrity and reliability One of the defining characteristics of United VMS is its simplicity and easy user interface. United VMS offers simplified access in managing and controlling video operations for the support staff. For all safe city projects, the preservation and availability of data is paramount. United VMS ensures maximum integrity and reliability with exceptional failover, disaster recovery capabilities" “The use of actionable information through data collection is vital in running such a huge scale operation such as Safe City initiatives,” Mr. Khalfan Al Hassani (ICT Director) said. “United VMS ensures maximum integrity and reliability with exceptional failover, disaster recovery capabilities, and 24/7 redundant recording.” Day/night safety of city and residents ADMCC oversees one of the world’s leading safe city solutions that utilises license plate recognition, facial recognition, video analytics and video management from over 45,000 sensors spread across the Emirate. United VMS serves as the central operational platform for all data of this unified platform, providing an efficient combination of video software and server hardware. By utilising the state-of-the-art technologies and subsystems brought together by United VMS, ADMCC ensures the safety of the city and its residents at all hours of the day and night. “United VMS has given ADMCC a reliable, stable, robust and secure platform for the past six years,” said Al Hassani. “It underpins a custom PSIM solution that supports various government agencies in Abu Dhabi helping the city to be ranked the ‘Safest City in the World.’”
Over 1,600 Wisenet cameras manufactured by Hanwha Techwin have been installed at Asia’s largest mega hub terminal in order to help operators monitor the movement of parcels and vehicles, as well as keep employees and visitors safe. With its nine decades of endless innovation, Korea’s logistics service provider, CJ Logistics, is leaping forward to become a pioneer by expanding its global networks to over 94 locations and entering the Thailand, Malaysia, China and Philippines markets. Video surveillance solution In June 2018, CJ Logistics opened Asia’s largest mega hub terminal in Gonjiam, Gyeonggi-do, South Korea. The terminal, which comprises two buildings with four floors above ground and two underground, occupies approximately 300,000sq metres, almost the size of 40 football stadiums. The total length of the facility’s conveyer belts is almost 43km, long as a full-course marathon The total length of the facility’s conveyer belts is almost 43km, which is as long as a full-course marathon. The terminal also has a state-of-the-art automation system, the first of its kind in Korea, which has increased the company’s daily handling capacity to 1.72 million parcels, four times higher than its competitors. CJ Logistics looked for a top-notch video surveillance solution which could match the terminal’s grand scale and the technically advanced automated facilities. Providing periphery monitoring After testing cameras from different manufacturers in the market, CJ Logistics chose Hanwha Techwin as its supply partner and have subsequently installed around 1,660 Wisenet cameras throughout the terminal. Wisenet X series IR PTZ cameras have been installed along the building exteriors, providing periphery monitoring 24/7 and auto tracking that enables precise monitoring across long distances, while IR illumination provides visibility even at night. Inside the buildings, around 1,400 Hanwha Techwin’s Wisenet Q series cameras were installed on the terminal’s ceilings and walls. The cameras are able to help detect any problems occurring to the automated conveyer systems which have a constant flow of parcels on them. They also oversee the movement of over 1,500 vehicles in and around the terminal and help create a safe working environment. Highly accurate recognition Wisenet X series bullet cameras, running license plate recognition (ANPR) software onboard, have been installed at the main gate of the terminal to enhance security at the entrances and exits, providing highly accurate recognition of license plates. These cameras enable effective vehicle monitoring within the terminal where cargo moves in and out around the clock, and are particularly useful in monitoring the main entrance. Both camera types are equipped with 12x optical zoom and 150dB WDR Wisenet X series bullet and PTZ cameras have been installed at indoor staircases and corridors of the office building. Both camera types are equipped with 12x optical zoom and the World’s best 150dB Wide Dynamic Range (WDR) which ensures clear images are captured from scenes that contain a challenging mix of bright and dark areas, normally causing overexposed or underexposed images. Intelligent video analytics As part of the Wisenet X series, these cameras feature intelligent video analytics and offer movement, loitering and intrusion detection. They are also equipped with audio analysis functionality which recognises critical sounds such as gunshots, explosions, screams and broken glass. “Thanks to the Hanwha Techwin’s Wisenet security solution, we were able to build a safe video surveillance system that can match the size and the cutting edge facilities of Asia’s largest logistics terminal,” said an official at CJ Logistics. “Now we can safeguard every corner of our terminal including vehicles, parcels, and personnel, not to mention indoor and outdoor spaces.”
With its capacity of 32 million tons per year and water frontage of 6 kilometres, Chernomorsk sea port is one of the largest transport terminals in Ukraine, providing trade links with more than 100 countries all over the world. This port is a part of Eurasian transport corridor connecting the Western European countries, Ukraine, Georgia and the Asian countries. Its territory embodies the unique multimodal terminal that serves railway-ferry and auto-ferry lines as well as roll-on/roll-off vessels. The mission was to implement round-the-clock monitoring of the port territory and port waters in order to detect violations and prevent them. Monitoring in challenging light conditions PTZ cameras with integrated Axis Lightfinder technology are used for monitoring Experts from Inlimited suggested fitting the port with thermal technology platforms using 11 Axis network thermal cameras aboard (including models with two sensors: optic and thermal). PTZ cameras with integrated Axis Lightfinder technology are used, among others, for monitoring in challenging light conditions with low object contrast or difficult light sources. Thermal network cameras support guard tour function that can be used for continuous monitoring of a particular area according to the preset guard tour. In the context of modernisation, the existing port security system was extended with the following video surveillance solutions: computer-aided continuous visual monitoring of the water frontage, the adjacent port area and the port waters of Sukhyi Estuary, the area along the port perimeter as well as monitoring of vehicles (license plate recognition) and approaches to the mounting locations of the main cameras. Integrated video surveillance Centralised security service control centre offer video analysis capabilities. Video surveillance solutions integrated into a single software and hardware platform provide high-quality digital video real time record and store the archive for a minimum of 30 days. The integrator considered all the challenging conditions that cameras may encounter at sea and in the maritime area Integrated video surveillance and alarm system modernisation project developed by Inlimited Ltd. for Chernomorsk sea port is of strategic importance for the customer since it is aimed at increasing the reliability of the guard tours and critical infrastructure of the port and its entire water area. When developing the architectural concept, the integrator considered all the challenging conditions that cameras may encounter at sea and in the maritime area, such as hurricane hazards, lightning strikes, salt air impact, as well as restricted visibility due to fog, heavy rain, snowfall and direct sunlight. Installation of PTZ network cameras Thermal platforms with Axis PTZ network cameras installed on the top became the ultimate solution for the port. Optical and thermal sensors combined into one system is the specific feature of bispectral modules. With this capability, such a device can substitute a significant number of conventional optical cameras and partially the security alarm system. Hence, the extensive territory of the port was covered by turntables with a total of 11 Axis network cameras: bispectral, optical and outdoor. Due to the intelligent capabilities of Axis network cameras, a real-time detection signal is automatically transferred to operator screen, immediately providing a very clear image of an object and ensuring reliable detection under any visibility and weather conditions. Moreover, the system can also detect suspicious objects even before an intrusion attempt. Recognising person, car or watercraft We chose to go with Axis cameras because they are flexible and yet can be customised to solve particular problems"Automatic systems facilitate the work of security service operators displaying only actual violations, which helps to minimise the percentage of false responses. With this intelligent system, it is possible to immediately recognise a person, car or small-sized watercraft as well as detect possible smoke spread and other abnormal situations. Thus, the security staff has extra time to provide quick response. The video surveillance and alarm system of Chernomorsk sea port is integrated with IP-video control system Milestone Xprotect and vehicle license plate recognition system VIT AutoCode. “We chose to go with Axis cameras because they are flexible and yet can be customised to solve particular problems. Axis network cameras gained an excellent reputation as a part of the video surveillance system currently operating at the port and for this reason, we selected them again for additional security platforms,” noted the Chernomorsk sea port security service.
A multi-division and multi-location conglomerate in Kutch (Gujarat, India), engaged in manufacturing, trading, exporting and supplying a finest assortment of Roofing Accessories Roofing Sheets, Metal Coils, Roofing Accessories, Metal Roofing Sheets, Coated Roofing Sheets and Tiled Sheets for Roofing has trusted Matrix with providing top grade security solutions for its site. Matrix IR bullet cameras and VMS VMS Software with Inbuilt Weighbridge Application Module: SATATYA SAMAS PLT IPC Channel Wise ANPR/LPR License (ANPR1) Cameras installed at the site: 2 MP Varifocal IR Bullet Camera with 2.8-12 mm Lens- SATATYA CIBR20VL12CWS 2 MP Fixed Lens IR Bullet Camera with 3.6 mm Lens- SATATYA CIBR20FL36CWS The company was using conventional Weighbridge system that performed basic functionalities. This traditional system had certain limitations, such as Data spoofing due to manual system Lack of centralised solution for multiple branches Dependency on more than one system Lack of evidence for auditing purpose Matrix Weighbridge integration solution Looking at all the challenges that the company was facing, Matrix offered an optimised solution with Weighbridge Integration. Matrix Weighbridge Integration solution provides the following functionalities: Vehicle Number Snapshot (ANPR) Driver Snapshot (Evidence) Material Snapshot (Auditing) Weighbridge Snapshot (Avoid Data Spoofing) Safeguard Evidence Bookmark Video Recordings Print Evidence Record Periodic Report Generation Benefits Client will be able to track in-bound and out-bound material movement by capturing the details of respective material weight. Enables the client to make easy comparison of weights between supplying plant and receiving plant with the help of captured screenshots. Record weight of the material and then use the data to post good’s receipts, production bookings and dispatch documents, etc. Limits Weighbridge Vendor dependency by providing interoperability without depending much on other APIs.
Maintaining an educational environment that is conducive to learning requires, at a minimum, that we keep our school children safe and secure. It’s easier said than done, given the wide range of sizes and types of educational institutions. Campus Security High-profile violence in educational environments highlight the urgency of the need for security and safety systems High-profile violence in educational environments highlight the urgency of the need for security and safety systems, and the challenges extend beyond preventing the active shooter incidents that grab headlines. In the United States, 79% of public schools recorded that one or more incidents of violence, theft, or other crimes had taken place, amounting to 1.4 million crimes. That translates to a rate of 29 crimes per 1,000 students. Security is a 24-hour challenge. Protecting schools involves deployment of a range of security and physical hardening tools. Reducing risk requires that access to school buildings be controlled, while also preserving an ‘open’ campus atmosphere that promotes a learning environment. Schools should be an inviting place for students and families, so technology solutions aimed at restricting access should be low-profile and unobtrusive. School security must also be designed in layers, or concentric circles of protection, starting at the school’s perimeter and working inward to secure individual classrooms and other internal areas. Enhancing video security at schools Video surveillance is a technology that is unobtrusive and can promote security beginning at the outermost boundaries of the school environment – at the perimeter and as automobiles drive onto school grounds. Surveillance can keep a silent and constant watch on people comes and goes. Furthermore, incorporating new artificial intelligence (AI) and deep learning technologies are increasing the real-time capabilities of video surveillance to provide early warning of a possible security threat as it enters a campus. AI and deep learning analyse the content of video feeds and provide usable information to security personnel, including analysis of trends and real-time alarms when an event takes place. Incorporating AI into video security Video feeds are analysed in real-time and alarms can be raised only if there is a problem In addition to controlling perimeter access, video surveillance incorporating AI can also provide other benefits, such as keeping watch on a school campus after hours – before and after school, or even on weekends when extra-curricular activities may be taking place. The systems can monitor traffic flow and ensure that only authorised vehicles enter an area. The benefits of AI-driven video systems also enable greater effectiveness of systems that are not being actively monitored. Video feeds are analysed in real-time and alarms can be raised only if there is a problem. Whenever a vehicle passes into a restricted area on a school’s campus, the video system captures a vehicle image and automatically provides significant data. ANPR systems Automated number plate recognition (ANPR) systems identify the license numbers of cars that enter a school’s parking entrance or gate and can match the numbers to a watch list and provide an alarm. The technology could also be used to monitor compliance with restricted areas; for example, to only allow vehicles that registered for a parking pass to park in a certain lot. A more advanced approach could involve dual identification technologies – vehicle plate and facial recognition of a driver – to add another layer of security. Video systems with illegal parking detection can define a zone for no parking at a school. If any vehicle enters the area, the camera will be triggered to collect evidence. Images are captured of illegally parked vehicles, and the system provides data about when and where it occurred, the vehicle plate number and the parking violation. Traffic cameras with DL technology Traffic cameras with deep learning technology can also identify and classify vehicles Traffic cameras with deep learning technology can also identify and classify vehicles; in effect, to distinguish between small and large vehicles and even detect a vehicle’s make, model and colour. For instance, it is possible to differentiate between cars and buses in ‘buses only’ areas. Currently such cameras are more commonly deployed on public streets and highways, but the capability is there. The system can also capture images and produce alarm data if a vehicle is driven in the wrong direction, such as into an exit-only lane or the wrong way on a roadway. Facial recognition systems Facial recognition can be used at school entrances and gates to promote security of students and staff and to identify known suspects who attempt to enter the building. ‘Blacklist alarm’ technology generates a notification if a known suspect enters. Clarity is paramount when identifying faces, and cameras that provide wide dynamic range (WDR) can offset challenges such as backlighting on a bright day when the light behind a person coming in is brighter than the ambient light inside. People counting cameras Facial recognition systems can also be used inside school buildings. A facial recognition terminal installed at the entrance of a campus building or library can be configured to ensure that only registered students and staff have access to the buildings. People counting cameras can be used in cafeterias and libraries to provide daily or monthly traffic reports and to better understand peak times and arrange workflow accordingly. Unified security solution Tedious and error-prone manual monitoring can now be replaced by more intelligent systems Feeds from all the cameras can be managed, monitored and stored in an authorised security centre, either located on a campus or in a central location that combines camera feeds from multiple campuses in a school district, for example. In general, security staff can access surveillance data in a variety of ways, via a desktop, laptop, or mobile device. Such flexibility makes the job of security personnel easier. A campus police or resource officer can view video on a mobile device while patrolling the campus. Often video surveillance systems at schools are not monitored. School security personnel have more pressing duties than sitting in front of a video monitor, and it is difficult for operators to stay alert for detailed incidents that may be shown on the screen. Tedious and error-prone manual monitoring can now be replaced by more intelligent systems that provide alarms only when there is something to see. Maximising school surveillance capabilities Systems to maximise school surveillance and security include dedicated, high-performance cameras for event capture, embedded network video recorder for event recording and storage, and a centralised video management platform to unify the system. AI and deep learning technologies automate security processes and provide useful real-time information that extends beyond video images. Deploying these technologies at the perimeter can promote better security campus-wide by preventing danger from entering the learning environment.
Round table discussion
Artificial intelligence is on the verge of changing the face of multiple industries – from healthcare to entertainment to finance, from data security to manufacturing to the cars we drive (or that will drive themselves!) In the physical security market, AI has garnered a lot of attention as a buzzword and as a harbinger of things to come. We asked this week's Expert Panel Roundtable: What security markets are most likely to embrace artificial intelligence (AI)?
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?
ISC West 2019 is in the industry’s rear-view mirror, and what a show it was! The busy three days in April offered a preview of exciting technologies and industry trends for the coming year. We asked this week’s Expert Panel Roundtable: What was the big news at ISC West 2019?