License plate capture
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 pa...
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 A...
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 peopl...
Dahua Technology, a video-centric smart IoT solution provider, has announced the addition of targeted vertical market solutions in the North American market. Vehicle inspection is one area where contemporary technology is rising to address a critical need. Preventing restricted items from entering high-security environments has traditionally been limited to the use of mirrors and police dogs, where blind spots and human error put detection at risk. In order to combat this problem, Dahua Technol...
Booth number: 26061 Genetec Inc. is a technology company with a broad solutions portfolio that encompasses security, intelligence, and operations. The company’s flagship product, Security Center, is an open-architecture platform that unifies IP-based video surveillance, access control, automatic license plate recognition, communications, and analytics. Genetec also develops cloud-based solutions and services designed to improve security and contribute new levels of operational intelligenc...
Videonetics has announced the Industry’s first Artificial Intelligence & Deep Learning powered ‘No Seat Belt Detection’ technology, which aims to detect in real-time those drivers who are not wearing seat belt while driving four-wheeler, consequently violating traffic laws and putting their lives to risk. ‘No Seat Belt Detection’ technology According to World Health Organisation (WHO), about 1.3 million people die in road crashes and 20 - 50 million are injure...
Genetec Inc., global technology provider of unified security, public safety, operations, and business intelligence has announced a new version of Security Center, the company’s open-architecture platform that unifies video surveillance, access control, automatic license plate recognition (ALPR), communications, and analytics. With customisable live dashboards, enhanced privacy protection features, a brand-new map-driven mobile app, and new functionalities that help users actively monitor the health of their system and ensure compliance with cybersecurity best practices, version 5.8 will ensure that users can optimise their physical security environment while benefiting from greater visibility into their operations. Security Center 5.8 Customisable live dashboard: Security Center 5.8 will enable users to create custom dashboards that will display real-time data, such as video feeds, alarms, reports and charts in a way that is meaningful to them and their specific job function (security, operations, IT etc.). Users can set up their dashboards using simple point-and-click tools, and instantly combine data from the entire Genetec portfolio (video, access control, ALPR, etc.) in one screen to gain a new perspective on the evolution of events and key metrics across their operations. Security Center 5.8 will introduce a brand-new collaborative mobile app to provide operators complete access to their Security Center system Mobile app: Security Center 5.8 will introduce a brand-new collaborative mobile app to provide operators complete access to their Security Center system when they are on the move and allow them to turn their smartphone into a valuable contributing sensor to their security system. In addition to recording incidents, accessing nearby video, access control, and ALPR devices as well as sharing video from their phones to Security Center, the new mobile app will let operators share their location with colleagues in the operations center, send in-app messages and share live and recorded video through an intuitive map-oriented interface. Key features will include: • Video (live and recorded playback, PTZ controls, bookmarking, time- and event-based reports) • Access control (check door status, lock/unlock doors, override schedule, set maintenance mode etc.); • ALPR (live reads/hits, plate reports, and access hotlists); • Interactive maps that increase local awareness and put critical information much closer to the operators, enabling them to easily visualise their environment and respond quickly. • Built-in messaging allows for instantaneous sharing of information between operators and personnel in the field. This extends to sharing live or recorded video clips, text messages and other security information. System resilience and cybersecurity Security Center 5.8 will introduce a new Security Score feature to track each system’s compliance with hardening guidelines, firmware availability and other dimensions of cybersecurity System administrators are acutely aware of the critical nature of security systems, but often lack the tools to assess the potential exposure of their software, operating systems and physical security devices. Security Center 5.8 will introduce a new Security Score feature to track each system’s compliance with hardening guidelines, firmware availability and updates, password strength, as well as several other dimensions of cybersecurity. Available through the built-in System Health dashboard, the Security Score will measure individual cybersecurity processes and verify that they are followed by the system. This will enable users to get a better understanding of the cyber security risks they face and enable them to take the necessary steps to harden their system. KiwiVision Camera Integrity Monitor With the new KiwiVision Camera Integrity Monitor feature, the system will also automatically detect potential camera position changes, loss of image quality or tampering, and alert administrators immediately. This allows them to get ahead of problems and take the necessary corrective action immediately, rather than wait to find out there is a problem when they need footage and it is not available. Privacy: The new version of Security Center will also feature enhanced privacy protection layers to help customers comply with global privacy regulations such as GDPR, and the California Consumer Privacy Act. Building on the patented dynamic blurring and encryption technology in KiwiVision Privacy Protector, which is now included at no cost for all Genetec Advantage customers, Security Center will help users define and control who has access to sensitive data and footage, without slowing down investigations and incident response. Users will be able to define strict access procedures such as the Four Eyes Principle, which will ensure that organisations don’t have to choose between protecting the privacy of individuals and their physical security. Security Center version 5.8 is expected to be available in Q2 2019.
The announcement that Wavestore’s open platform Video Management Software (VMS) has been successfully integrated with Raytec’s lighting solutions means that operators are now able to match the security requirements for individual locations throughout a site, with a wide range of lighting options which are managed directly from Wavestore’s front-end ‘one screen, total control’ display. Automated lighting solution Raytec and Wavestore’s technical teams have worked closely together to develop an intelligent lighting solution which can be controlled via Wavestore’s VM Raytec and Wavestore’s technical teams have worked closely together to develop an intelligent lighting solution which can be controlled via Wavestore’s VMS by simply clicking on fully customisable buttons. The solution also enables the ideal lighting for each situation to be automatically selected when a moving object is detected or by metadata triggered events from other systems and software, such as access control, ANPR, alarm sensors, cameras, face recognition and other forms of video analytics. “There are so many different reasons why our end-user clients may need supplementary lighting and this smart solution provides them with the flexibility to choose from a long list of options which exactly meets their requirements,” said Enrico Bizzaro, Head of Integrations for Wavestore. Licence plate reader and video surveillance system “Our clients tell us that minimising energy costs and light pollution is important to them and so this integrated solution has been designed to ensure lights are only turned on when needed. This could be, for example, at an access control reader location in order to visually verify the identity of a card holder or to enhance the ability to read the number plate of a vehicle entering a site. Lighting is also quite often used to add to the deterrent factor of a video surveillance system and in this respect, operators can choose different options such as SOS, Hi-Lo and Wave light effects.” The benefits offered by the deep level of integration between the two technologies are available as standard across Wavestore Premium, Enterprise and Ultimate channel license levels. Wavestore VMS supports Hybrid LED illuminators Wavestore was the first VMS to support Raytec’s Hybrid LED illuminators which brings the benefits of White light and IR technology into a single unit. With less cabling required, the 2-in-1 solution reduces installation costs as well as negating the capital cost of deploying two separate lighting units. Wavestore enables the Hybrid LED illuminators to be controlled individually or as a group with all commands, such as scheduled on/off timings and brightness, securely authenticated by Wavestore to prevent unauthorised access to the illuminators over the network.
ISS – Intelligent Security Systems, global provider of intelligent VMS and native analytics globally, has been awarded a coveted Security System Approval Certificate from Dubai’s Security Industry Regulatory Agency (SIRA) for the company’s innovative SecurOSä Video Management System (VMS), SecurOS Auto License Plate Recognition (LPR/ANPR) analytics and unique SecurOS Motus 452 Camera for use in law enforcement applications. The combined VMS, analytics and camera solution delivers a number of unique advantages including the ability to accurately read and recognise Arabic symbols and numbers, making it uniquely suited for Dubai license plates. “We are extremely thrilled that ISS has been selected to provide advanced VMS management and LPR/ANPR analytics technology to Dubai law enforcement agencies,” said Aluisio Figueiredo, CEO of ISS. “Our patented technologies provide a unique combination of capabilities enabling high-speed image capture and analysis necessary for advanced LPR/ANPR applications in virtually any country across the globe.” SecurOS Auto LPR/ANPR SecurOS Auto LPR/ANPR provides unprecedented advantages, including the ability to accurately capture license plate information at 155 mph (250 km/h) in all weather conditions SecurOS Auto LPR/ANPR provides a number of unprecedented advantages, including the ability to accurately capture license plate information at 155 mph (250 km/h) in all weather conditions, including fog, rain, and snow. The advanced natively developed SecurOS Auto analytics employs advanced deep learning and template-based algorithms to provide pinpoint accuracy capable of distinguishing letters from numbers, so that, for example, an “8” is not mistaken for a “B”. This provides a crucial advantage, particularly in situations when the system needs to capture and analyse information in milliseconds. SecurOS Auto offers both low and high-speed options and supports multi-lanes with one camera providing a high degree of cost-efficiency. In addition to being seamlessly compatible with ISS’ SecurOS VMS, SecurOS Auto analytics integrates with third-party parking management or smart roadway software, as well as legacy security equipment and external databases. SecurOS VMS and Auto analytics solution The SecurOS VMS and SecurOS Auto analytics solution approved for use in Dubai also includes ISS’ SecurOS Motus 452 IP camera, which was specifically developed for highly detailed LPR/ANPR image capture in both day and night modes under challenging weather conditions. Additional features include a built-in illuminator, remote calibration, ANPR precision, IP67 rating, and 30fps image capture backed by a two-year warranty. Intelligent Security Systems will be displaying their SecurOS Motus 452 IP camera and VMS solutions at Intersec in Dubai from January 20-22 at stand SA-D10.
Videonetics has announced the World’s first AI & Deep Learning based ‘Detection of Use of Cellphone While Driving’, an ultra-smart video-based technology aims to detect in real-time those drivers using cellphones while driving four-wheeler, consequently violating traffic laws and putting their lives to risk. According to World Health Organisation (WHO), road crashes kills 1.25 million people and permanently disable another 50 million every year. At present, India accounts for highest number of road deaths in the world. Amongst various, distracted driving behavior, mobile phone usage has been identified as a primary source of driver distraction as it can induce drivers to take their attention off the road, thus making vehicle occupants more vulnerable to road crashes. AI technology to detect driving violations Powered by patented AI & Deep Learning framework, Detection of Use of Cellphone While Driving technology is trained with real-time video data of over five years Powered by patented AI & Deep Learning framework, Detection of Use of Cellphone While Driving technology is trained with real-time video data of over five years, thereby ensuring highest level of precision in identifying the most dangerous driving risks even in tough environmental conditions, including night time. The cutting-edge solution is well-competent to analyse gesture movement of the driver who is driving any type of four-wheelers including private car, taxi, jeep, lorry truck so on. After capturing the license plate of the violating vehicle with ANPR, the system generates an alert with the video evidence. Additionally, events will be stored for later analysis. Detection of Use of Cellphone while Driving can seamlessly integrate with Integrated e-Challan Management Software to generate challans/e-tickets with details such as violation image, time stamp, date and vehicle number etc. Videonetics Intelligent Traffic Management System The enormous potential of the solution empowers Videonetics Intelligent Traffic Management System (ITMS) suite to enhance real-time traffic monitoring, identify & process traffic offences, eventually it further modernising the traffic management solution and establishing traffic regulation and enforcement across the city. Expressing on the launch, Dr. Tinku Acharya, Fellow IEEE, Founder & MD of Videonetics said, “This is indeed a proud moment to launch World’s first AI & DL based Detection of Use of Cellphone while Driving Solution Technology, that promises to inculcate traffic discipline amongst citizens, increase road safety, build traffic management more robust, curb road accidents, eventually to make country smarter and safe.” Our R&D team is continuously innovating state-of-the-art technologies for challenging environment" “Our R&D team is continuously innovating state-of-the-art technologies for challenging environment with indigenously developed Intellectual Properties. Our intellectual property and trailblasing initiatives have won us several accolades, patents and recognitions from renowned platforms” he further added. ANPR and RLVD traffic violation detection systems With this latest addition, Videonetics expands ITMS portfolio that encompasses Automated Number Plate Recognition (ANPR) system, Red Light Violation Detection (RLVD) system, No Helmet Detection, Triple Riding Detection, Free Left Turn Block Detection, Over Speed Detection, Traffic Congestion Detection, Wrong Parking Detection, No Parking Detection, Smart Dashboard, Data Visualisation to name a few. ITMS is successfully deployed at many cities such as Kolkata, Ranchi, Indore, Bhopal, Bangalore & many more; that has achieved benchmark in replacing tedious manual processes to track, regulate and analyse vehicle movement on roads, and to enforce traffic rules for safety of citizens towards success of national Smart City mission.
Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification and object recognition technologies, has announced the release of the SentiVeillance 7.0 software development kit (SDK) and the end-user oriented SentiVeillance Server solution. With SentiVeillance SDK, developers can create identification solutions that use live video streams from digital surveillance cameras. The latest version adds multiple enhancements to the biometric face recognition algorithms and two completely new analytical features: vehicle-human detection and classification and automatic license plate recognition (ALPR) modalities. All modes are designed to function without requiring any particular effort by users to be recognised or detected, making SentiVeillance well-suited for law enforcement, security, access control, statistics counting, traffic monitoring and other commercial applications. With SentiVeillance SDK, developers can create identification solutions that use live video streams from digital surveillance cameras "This release brings a wealth of new features,” said Vytautas Pranckenas, SentiVeillance product lead for Neurotechnology. “Most of the new additions come by way of listening to our customers and developing what best suits their needs. We are very grateful for their continuous feedback and support." The enhanced SentiVeillance modes, developed to function in live, real-time solutions via deep neural network algorithms, provide a high degree of recognition and detection accuracy. SentiVeillance’s biometric facial identification Biometric facial recognition - The high reliability of SentiVeillance’s biometric facial identification algorithm allows it to be used with large watch-list databases (both identifying a person who is on a list and adding new faces from video streams to watch-lists). It tracks identified faces as they move around the camera’s field of view and continues tracking even if a person moves behind an object and re-appears. It is effective both close-in and at a distance when using high-resolution cameras. It can perform gender classification, evaluate a person’s age, identify facial expressions (e.g. smile, open mouth, closed eyes) and detect particular attributes, such as if the person is wearing glasses or sunglasses and whether they have a beard or mustache. Vehicle-human detection and movement tracking (VH) - SentiVeillance detects both moving and static vehicles or people in a scene and performs object classification and tracking until the subjects disappear. In addition to pedestrian detection and vehicle classification by type, the algorithm also returns an estimation of paint color (vehicles) or predominate clothing color (pedestrians) and determines the vector in which they are moving (e.g. north, south, southwest). Automatic license plate recognition (ALPR)The new ALPR capability in SentiVeillance automatically detects and reads vehicle license plates - The new ALPR capability in SentiVeillance automatically detects and reads vehicle license plates, recording the information from both stationary and moving vehicles within the scene. The latter two modes (VH and ALPR) can be used together to create larger, more varied solutions. As an example, when conventional ALPR is used for road tolls, automatic car washes or paid parking systems, users might try to avoid paying by altering or exchanging license plates. Stolen vehicles might also have their license plates changed. When using multiple analytics in concert the resulting solution could match and verify plate numbers with other characteristics of the vehicle, such as type and color, through queries of previously stored values or vehicle registration databases. SentiVeillance SDK and Server video analytics SentiVeillance is designed to run on multi-core processors for fast performance and can process video data from multiple cameras simultaneously using a common PC (current generation i7 CPU with 4 or more cores) with a graphics processing unit (GPU). It can be used with large surveillance systems, incorporating many cameras and data-processing nodes. Developers have many and varied options in the creation of scalable, cost-effective solutions for their customers. SentiVeillance Server - Neurotechnology now provides customers with the option of a ready-to-use, end user-oriented analytics server. The new SentiVeillance Server provides a solution with all the key features already in place, by-passing the need for extensive development where it is not essential or required. SentiVeillance Server is available for use with existing Milestone and Luxriot Evo video management systems (VMS). The new SentiVeillance products may be purchased from Neurotechnology or through distributors worldwide. A free 30-day trial is available and, as with all Neurotechnology products, the latest version is a free upgrade for existing customers.
Milestone Systems, globally-renowned open platform company in networked VMS, released its Device Pack 10.0a in October this year and now supports the MOBOTIX MOVE camera series. MOBOTIX MOVE is an independent product line providing customers everything from a single source. “MOVE” stands for the use of mechanically moving parts in the cameras, meaning that MOBOTIX have parted with their previous product policy of only offering decentralised video systems on the market. The MOBOTIX MOVE product line is the first motorised devices and first ONVIF-based camera line from MOBOTIX. “We’re glad to be supporting the first ONVIF compliant products introduced by MOBOTIX as we believe this will enable us a faster release to market going forward,” said VP (Products), Jesper Just Jensen, Milestone Systems. Device Pack 10.0a With the Device Pack 10.0a, Milestone Systems also supports new firmware for MOBOTIX’ Mx6 camera series With the Device Pack 10.0a, Milestone Systems also supports new firmware for MOBOTIX’ Mx6 camera series. Mx6 cameras use a powerful CPU that delivers up to 34 frames per second in full HD. This allows for even better capture of quick movements. The camera line has more capacity for software applications such as 3D motion analysis and license plate capture in the camera. "Thanks to our market opening strategy, Milestone Systems is today one of the largest technology partners of MOBOTIX AG. Due to the growing global demand for our cyber-secure premium cameras, we are very pleased to announce the release of the Device Pack 10.0a, which now enables the integration of the entire MOBOTIX camera world into the Milestone VMS: our Mx6 IoT series as well as the latest MOVE cameras,” says Philipp Helmes, MOBOTIX Product Manager for Integration Solutions. IP-based physical security solutions Milestone Systems now supports more than 7,000 devices, and 40% of Milestone Systems’ drivers are now integrated through ONVIF, an open industry forum that provides and promotes standardised inter-faces for effective interoperability of IP-based physical security products.
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.
The field of artificial intelligence known as machine learning or cognitive computing has in recent years become highly popular The field of artificial intelligence known as machine learning or cognitive computing has in recent years become highly popular. The meteoric rise of “deep learning” technology over the past several years has been truly dramatic in many industries. Industry giants from Google, Microsoft, Facebook, IBM and many others have been pouring massive amounts of investments in this field of artificial intelligence. The machine learning field has exploded on the scene with the breakthrough in the new “deep learning” technology. Developments in deep learning have ramifications for the physical security industry, too. In video analytics, for example, deep learning has shown promise to improve some difficult problems, although more work is needed. This article will cover the evolving field of deep learning and its potential impact on the security and video surveillance markets. Evolution of deep learning The field of deep learning evolved from “artificial neural nets” from the 1980s. In the early years of this branch of artificial intelligence, the neural nets are modelled after a human’s brain, which consists of over 100 billion neurons. The field of neural networks never really took off in the ‘80s and ‘90s due to many reasons. The key limitations of the earlier systems are the difficultly to train the network; and the hardware CPU technologies were too slow to properly train a neural net that can solve meaningful real-world applications. Over the past several years, real world applications of deep learning now encompass many industries including handwriting recognitionand language translation The 1980s and 1990s were the dark days of neural network research. Since 2000, the research community of neural nets has really started to garner industry labs’ attention from the breakthroughs in deep learning work in academia at the University of Toronto, NYU, Stanford and others. Over the past several years, real world applications of deep learning now encompass many industries including handwriting recognition, language translation, automatic game (chess/Go) playing, object classification, face recognition, medical image analysis, autonomous driving cars and many other fields. One example of the excitement with deep learning technology is the recent breakthrough from Google’s AlphaGo, a computer program that for the first time beat a professional human Go player in October, 2015. The sophistication of the Deep learning based program has astonished many in the field of artificial intelligence due the complexity of the ancient Asia GO game, which is considerably more complicated than chess. Video surveillance applications for deep learning Although deep learning has been applied to many industries with breakthrough results compared to legacy systems, not all applications are suitable for deep learning. In the field of video surveillance, several applications stand out that can benefit from deep learning. Face recognition. Deep learning technology has significantly improved the accuracy rate of face recognition. The National Institute of Standards and Technology (NIST) has conducted Face Recognition Vendor Test (FRVT) test over the past decade. The improvements over the last 20 years of face recognition error rates have decreased by three orders of magnitude, according to an NIST Interagency Report. Most of today’s top-performing commercial face recognition products are based on deep learning. The accuracy has reached 99.9% for controlled environments like airport immigration face recognition applications, according to research by Facebook and Tel Aviv University. Person and object detection. Person detection and object detection is another area where deep learning has shown tremendous progress. For example, over the past five years, the IMAGENET database has organised the “large scale visual recognition challenge,” in which image software algorithms are challenged to detect, classify and localise a database of over 150,000 photographs collected from Flickr and other search engines. The dataset is labelled into 1,000 object categories. Many deep learning systems are trained with over 1.2 million images from the IMAGENET dataset running on GPU based hardware accelerators. The improvements in accuracy range from 72% to over 90% from 2010 thru 2014. In 2015, all IMAGENET contestants used deep learning techniques. In the field of video surveillance, several applications stand out that can benefit from deep learning Deep learning-based video surveillance solutions A key advantage of deep learning-based algorithms over legacy computer vision algorithms is that deep learning system can be continuously trained and improved with better and more datasets. Many applications have shown that deep learning systems can “learn” to achieve 99.9% accuracy for certain tasks, in contrast to rigid computer algorithms where it is very difficult to improve a system past 95% accuracy. Deep learning has the true potential of significantly reducing false-positive detection events that plague many security video analytics systems The second advantage with deep learning system is the “abnormal” event detection. Deep learning systems have shown remarkable ability to detect undefined or unexpected events. This feature has the true potential of significantly reducing false-positive detection events that plague many security video analytics systems. In fact, the inability to reduce false-positive detection rate is the key problem in video surveillance industry; and has to-date prevented the wide scale acceptance of many vendor’s intelligent video analytics solutions. Open issues with deep learning technology for video Deep learning in its infancy has shown a lot of promise in improving some hard, and difficult video analytics problems. Much more work needs to be done to fine-tune the generic deep learning system to learn and detect domain specific events that are unique to security-oriented environments. The second challenge is that the engineering talent for deep learning is in extreme short supply. Most graduates today come from the top universities and upon graduation are immediately snapped up by Internet giants like Google, Facebook, Amazon, Microsoft, etc. The competition for trained machine learning engineers is intense. The third challenge is that not all video analytics algorithms are best applied with deep learning. There are many legacy computer vision algorithms that have been developed over decades that are very well suited and deployed in commercially successful products. For example, license plate recognition performs very well with computer-vision based algorithms. Industry needs to do more research in hybrid systems the combine the best of computer vision algorithms and deep learning. What’s next? Similar to cloud computing and big data technologies, deep learning technology is now emerging as the third wave of rapid advances that have taken over the information industry by storm. Over the next decade, very few areas in the technology sector will not be touched by the advances of cloud, big data and machine learning. For the video surveillance industry, this is welcome news. The industry has been lacking in innovations that can significantly advance the state-of-the art.
Camera apps provide flexibility that is unheard-of with traditional server-based processing and analytics solutions The ability to customise IP video surveillance cameras with third-party apps has been a game-changer in system design and implementation. Traditional analytics require streaming all video to a server or external processor for deep interpretation to detect a license plate, face, or other criteria in each video frame. Apps perform image processing within the camera for direct output, turning this model upside down. Added flexibility and savings By allowing end users to customise specific cameras with the specific functionality they need based on location, application and more, camera apps provide flexibility that is unheard-of with traditional server-based processing and analytics solutions. On a system-wide scale, the potential savings can be tremendous. Embedded software functionality within cameras using an app delivers the freedom to deploy the combination of functionality and performance users need to meet their specific requirements, a level of flexibility and customisation that is unheard of with server-based solutions. Among the many additional benefits apps offer over traditional processing solutions are: Increased ROI The ability to embed software functionality into individualcameras using an app eliminatesthe need for centralised softwareand servers to greatly reduceoverall costs The ability to embed software functionality into individual cameras using an app eliminates the need for centralised software and servers to greatly reduce overall costs. With apps installed directly on the camera, customers can continue to use their existing camera hardware, which not only saves on up-front purchase prices for new hardware but also increases that camera’s ROI. The ability to run multiple apps concurrently translates into even greater camera functionality and further maximises ROI. Additionally, many app developers are agile enough to be able – and willing – to customise features and functions rapidly and cost-effectively. Edge processing By integrating directly with the camera, third-party apps take advantage of the best image performance without affecting camera operations. With full edge processing, the app can communicate directly to the digital signal processing DSP or raw video data prior to encoding. A 100 percent embedded app enables more effective and accurate analytics, with performance levels that are not dictated by server load or specifications. Distributed processing In a hybrid model, analytic functions and operations are distributed between the app installed on the camera and the server. This provides end users with higher performance from distributed analytics while reducing the cost of installing several servers to handle image processing, as well as the cost of server performance. For example, without an app to shoulder some of the processing load, a server might be capable of handling 20 cameras. With an edge app, that same server could handle up to 200. Apps offer the ability to better manage and conserve bandwidth by eliminating the requirement for large amounts of dedicated bandwidth Conserving bandwidth Because image processing and analytics are applied at the edge, apps offer the ability to better manage and conserve bandwidth by eliminating the requirement for large amounts of dedicated bandwidth. Apps remove the bandwidth-intensive need to stream the entire full-resolution video to a server for processing, as well as the need to send duplicate data streams to both the analytics server and the VMS. These solutions also provide additional bandwidth savings resulting from the ability to view low-resolution live video, while analytics are applied to the high-resolution profile simultaneously. As camera counts increase, bandwidth savings scale up as well. Considerations to take into account In order to take advantages of these benefits, there are a number of considerations for integrators and end users when evaluating and choosing third-party camera-based apps, many of which are available for demo to ensure performance and many of the key factors listed below. 1. Compatibility The first consideration is to verify an app’s compatibility with an end user’s desired, or existing cameras. Some apps are designed for specific camera models or form factors. It’s also important to ensure that the right camera is being used for the application (form factor, lens, resolution, IR, etc.) 2. Cybersecurity Network breaches are all too common today, as hackers continually ramp up their efforts to access sensitive data via any networked device possible. Therefore, it is critical to use only approved apps from trusted partners to ensure that malicious code will not be installed on security cameras. Just as important is to carefully consider the permissions an app will need and where and to what the data it generates will flow. In addition, camera apps can eliminate continuous video streams from being sent to an analytics server, thereby reducing an attack vector or source of disclosed data. 3. Additional requirements A good camera app should be flexible and be capable of growing along with an end user’s needs, making this an important factor in the evaluation and selection process. Some apps may still require a back-end server or cloud connection to function properly or grow beyond a standalone camera, so the potential costs associated with these must be factored into the decision-making process. Network breaches are all too common today, as hackers continually ramp up their efforts to access sensitive data via any networked device possible Security and beyond Another tangible benefit that camera apps offer is in their ability to deliver valuable data to previously unrelated systems to help end users fulfil their primary security and surveillance needs and much more. For example, a school may want to capture the license plates of cars entering the pickup/drop-off lane so that in case of an incident, a hotlist plate can be entered for notification. A license plate recognition solution would allow the school to easily search video based on plate number rather than manually sifting through hours of video. However, because this application requires only a single camera, an on-board license plate recognition app makes more financial and operational sense, as a server-based solution would be more expensive and less efficient. Without question, camera-based apps represent a convenient, cost-effective way for end users to make sure their surveillance system meets the needs of their specific applications. Compared to traditional server-based processing models, the combination of flexibility and efficiency allows users to deploy apps to increase functionality when and where it is most needed while delivering potentially tremendous cost savings and increased ROI across the entire enterprise. Save
A rapid string of merger and acquisition (M&A) transactions as 2018 passed into 2019 suggests the physical security industry may be on the verge of a busy year of companies buying other companies. Observers have noted a large amount of investment capital currently available to be invested in security M&A, and plenty of entrepreneurial companies are looking to be acquired. Joe Grillo, CEO of ACRE, previously hinted at upcoming M&A activity for his company by the end of 2018, foreshadowing ACRE’s late-year announcement to acquire access control company Open Options, Addison, Texas.The VaaS cloud-based image capture platform includes fixed and mobile license plate reader cameras driven by machine learning Just days later, in the midst of the holiday season, Qognify announced its plan to acquire On-Net Surveillance Systems Inc. (OnSSI) and sister company SeeTec GmbH. Then came an even larger announcement: Motorola has acquired VaaS International Holdings Inc., a data and image analytics company for $445 million. The VaaS cloud-based image capture and analysis platform includes fixed and mobile license plate reader cameras driven by machine learning and artificial intelligence. Most recently, ADT announced yet another acquisition, Advanced Cabling Systems, a technology integration company in the South, thus continuing consolidation on the integration side of the business. There are likely to be further mergers and acquisitions in the video surveillance supply base in 2019 Continuation of the trend In the case of the Qognify and Motorola deals, Jon Cropley, Principal Analyst, Video Surveillance & Security Services, IHS Global Limited, sees them as the next chapter in an M&A trend going back several years. “I think this is a continuation of what we have been seeing in recent years of video surveillance software vendors being acquired,” he says. In the face of intense price competition, vendors have found it increasingly difficult to compete based on hardware features" “In the face of intense price competition, vendors have found it increasingly difficult to compete based on hardware features and are looking at software to offer unique competitive advantages.” In short, he sees it as a continuation of a trend that previously saw Canon acquiring Milestone Systems and Briefcam, Panasonic acquiring Video Insight and Tyco acquiring Exacq. “There are likely to be further mergers and acquisitions in the video surveillance supply base in 2019,” adds Cropley. “However, a spree of large-scale mergers and acquisitions is not expected.” Memoori, another market research firm, forecasts that the value of acquisitions could actually decline marginally in 2019 in value terms but increase in number. This observation is based on Memoori’s charting of physical security deals over the last 18 years. Jim McHale, Managing Director of Memoori, says there have been four cycles of increase and decline in activity, often exaggerated by billion dollar deals in one year such as the merger of Johnson Controls and Tyco of $165Bn in 2016. Access control when combined with identity management is punching well above its weight, and this trend has continued Access control to open systems Only time will tell whether the new year pattern of M&A activity is a coincidence or a harbinger of a busy M&A year ahead “It may be too early to make judgements on the future based on the last four weeks, but there are some interesting points that can be made when compared with our 2018 analysis,” says McHale. “Access control when combined with identity management is punching well above its weight, and this trend has continued. "Acre has been a major contributor and has completed some 10 acquisitions. In general, the access control business has been slow to move to open systems, and hopefully we can expect this trend toward openness to continue as it will give additional growth to the business.” For more commentary from Memoori, see their report “Major Trends in the Global Access Control Market 2018”. Only time will tell whether the new year pattern of M&A activity is a coincidence or a harbinger of a busy M&A year ahead. While past trends may provide a glimpse of what’s coming, there are always new variables. It’s a sure bet the overall trend toward consolidation will continue but predicting the pace and timing of individual transactions is almost impossible. In any case, it will be interesting to watch how 2019 unfolds on the M&A front, among other factors in a changing industry.
Several of the hot trends in the physical security industry – robots, drones, video analytics – have one thing in common: The need for greater intelligence. More complex physical security systems that incorporate artificial intelligence, deep learning, speech recognition and other sophisticated functions depend on a higher-than-ever level of computing power inside embedded devices at the edge. Graphics processing unit Graphics processing unit (GPU) manufacturer NVIDIA is empowering that next level of computing power with the announcement on March 7th of the new Jetson TX2 – a GPU that is, in effect, an embedded supercomputer, including an advanced 256-core GPU, a 64-bit central processing unit (CPU), a video codec, 8 GB of memory and 32 GB of storage. It is the equivalent of having what was once the computing power of a mainframe computer, providing “inference at the edge” inside devices such as cameras or robots. It can power smarter devices with higher accuracy and faster response times – just in time for the next wave of physical security devices. Avoiding central computation Artificial intelligence (AI) is a very computational-intensive process, and doing that processing at the edge avoids the need to do it centrally, whether in the cloud or in an on-premises computer. In the case of video cameras in particular, there isn’t enough bandwidth to transfer video data across a network infrastructure to be processed. Half the populated world has Internet speeds of less than 8 mbps, which can’t possibly handle the level of data required for new intelligence applications. The new NVIDIA Jetson TX2 can power smarter devices with higher accuracy and faster response times To get the benefit of intelligence requires that computing power be where the massive amount of data is – at the edge. Latency is another advantage of intelligence residing at the edge. Applications increasingly require little to no latency (less than 200 milliseconds), and transferring data to be processed elsewhere takes time. Enhancing privacy of data Edge computing also makes it possible to ensure data is more private, rather than having it reside in a private or public cloud or on premises. NVIDIA’s new Jetson TX2 embedded AI supercomputer offers twice the performance of the previous TX1 (used in the maximum efficiency mode), or twice the energy efficiency (if used in the energy-saving mode, drawing less than 7.5 watts of power). NVIDIA previously doubled performance of the TX1 system using software upgrades. In short, the computing ability and efficiency of embedded systems at the edge are paving the way for physical security devices with intelligence far beyond what the industry now has to work with. “These devices will enable intelligent video analytics that keep our cities smarter and safer,” said Deepu Talla, Vice President and General Manager of the Tegra business at NVIDIA. “These devices will enable intelligent video analytics that keep our cities smarter and safer” AI City project Hikvision is already working with NVIDIA to incorporate artificial intelligence into its AI City project, combining concepts of “smart city” and “safe city.” A Hikvision camera installed in a police car can be used to track objects; identify cars, bikes, and people; encode metadata; watch for parking spaces and license plate numbers; and other functions. Analysis happens on 4K video at 30 frames per second using H.265 encoding as the police car drives down the street. Talla says NVIDIA is working with other manufacturers of cameras and other edge devices to incorporate the greater intelligence into upcoming products. NVIDIA is making the capabilities available to large companies and to start-ups with the availability of the JetPack software development kit (SDK) and application program interface (API). More announcements of new products are forthcoming; we can expect a new wave of innovation in the physical security market based on greater intelligence and computing power at the edge.
Creating and accessing intelligence is increasingly part of the mission of corporate security departments, and of Safe Cities applications. Such capabilities were previously the domain of military and government applications, but the same approaches used to provide intelligence from military bases can also be applied to Safe Cities and corporate security projects. Edge360 is a six-year-old company with roots in the military and Department of Defence surveillance. Now, Edge360 is looking to apply that expertise to the Safe Cities and physical security markets. Unifying existing systems Their approach is to unify existing systems into a functioning whole, and to fill in the missing elements in the process. “We take a look at what corporate entities have already leveraged, and then we figure out how to bring them together into a whole system,” says John Rezzonico, CEO of Edge360. “What we have seen is that cities focus on buying a camera, a licence plate recognition (LPR) system, or access control, but they don’t consider what they are doing with it. We come out of the intelligence space, and we look at the ‘big picture’ system.” In focusing on that “big picture,” Edge360 has done a lot of integration work over the years. However, they have also developed some products to help fill those gaps – the missing elements – in systems. As the name indicates, the company focuses on edge devices and how they can be combined to provide “360 degrees” of intelligence. Slingshot “normalises” the datato a standard and easy-to-access format, and indexes the data tobe easily searched by the enduser PSIM for data One of the products Edge360 has developed is called Slingshot, which Rezzonico describes as a “PSIM for data.” PSIM historically has referred to a physical security information management system. Rezzonico’s nickname for Slingshot’s capabilities refers to collecting data from various (existing) databases and then making it easily accessible to an end user. It’s a “data fusion” appliance that leverages data from multiple sources in a variety of formats. It then “normalises” the data to a standard and easy-to-access format, and indexes the data to be easily searched by the end user. The appliance allows end users to search for data with “Google-like” speed and then to view a “normalised” summary of data results (i.e., in a consistent format) that, again, is reminiscent of the results in a Google search. Slingshot emphasises “speed of discovery;” in other words, the appliance creates and accesses a summary of available data, and searches the summary rather than all the databases. That’s a faster process. Once the data is discovered, retrieval focuses on a single record rather than having to scan the entirety of the databases. Each physical location installs one Slingshot appliance to compile and process local databases. Each appliance can accommodate up to 30 million records and 50 users with a user interface. Appliances can communicate with other appliances in other locations, and data is accessible (although protected) in the cloud. The new data element works with and expands the capability of a customer’s existing PSIM system, which ties together physical security systems. "We’re trying to show thatyou can leverage what youhave invested in, and onlyuse appropriate equipment" “There are a million different types of database query systems. Some are very sensitive to what you put into them; they’re time-consuming,” says Rezzonico. “You put the query in and then you have to wait for it to come back. Since we do it with an index, we take the load from the system and provide the result. We allow them to discover information quickly, because it’s indexed. The time to discovery is the most important element.” Video management system interface Slingshot is just one component Edge360 is bringing to the physical security market. Another is called Rhino, which is a “VMS light” designed to tie directly into a PSIM system. The PSIM serves as the system interface and makes a video management system (VMS) interface (“front-end”) unnecessary. Another product from Edge360 is a hybrid wireless/RF surveillance box that can be easily deployed to capture video wherever needed (and redeployed as threats change). The boxes will be shown at ASIS in Orlando, and are applicable to special events such as the Boston Marathon or even a protest march. “We’re trying to show that you can leverage what you have invested in, and only use appropriate equipment,” says Rezzonico. “There are some ‘light’ products that can augment your systems. We focus on the operational needs of customers, not selling the catalogue. We are an integration house, and we simply want to deliver cost-effective solutions based on our experiences in the government and military sectors – but at a lower cost.”
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.
Sony 4K security cameras act as ‘intelligent eyes’ at EDGE Olympic, one of Amsterdam’s most technologically advanced sustainable buildings. The rugged minidome cameras give a clear picture of the flow of workers and visitors into and around the premises. In addition, their excellent low-light sensitivity is an asset for the reinforcement of security at entrances and car parking areas. Playing a key role in EDGE Olympic’s intelligent design are thirteen Sony SNC VM772R 4K minidome cameras EDGE Olympic is an exciting landmark in sustainability. Opened in May 2018, the building constructed by EDGE offers over 11,000m2 of innovative co-working space close to Amsterdam’s Olympic Stadium. Providing a creative and energy-efficient workspace for commercial tenants, the building’s design is focused on a sophisticated digital infrastructure that connects people, devices, sensors and information via a secure cloud platform. Sony SNC VM772R 4K minidome cameras Playing a key role in EDGE Olympic’s intelligent design are thirteen Sony SNC VM772R 4K minidome cameras installed by Netherlands security specialist, Lancker Wolters. The cameras are integrated with Genetec’s video management system to create a comprehensive video security and monitoring solution. Ruggedly built for all-weather outdoor operation around the clock, the SNC VM772R camera features a large, highly sensitive 1.0-type back-illuminated Exmor R CMOS image sensor. Offering four times higher resolution than Full HD, the camera is capable of capturing smooth, crisply detailed 4K video in conditions of near darkness. This allows people and objects to be seen clearly in a wide range of lighting conditions – and thus helps to ensure round-the-clock safety and security of employees, co-workers and visitors to the building. Video data in building operations optimisation In the future, it is expected that video data will also be used to optimise building operations In the future, it is expected that video data will also be used to optimise building operations. For example, intelligent analysis of traffic patterns could enable more efficient room bookings and use of resources such as heating, lighting and cleaning services. Further, SNC-VM772R cameras monitor the EDGE Olympic car park, scanning the registration license plates of vehicles and checking the number against a database to admit authorised staff and visitors only, while automatically raising the barrier to let vehicles exit. This also allows instant confirmation whether a particular employee is present in the building: this overview can be beneficial, for example, in the event of an emergency evacuation. Sony 4K surveillance cameras "The initial price of a particular camera doesn’t matter" comments Erik Ubels, CTO, EDGE Technologies. "It’s the usability over its lifetime that makes it a better investment. That's why we chose Sony 4K cameras for this landmark building and other properties that we’re planning in the near future."
One of Fortaleza's largest hotels, the Gran Marquise Hotel, which hosts thousands of people each year and holds hundreds of events, has reinvented itself and converted analog technology to IP surveillance. Upon project completion, it is expected that the Gran Marquise will have 250 VIVOTEK network cameras installed, integrated and linked with all other hotel devices under Genetec’s cloud-based video-surveillance-as-a-service (VSaaS) solution, Stratocast. About Gran Marquise The Gran Marquise is a five-star hotel of 18 thousand square meters located on the seafront of Fortaleza (Ceará). With a 23 year history, the hotel has a large infrastructure of 230 apartments ranging in size from 29 to 131 square meters, two presidential suites and 21 floors in total, of which 14 are dedicated to guest rooms 7 are retained for events, recreation and administration. The Gran Marquise realised that its security system needed to be renewed It is one of the most in-demand destinations among national and international authorities, artists and athletes, such as Bill Clinton, former president of the United States, Vladimir Putin, current president of Russia, singer Paul McCartney, rapper Snoop Dogg, as well as the fighters of the Ultimate Fighting Championship. In addition, the Gran Marquise was the first hotel in Brazil to achieve the ISO 22000, certificate that ensures adherence to extremely high standards of food quality and safety. Unified security and operations The Gran Marquise realised that its security system needed to be renewed. The hotel had 500 analog cameras and 22 digital video recorders installed – an extensive system, but one which only provided low-quality images and demanded heavy workload when it was necessary to locate and retrieve footage of a recorded event. "We looked at the hotel and realised that we had good internet, excellent rooms, perfect service, but if a customer asked for footage from security cameras, the only thing we could offer were noisy images," said Jussieudo Gomes, Security and Information Technology Division chief of the Hotel Grand Marquise Fortaleza. To solve this dilemma and improve the management and security of the hotel, a plan was formulated to develop a pilot project with VIVOTEK – a global provider of network cameras, PoE switches, and network video recorders, and Genetec, a global provider of IP surveillance software, access control and license plate recognition solutions. Installing VIVOTEK network cameras Divided into four stages, the goal of the project was to enable the total unification of management, security, marketing and commercial operations Divided into four stages, the goal of the project was to enable the total unification of management, security, marketing and commercial operations. In the first phase, 250 analogue cameras were replaced by a mere 48 VIVOTEK network cameras. Also installed was the Genetec Stratocast software, a cloud-based video recorder tool that eliminates the need for any local server, making it possible to monitor and share images with fully encrypted data. Two models of network cameras were installed throughout the hotel: one is the IB8369A, a 2-megapixel camera capable of capturing high quality video, with IR illuminators effective up to 30 meters for superior image quality throughout the day and night. The camera also features Smart Stream II technology, which optimises image quality for the most important regions in any scene; in doing so it can reduce network bandwidth consumption and storage requirements by up to 50%. The other camera installed was the small-scale, but big-featured FD8166, an ultra-mini fixed dome network camera with a tiny diameter of only 90mm. Genetec Security Center solution "Because of the ‘L’ shaped layout of the hotel, we previously had five analog cameras installed on each floor: two in the corridor, because the distance from one side to the other was too long to be monitored by a single analog camera; one in front of the elevator; another covering the 'L' and one more covering the maid’s service area. "Now, each floor has only three cameras: one camera that serves the 'L' and the elevator; another that serves the corridor and one more observing the service area. At the reception area, the same thing happens, we put a different camera on the ceiling, and with just that solution we managed to cover the lobby, the bar, a part of the reception and the stairs of the restaurant, "explained Gomes. The Genetec Security Center solution was implemented for the internal parts of the hotel In the second phase, the Genetec Security Center solution was implemented for the internal parts of the hotel. With this platform, Gran Marquise can unify operations by combining all IP surveillance systems into one interface. Now all access control and video surveillance are connected to, and accessible through, the cloud. Unified access control and fire security The third and fourth stages are still in progress. The goal is to install 250 network cameras in total and unify the security system with access controls and the fire alarm system. In addition, the KiwiVision analytical software was also installed, a system which counts people automatically through cameras and 3D sensors and detects objects added or removed from a scene. This way it is possible to automatically detect if a dangerous object has left behind or if something has been stolen from a particular area. "The new security system has come to improve the image quality of surveillance, the layout of the hotel and the promptness of response to the customer. In the past, if we needed an image we had to expend great effort in searching whole files and spend hours watching videos to be able to select and retrieve the relevant event - not to mention the impact power failures, and malfunctions issues in power supplies, recorders and hard disk drives. ", said Gomes. Video security integration The new IP surveillance infrastructure has already proven effective during a wedding held at the hotel The new IP surveillance infrastructure has already proven effective during a wedding held at the hotel. The bride had been in the spa area enjoying the luxurious Day of the Bride service. However, when she went to dress up for the ceremony, she did not find the jewelry she had prepared for the wedding. Security staffs were triggered to investigate the occurrence. “Through descriptions of the bag that carried the jewelry and the time when the bride last saw it, we were able to locate the footage though the synergy of VIVOTEK’s camera and the Genetec system, and then proceed to point of precise relevance in the video. We noticed that the bride carried the purse into the car, but on exiting the car she was no longer carrying it. When we showed her the pictures, she went to the car and the purse was there. If it wasn’t for the new IP surveillance solution, we would not have been able to ascertain what had happened, the bride would remember and find the jewelry only after the ceremony, and her day would have been ruined. This entire investigation process, finding the images and resolve the case, took only 15 minutes, but saved a very important day" said the security chief. Genetec public-private partnership The Hotel Gran Marquise’s new security system is part of Genetec's private-public sharing initiative The Hotel Gran Marquise’s new security system is part of Genetec's private-public sharing initiative, which enables the sharing of certain cloud-recorded images with police forces. The Military Police, the Ceará State Government and the ABIH (Brazilian Hotels Industry Association in Ceará) are partners in this project along with the hotel. The purpose of this private-public partnership is that, with the monitoring carried out by private companies, the public sector can achieve a more effective action, speedily curbing the action of criminals in monitored places. The private-public partnership is founded on the belief that such sharing of private company surveillance with the public sector will enable a more expedient and effective curbing of criminal activity in such monitored areas. In this way, it is possible to expand monitored areas and reduce crime without direct public sector investment. Recorded images are transmitted in real time to the police, and a two-way relationship benefits both sectors. "The goal of projects with public-private partnerships is prevention. It is possible to increase public safety with little investment from the private sector," explained Country Manager of Genetec Brazil, Denis André Côté. With such initiatives, we are beginning to see the benefits of advances in total surveillance systems expand beyond those companies who take the initiative to invest in them and begin to serve the broader public.
With increased security a priority for school districts across the country, administrators are taking a close look at their technology to ensure it can deliver in an emergency. Concerns over active shooters and other violent scenarios have districts paying attention and putting heightened security measures in place. Christopher Lordi, Director of Administrative Services at Delaware Valley School District in rural, northeast Pennsylvania, knew it was time to upgrade his district’s surveillance technology, so he turned to the integration expertise of Guyette Communications to get the job done. Analogue DVR system The outdoor PTZ cameras that panned back and forth were causing them to miss a lot of activity The DVR system that covered Delaware Valley’s seven schools and nine buildings was state-of-the-art when it was installed a decade ago, but it was no longer meeting the district’s needs. Administrators complained that is was difficult to view and manage video from all of the cameras as a unified system. The analogue video made it hard to identify faces and see other important details. And the outdoor PTZ cameras that panned back and forth were causing them to miss a lot of activity. “We had a lot of blind spots,” says Chris. Guyette Communications, of Plymouth, PA, has worked with the district for over a decade supporting its technology needs, so Chris looked to them for guidance. Scott Surochak and Rick Scalzo, both of Guyette, recommended a new-to-market VMS, Vicon’s Valerus, that they felt would provide all the features and performance the district sought in a very cost-effective manner. They also recommended that the district abandon their analogue cameras and standardise district-wide on higher performance, megapixel IP models. Valerus VMS The significant expense of replacing not just the VMS system, but hundreds of cameras district-wide, required buy-in from the school board. Rick and Scott, along with Vicon’s regional sales manager, Doug Stadler, provided an in-depth demonstration of the capabilities of Vicon’s new Valerus VMS, along with its line of IQeye Alliance cameras, to the school board. The new system would allow them to clearly identify the faces of visitors, read license plates within the school parking lots, eliminate current blind spots throughout the campuses, and easily search video to quickly find evidence of crime or vandalism. Convinced of the long-term value of the investment, the school board gave a green light to proceed. Vicon Fixed and Cruiser cameras Approximately 400 cameras were installed throughout the district’s nine buildings, almost all of which are Vicon 3MP IQeye Alliance fixed domes Installation began in March 2017 and continued throughout the summer. Approximately 400 cameras were installed throughout the district’s nine buildings, almost all of which are Vicon 3MP IQeye Alliance fixed domes. These provide coverage of all entrances to buildings, busy hallways, and spaces like lunchrooms, auditoriums, playgrounds, parking lots and athletic fields. In addition, Vicon Cruiser domes with 30X optical zoom were installed in each parking lot to capture license plates. To support so many high-resolution cameras transmitting at full frame rates, Guyette installed a dedicated security network capable of handling the bandwidth. All cameras are hard wired with new CAT-6 cabling, which feeds back to CISCO switches and a fiber backbone that runs through each building. Installing security network To minimise bandwidth transmission between buildings, Guyette recommended that each school locally record video from its respective cameras. The five lower schools have each been equipped with a single Valerus server that both runs VMS application software and performs as an NVR. The middle school and high school, which share a building, have an application server plus four NVRs to support the higher number of cameras. Because the Valerus VMS software makes exclusive use of a thin-client, there was no need to install software on any workstations. Complete user and administrative functionality is available through a standard web browser interface. Rick says that “Installation went very smoothly. The system works well and it’s easy to navigate and program. I’m used to systems where we have to do everything manually, but with Valerus, it does a lot of things for you. For example, you can copy programming to multiple cameras. Setting up one camera and then copying it to 50 others is a huge time saver.” “The system is also really easy to update,” he says. “Two new Valerus versions were released during the months we were doing the installation, and we just had to download it once each time to an application server, and then it was automatically pushed out to all the other servers on the network.” Efficient crime detection Two new Valerus versions were released during the months we were doing the installation, and we just had to download it once each time to an application server" There isn’t a lot of criminal activity in the Delaware Valley School District, thanks to outreach programs that create a collaborative relationship between the school police force, administrators, students and parents. However, sometimes issues do occur, and Valerus has already helped the district solve a theft. Chris describes an incident that occurred while the system was still being installed in the spring of 2017. “There was a theft from one of the administrative offices. The employee thought the office had been locked, but our surveillance video was able to show that it was not and displayed the comings and goings of everyone who entered the office during the time in question. The video quality was so clear that the thief’s face could be identified. The footage was turned over to the local police who were able to apprehend the thief and recover the stolen property. With our old VMS system, the video wouldn’t have provided enough detail for us to identify the culprit.” High-end video surveillance Chris says he’d love to say that Valerus’ “museum search” made it possible to find the incriminating video in minutes. However, because the system was just getting installed, not all features were operational yet and his police force had to manually look through hours of video. “The officers are really looking forward to being able to use the search function in the future, now that we’re all up and running. They love how you can draw a box over an area of the video where you know something has happened, and Valerus will do all the work for you,” he says. In speaking about response to crimes and emergencies, Rick adds that because Valerus uses a thin client, the school district has the luxury of easily providing outside law enforcement with access to their system. If they ever needed help from local or state police, like in an active shooter situation, administrators can provide them with a link to the district’s network so that they can better coordinate a response. This would have been impossible with their old system. Ensuring Valerus system’s functionality The VMS thin-client interface allows the officers to view video from anywhere, including on their phones or tablets Unusual for a district of its size, Delaware Valley has its own, full-time, six-person police force. Among other responsibilities, this force is tasked with monitoring the new Valerus system. Each officer has been equipped with his or her own workstation from which they can monitor the cameras physically located at their assigned schools. Administrators at each building also have access to view local cameras. In addition, a centrally located, district-wide monitoring station has been set up to make it easy for officers and school officials to keep an eye on the district as a whole. Rick Scalzo explains that while the VMS thin-client interface allows the officers to view video from anywhere, including on their phones or tablets, his team recommended the purchase of high-performance, manufacturer-certified PC workstations for each officer’s monitoring station. This was to ensure that these computers would have the necessary processing power to display large numbers of high-resolution camera feeds simultaneously. These workstations are hard wired to the network to provide the fastest and most reliable connectivity to the application server. Chris Lordi says that the district has also provided all officers with iPhone 6s, which they use regularly to monitor what’s happening at their buildings. License plate recognition and PTZ cameras One of the capabilities that the district required of the new system is the ability to read license plates of vehicles entering or exiting school grounds. Officers are able to take control of the PTZ cameras in each parking lot and zoom in on the plates of any vehicles of interest. This can even be done via the iPhone interface. Chris explains that it has not been necessary to integrate Valerus with any special license plate recognition (LPR) software because his team of police officers has immediate access to databases where they can look up plates as needed. However, this integration is currently available for Valerus customers and can help automate the process for those who need it. Intruder detection They want top-notch safety, and Valerus delivers that" Chris says that “Our school board takes safety and security very seriously, so for them, this significant investment was justified as soon as we showed them what it can do. They want top-notch safety, and Valerus delivers that. Buy-in from teachers, and the union, who have expressed reservations over the placement of many new cameras that didn’t previously exist, has required additional communication and education. Both Chris and Rick have made it very clear that the upgraded system is not for the purpose of intimidating or keeping closer watch on employees as they perform their daily jobs. Our main concern is thwarting security threats and keeping everybody safe. The additional cameras and new software might help us break up a fight or address bullying issues, but it’s also important for much more serious situations, like dealing with an active shooter or act of terrorism. Now we can use cameras to follow an intruder throughout our buildings, and that can help us keep everyone safe while we apprehend him.” Chris says that “When we put it like that, everyone gets on board.” Counter Terror Chris is extremely appreciative of the support Guyette Communications has provided throughout this project, including individually training each school principal as their building was completed. “I can’t stress how well Guyette has delivered for us. They’re flexible, reliable and compassionate, and they’ve been a true partner at every step of the way. I’d recommend Guyette to anybody.” With school back in session, and the district’s police force busy implementing its many safety programs, Chris looks forward to another school year without any major security incidents. However, with a new Valerus system and high-resolution cameras in place, he knows he now has not only the right people but the right technology to handle any crisis.
To provide a practical solution to the monitoring of transportation infrastructure, where maximum situational awareness is paramount, Bosch Building Technologies has combined the innovation behind its video security cameras with the video management expertise of Intelligent Security Systems (ISS). ISS is a global developer of video management and video intelligence solutions. The video management platform, SecurOS, focuses on securing large mission-critical applications, such as industrial and manufacturing sites, transportation systems, banks, sports arenas, retail locations, and campuses and office complexes. ISS’ differentiating video intelligence and image analytics solutions, whether it is Face Capture & Recognition (SecurOS FACE), License Plate Recognition (SecurOS AUTO License Plate Recognition), or Container Character Recognition (SecurOS CARGO), provide effective monitoring solutions to the transportation sector. The capabilities stretch to large-scale entry and exit points such as ports, borders and airport car parks Surveillance challenges Transportation security provides surveillance challenges in varying degrees of situation and scale, so effective license plate recognition is crucial. From tunnels and bridges, where a situation can change in seconds, to regulating traffic flow into a city and capturing a profile of each vehicle, Bosch and ISS can provide answers to the questions that matter. Has a particular vehicle been permitted access to a specific area? Has that vehicle been stolen? What’s the insurance or toll subscription status? Has that vehicle been authorised to operate as a taxi? The capabilities even stretch to large-scale entry and exit points such as ports, borders and airport car parks. Vehicle monitoring Monitoring which vehicles are entering an area, and checking their legitimacy to be there, has never been more critical. Having the capability to capture license plates of every vehicle moving in the designated area gives users complete awareness of traffic flows and usage patterns, allowing them to configure and manage their monitoring preferences efficiently and permit secure data exchanges with other operational management systems and services for efficient infrastructure alignment. If driving conditions were perfect all-year round, the job of an operations manager, for example, would be quite straightforward. But the reality is quite the opposite. That is why the ISS certified Bosch cameras responsible for capturing this data are incredibly robust and built to produce usable images 24/7 in the harshest conditions, including after dark by employing a supplementary infrared light. The selected cameras have a special License Plate Recognition (LPR) mode which is developed in collaboration with ISS to deliver accurate information even when faced with the challenges of glaring headlights and fast-moving vehicles. Interpreting video data directly at source helps to improve levels of security substantially and can also offer clear business advantages SecurOS AUTO license plate recognition High standards are applied to the quality of the images captured. By incorporating the SecurOS AUTO License Plate Recognition (LPR/ANPR) solution, Bosch and ISS can provide several unique benefits for users, including the ability to accurately capture license plate information at 210 km/h (130 mph) in all kinds of weather conditions, including light fog, rain, and snow. Furthermore, utilising advanced algorithms results in a level of accuracy that can distinguish letters from numbers (so an “8” is not mistaken for a “B,” for example) which is a crucial advantage, particularly in emergency situations. The partnership with ISS supports Bosch’s belief that the logical next-step for security is to enable customers to repurpose the vast amounts of video data that they now can capture. Interpreting video data directly at source helps to improve levels of security substantially and can also offer clear business advantages.
Senegal’s Blaise Diagne International Airport has chosen to minimise its parking lot headaches and secure its massive freight zone with intelligent Smart Surveillance solution from the globally renowned supplier of innovative video surveillance products and solutions, Hikvision. Officially opened by Senegalese president Macky Sall in December 2017, Blaise Diagne International Airportl Airport (AIBD) covers 4,500 hectares of land located near the town of Diass, 47km from the capital of Dakar. Built at a cost of $575 million, the new airport is one of the largest travel hubs in West Africa, with a main runway designed to accommodate long-haul aircraft such as the A380 and B787. Approximately 3 million passengers are expected to travel through AIBD annually, increasing to 10 million by 2035. Hikvision intelligent surveillance system The airport’s car parking and freight zone are being secured and managed with the help of a Hikvision intelligent surveillance system Served by leading airlines including Air Algerie, Air Cote d'Ivoire, Ethiopian Airlines, Air France, Kenya Airways, Tunisair, Iberia and South African Airways, catering for passengers with state-of-the-art infrastructure, the airport’s car parking and freight zone are being secured and managed with the help of a Hikvision intelligent surveillance system. With a two level 42,000m² main passenger terminal and 12,800m² cargo terminal building designed to handle 50,000 tons of cargo and 80,000 aircraft movements annually, the new airport offers a long-term solution to intra-African economic activity, providing excellent levels of aviation connectivity. Parking and site management To address the security, efficient management and profitability objectives of the airport’s 17 car park entrances and exits, operator Senecar enlisted the help of Hikvision Authorised Distributor, CST Securite. As a Hikvision Authorised Distributor, CST Securite capitalised on the support of the Hikvision Technical team, and all parties worked to confirm the final specification to meet the needs of the airport’s car parking and freight zone security surveillance, and site management requirements. Smart parking management system CST Securite installed 17 x DS-TCG225 2MP HD resolution ANPR cameras Drawing on specialist products from Hikvision’s Smart Parking Management Solution, for the airport’s car park areas, CST Securite installed 17 x DS-TCG225 2MP HD resolution ANPR cameras, featuring built-in whitelist, LPR identification support, barrier/gate control and audio output. The Hikvision Smart Parking Management System employed at AIBD uses the latest barrier technology combined with Hikvision industry-standard ANPR (Automatic Number Plate Recognition), to ensure seamless, managed vehicular entrance and exit from parking lots. Fast vehicle identification and integrated barrier control software means queues are kept to a minimum - which means greater vehicle flow can be handled to increase the productivity and efficiency of the car parks. Hikvision Darkfighter cameras The industry-leading Hikvision Darkfighter and True WDR imaging technologies employed in the airport’s ANPR system were specified to deliver crisp and clear recognition, alongside a recording of every vehicle using the car parks day and night. A development beyond traditional technology, the airport’s car park barrier activation is not driven by traditional sensor coils in the floor (that detect a vehicle waiting to enter or exit), but by highly accurate ‘radar’ sensors. This technology enables far simpler installation and maintenance, as no ground works are required to dig across roadways or pedestrian pavements to install the traditional sensing coils and their cables. Additionally, the Hikvision radar solution is not affected by local environmental influences such as light, dust or rain, that can inhibit the performance of traditional sensing coil-based solutions. Radar is also a much more reliable technology, as pedestrians as well as vehicles, can be detected far more accurately - ensuring a much safer operation within the airport’s busy vehicular and pedestrian traffic environment. Hikvision’s radar solution The Hikvision Smart Parking Management System provides a range of configurable alarms that help the ANPR system operators to manage daily activity Helping Senecar to maximise their operation, the system provides invaluable statistical and analytical parking lot information, supplying status history, parking usage rate and parking vehicle flow, to name but a few. Underlining the advanced performance capability of the Hikvision Smart Parking Management System, a range of configurable alarms helps the ANPR system operators to manage daily activity, such as unauthorised parking, over-time parking and illegal access, which all helps to support highly-effective vehicle and security management. High-level freight security Designed to handle 50,000 tons of cargo and 80,000 aircraft movements annually, AIBD’s 12,800m² cargo terminal building located to the south-west of the runway accommodates the airport’s freight handling, and incorporates a number of storage areas, freezers, office facilities and electromechanical service areas. To integrate with the airport’s mix of security measures and site management, CST Securite liaised with the airport security team to identify the most advantageous locations to install the freight zone cameras. Designed to capture a comprehensive view of all key internal and external areas, a mix of Hikvision DS-2CD2T42WD 4MP / DS-2CD2T22WD 2MP full HD EXIR Bullet Network Cameras with built-in IR to 50m, and DS-2CD2142FWD 4MP / DS-2CD2122FWD 2MP full HD Vandal-resistant Network Dome Cameras with built-in IR to 30m and edge storage - all with IP67 protection were installed. Hikvision IP cameras and NVRs Hikvision NVR-7332NI-E4/16P Embedded Plug & Play NVR’s and a DS-7716NI-I4 NVR were installed to provide up to 6MP resolution recording Supporting the Hikvision cameras’ high-performance imaging, their on-board VCA alarm activation parameters was set-up for individual camera scenes, to provide automated alarm activations and situation awareness of any predetermined set of events within each cameras’ view. To provide the airport’s security and management teams with effective real-time and playback monitoring, at the control room, Hikvision NVR-7332NI-E4/16P Embedded Plug & Play NVR’s and a DS-7716NI-I4 NVR were installed to provide up to 6MP resolution recording. Simple and intuitive systems control is provided by Hikvision’s iVMS-5200E Control Software, enabling all aspects of the surveillance system to be managed effectively. Commenting on the AIBD installation, Kevin Zhu, General Manager of CST Securite said: “Having used their products many times before on other high-profile projects, we had no doubt that the choice of Hikvision surveillance products would provide the customer with an efficient, and reliable intelligent surveillance solution. We can confirm the good reputation of Hikvision products’ quality is backed by an equally good experience of their after-sales service.”
Round table discussion
There is no expectation of privacy in a public space. That’s the premise on which most video surveillance applications are justified. But new concerns about privacy, specifically the General Data Protection Regulation (GDPR) in Europe, are changing expectations. And what if a camera must be positioned where a private area happens to be within its range? Fortunately, there are technology approaches to solving these dilemmas, as our Expert Panellists explain. We asked: What new technologies are helping video systems overcome concerns about privacy?
Among its many uses and benefits, technology is a handy tool in the fantasy world of movie and television thrillers. We all know the scene: a vital plot point depends on having just the right super-duper gadget to locate a suspect or to get past a locked door. In movies and TV, face recognition is more a super power than a technical function. Video footage can be magically enhanced to provide a perfect image of a license plate number. We have all shaken our heads in disbelief, and yet, our industry’s technical capabilities are improving every day. Are we approaching a day when the “enhanced” view of technology in movies and TV is closer to the truth? We asked this week’s Expert Panel Roundtable: How much has the gap closed between the reality of security system capabilities and what you see on TV (or at the movies)?