Artificial intelligence (AI)
IronYun, an AI-based video surveillance software company and Razberi Technologies, an open-platform video surveillance hardware company entered into a technology partnership, marking a turning point for IronYun’s physical security video surveillance solutions. With the introduction of IP cameras, physical security has become a strain on network bandwidth. Security response times can mean the difference between life or death. The technology required to store and quickly retrieve 4 mega pixel video used to identify threats, would not be possible without a high-quality surveillance storage server like Razberi Core. Razberi Core is IronYun’s technology solution for industries that require centralised video recording, hardened server-class appliances, and cybersecurity protection. Some of IronYun’s most demanding security customers are within government and military industries. Partnership to benefit customers We are excited to include Razberi’s video recording products in IronYun’s portfolio of video surveillance solutions"The next generation artificial intelligence video surveillance software company, IronYun, will begin deploying their video surveillance solutions with Razberi Core’s server storage hardware in Q3 of this year. Many of IronYun’s customers stand to benefit from the technology partnership. Razberi’s physical security video storage solution paired with IronYun’s artificial intelligence video surveillance software is pending deployment in smart city projects utilising centralised recording networks. “IronYun invests heavily in R&D and secures our intellectual properties, working hand in hand with industry leaders like Razberi Technologies,” said Paul Sun, CEO, IronYun. “We are excited to include Razberi’s centralised video recording products in IronYun’s portfolio of video surveillance solutions and anxious to deploy in smart city projects.” Enables real-time alerts for use cases The combined solution best equips end users to safeguard their facilities with the least amount of manual effortRazberi’s open platform configuration makes it easy for companies like IronYun to deploy Core units into a centralised video network in a plug-and-play fashion. Paired with IronYun’s high-accuracy AI video analytics, the solution eliminates false alarms, enables real-time alerts for various use cases, and decreases search and monitoring time to only seconds, which help business and investigators proactively respond in all situations. The combined solution best equips end users to safeguard their facilities with the least amount of manual effort. “IronYun has been a great partner,” commented Will Melendez, VP of Sales, Razberi Technologies. “We are proud to work closely with them on a variety of projects and utilise their expertise in AI video surveillance.”
42Crunch, creator of the industry’s first API Firewall, has announced the latest release of its API security platform with enhanced tools for developers to easily define security in OpenAPI contracts, enabling an agile DevSecOps experience, and providing full visibility into each individual API’s security landscape. API security API security is complex and becomes a bottleneck when not implemented properly. Adopting a shift-left approach will allow enterprises to ensure security through simplification, automation and collaboration by delivering security as code - this starts with development. 42Crunch empowers developers with tools to define security in API contracts. The newest enhancements provide developers with a single pane of glass to: Run 200+ security checks of the OpenAPI specification definition, with detailed feedback for security improvements Easily view security issues in-line with contract based on severity level And make edits directly in the new web user interface Automated security platform Developers are the most valuable intelligence in delivering better, simpler, automated API Security" “We believe developers are the most valuable intelligence when it comes to delivering better, simpler, automated API Security,” says Jacques Declas, CEO and founder of 42Crunch. “By using API contracts at the heart of security, you’re empowering them to be the driving force in defining security requirements and identifying risks from day one.” 42Crunch has also recently launched an OpenAPI (Swagger) Editor for VS Code as part of an overall strategy to simplify security, and empower developers with tools to easily deliver security as code. The extension has been well received with a 5 star rating, and more than 15,000 downloads in under 7 weeks. Integrated tools Unlike other solutions on the market, the 42Crunch platform empowers development, security and operations teams with a set of integrated tools to easily build security into the foundation of the API and enforce those policies throughout the API lifecycle.
Everbridge, Inc., the global provider of critical event management (CEM) and enterprise safety software applications to help keep people safe and businesses running, announced the acquisition of NC4, a global provider of threat intelligence solutions that empower businesses, government organisations, and communities to assess and disseminate risk data and information to manage and mitigate the impact of critical events. The combination of NC4’s real-time threat intelligence and analyst teams with Everbridge’s existing Global Intelligence Operations Center (GIOC) analysts and market-leading CEM platform creates the industry’s only end-to-end threat assessment and incident communications and management platform for reducing the impact of internal and external threats to people and assets. Together, NC4 and Everbridge are providing the most comprehensive solution for enterprises and government agencies to reduce the ‘time to know’ that a critical event has occurred through to remediation, all from a single pane of glass. Expands the overall situational awareness This acquisition dramatically expands the overall situational awareness Everbridge will provide to organisations"“With NC4, we are adding the industry leader in threat intelligence, making Everbridge one of the largest providers of data for enterprise security and operations in the world,” said David Meredith, CEO of Everbridge. “NC4 offers the most comprehensive threat data in the industry and this acquisition dramatically expands the overall situational awareness Everbridge will provide to organisations, from incident identification to response, mitigation or ultimately, avoidance and prevention.” NC4 combines thousands of the most trustworthy data sources with an experienced team of analysts creating the industry’s leading source of verified data and hyper local threat intelligence. NC4 generates more than 27,000 geo-targeted alerts and nearly 700 incident reports each day for many of the world’s largest businesses, global organisations and government agencies, including over 100 of the FORTUNE 500. AI-enabled incident collection “Verified sources and analysis eliminate the noise and enable us to generate the most impactful information while eliminating false positives,” said Karl Kotalik, President and CEO of NC4. The acquisition includes the NC4 Risk Center solution and NC4’s E Team Emergency Operations Center software “It takes the best of both worlds, machine learning and AI-enabled incident collection and human analysis, to generate the most meaningful intelligence. Everbridge’s market-leading platform, the breadth of its offerings, and the experience of its global team made for a natural fit with NC4. We look forward to aligning with the market leader to jointly provide organisations with unprecedented visibility into the threats and incidents that can impact people and business.” Innovative solutions for critical event management NC4 has offices in El Segundo, California, Merrifield, Virginia and Richmond, Virginia. Together, Everbridge and NC4 form a global team of over 950 employees dedicated to delivering innovative, differentiated solutions for critical event management. The acquisition includes the NC4 Risk Center solution and the NC4 brand, as well as NC4’s E Team Emergency Operations Center software solution. The other NC4 products, including Celerium solutions for cyber security and Street Smart for law enforcement, will continue with the current owner. The aggregate consideration paid by Everbridge was approximately $83 million in cash and Everbridge stock. While the largest business component has been closed, additional components are not expected to be closed until the end of the third quarter. The acquisition, upon completion, is expected to be accretive to Everbridge’s non-GAAP financial results within twelve months, and Everbridge will provide further financial details after completion of the entire transaction.
Videonetics, the visual computing platform development company, announces that it ranked amongst top 5 Video Management Software providers in Asia market with the market share of 5.4%, according to a recently released report released by IHS Markit. IHS Markit is a provider of critical information, analytics and expertise to forge solutions for the major industries and markets that drive economies worldwide. Rankings are adjudged using a robust rating scale and evaluated on based on percentage revenue growth, competitive advantage, size and innovation capabilities over the year. Achieve widespread adoption Commenting on the achievement, Dr. Tinku Acharya, Fellow IEEE, Founder & MD, Videonetics, “It is a prestigious honour to be recognised as an industry leader in VMS by IHS Markit. This recognition validates our drive for high performance, innovation, differentiation and global scalability.” We’ve always strived to bring more value to our partners, integrators and customers" “Building upon our award winning and patented AI & deep learning framework, we continue to achieve widespread adoption of our Unified Video Computing Platform (UVCP™), in smart & safe cities, aviation, industrial, education, BFSI, retail, healthcare sectors”, he further added. Mr. Avinash Trivedi, VP – Business Development, Videonetics expressed, “We’ve always strived to bring more value to our partners, integrators and customers. I would like to dedicate this achievement to them for their continued support, commitment and excellent contribution to Videonetics growth”. Unique forensic investigation Videonetics Intelligent Video Management Software (IVMS) is an open architecture, agnostic, scalable and modular video management and analytics software. IVMS provides enterprise-class features without discriminating on the size of the project and manages the video effectively, optimally and securely. IVMS offers flexible deployment environments to suit your preferences, needs and budget. Powered with DeeperLook™ - Videonetics’ AI & DL platform offering unique forensic investigation and video evidence features, IVMS is an ideal software solution for challenging security needs of an organisation. IVMS is a part of Videonetics’ patented Unified Video Computing Platform (UVCP™) which brings together other applications such as deep learning based video analytics, intelligent traffic management and face recognition to address all of the video computing requirements. IVMS offers true open architecture to enable easy 3rd party integrations with various sub systems such as access control, fire alarm systems, SCADA, intrusion detection, ICCC, C4I and IBMS systems.
The cyber security threat is constant and real. Entire businesses, large enterprises and even whole cities have been vulnerable to these attacks. Growing threat of cyber attacks The threat is not trivial. Recently, two cities in Florida hit by ransom ware attacks – Rivera Beach and Lake City – opted to capitulate and pay ransom totaling more than $1.1 million to hackers. The attacks had disrupted communications for first responders and crippled online payment and traffic-ticketing systems. It was reminiscent of the $4 billion global WannaCry attacks on financial and healthcare companies. A full two years after the WannaCry attack, many of the hundreds of thousands of computers affected remain infected. And hackers are continuously devising new techniques, adapting the latest technology innovations including machine learning and artificial intelligence to devise more destructive forms of attack. Indeed, AI promises to become the next major weapon in the cyber arms race. For enterprises, there is no choice but to recognise the threat and adopt effective countermeasures Enterprise security For enterprises, there is no choice but to recognise the threat and adopt effective countermeasures. Not surprisingly, as the number, scale and sophistication of cyber-attacks has grown, so has the significance of the Chief Information Security Officer, or CISO, who owns the responsibility of sounding the alarm to the C-suite and the board – and recommending the best defense strategies. Consider it a grim irony of the digital economy. As companies have migrated to the cloud to gain scale and efficiency and integrated new channels and touch points to make it easier for their customers and suppliers to do business with them, they have also created more potential points of entry for cyber-attacks. IoT increases threat of cyber-attacks Amplifying that vulnerability is the trend of allowing employees to bring their own laptops, smartphones and other digital devices to the office or use to work remotely. And thanks to the Internet of Things, as more devices connect to enterprise systems – from thermostats to cars – the threat surface or targets of intrusion are multiplying exponentially. According to the McAfee Labs 2019 Threats Predictions Report, hackers will increasingly turn to AI to help them evade detection and automate their target selection. Companies will have no choice but to begin adopting AI defenses to counter these cybercriminals. Importance of cyber security This escalation in the cyber arms race reflects the sheer volume of data and transactions in modern life. In businesses like financial services and healthcare it is not humanly possible to examine every transaction for anomalies that might signal cyber snooping. Even when oddities are glimpsed, simply flagging potential problems can create so-called threat fatigue from endless false alarms. What’s more, attacks like those from Trickbots are specifically designed to go undetected by end users. The fact is, even if throwing more people at the problem were a solution, there aren’t enough skilled cyber security workers in the world. By some estimates, as many as 10 million cyber security jobs now go unfilled. AI is being used to conduct predictive analysis at a scale beyond human means Deploying AI As a result, AI is being deployed on multiple cyber-defense fronts. So far, it is mainly being used to conduct predictive analysis at a scale beyond human means. AI programs can sift through petabytes of data, identifying anomalies and even helping an organisation recognise and diagnose intrusions before they turn into catastrophic attacks. AI can also be used to continually monitor and allocate levels of access to a network’s multitude of legitimate users – whether employees, customers, partners or suppliers – to ensure that all parties have the access they need, but only the access they need. Countering cyber security threats To harden defenses, some AI programs can be configured to perform simulated war games To harden defenses, some AI programs can be configured to perform simulated war games. Because cyber attackers have stealth on their side, organisations might need dozens of experts to counter only a handful of attackers. AI can help even the odds, scoping out the potential permutations of vulnerabilities. As CISOs – and the CIOs they typically report to – advise C-suites and boards on their growing cybersecurity risk, they can also help those leaders recognize an enduring truth: AI programs cannot replace experienced cybersecurity professionals. But the technology can make staff smarter, more vigilant and more nimbly responsive. AI-based cyber security tools Financial and healthcare companies are leading this charge because of the sheer volume and variety of transactions they handle and because of the value and sensitivity of the data. Organisations like the U.S. Department of Defense and the space agency NASA, as well as governments around the world are also implementing AI-based tools to address the cyber threat. For businesses of all types, the threat stretches from the back office to the supply chain to the store front. That is why recognising and countering that threat must involve everyone from the CISO to the CEO to the Chairman of the Board. The AI arms race is underway in security. To delay joining it is to risk letting your enterprise become one of the grim statistics.
Artificial intelligence allows machines to do jobs previously done by people. When it comes to security and surveillance, this technology allows cameras and control room equipment to identify a wide range of threats automatically and in real time across hundreds or even thousands of cameras – allowing security teams to take immediate action to protect people and assets. AI technology and surveillance solutions Artificial Intelligence technology built into surveillance solutions help organisations optimise their security Video surveillance cameras are the electronic eyes of any security operation. In the past, human supervision was needed to make sense of the images captured, and to assess whether certain events posed a security risk or not. With some organisations using hundreds or even thousands of cameras to protect their people and assets, manual review of footage is simply impossible – potentially leaving them vulnerable to security breaches. Advanced Artificial Intelligence technology built into surveillance solutions can help organisations overcome this challenge and optimise their security. This means cameras, control-room equipment and back-end infrastructure can now ‘learn’ about potential threats for themselves by recognising people, vehicles and even behaviours. Detection and prevention The manual interventions needed with traditional security systems mean that teams were frequently reacting to breaches that had already happened. Artificial Intelligence changes all this by recognising potential threats before they impact company’s people or assets – allowing security teams to react immediately to neutralise any potential threat. Artificial intelligence solutions can automatically trigger alerts when a person appears in a restricted area For example, artificial Intelligence solutions can automatically trigger alerts when a person appears in a restricted area, or when a vehicle with a blacklisted number plate enters a site. With alerts delivered in real time, teams can identify and react to security threats and protect people and assets more effectively. And because alerts are automated, potential threats are hardly missed or overlooked. How does artificial intelligence work? Artificial Intelligence systems become more intelligent over time, building databases of potential threats and reacting to new events accordingly. This allows systems to ‘think for themselves’ and to alert teams of any suspicious events or people who are caught on camera. Artificial intelligence technologies use advanced algorithms based on Deep Learning to distinguish between different kinds of security events and threats. Technologies incorporated into the Hikvision portfolio include: Facial recognition which allows law enforcement personnel to identify suspects and commercial teams to identify VIP customers in real time. Vehicle identification which can be used to identify vehicle number plates and recognise different types of vehicles (even down to make and model), or to trigger alerts when vehicles enter restricted areas. Perimeter protection which helps organisations to identify real threats by distinguishing people and vehicles from other moving objects and keeping false alarms to a minimum. Business intelligence which employs people counting, queue detection, and heat mapping technologies, so that organisations can enhance operational efficiency by making use of the data report. Increasing commercial success Artificial intelligence isn’t just useful for identifying security threats – although this is a key strength of the technology. It can also help organisations increase their competitiveness and commercial success. For example, VIP customers who opt to participate in special marketing promotions or other incentives can be identified so staff can provide the right kind of service at the right time. This gives organisations the opportunity to personalise the service experience, foster loyalty and maximise customer lifetime revenues. Artificial Intelligence can help organisations to better understand customers and meet their needs more effectively In the same way, artificial Intelligence can help organisations to better understand customers and meet their needs more effectively – leading to more commercial opportunities. One feature – called People Counting – allows stores and commercial centres to map footfall at peak times, ensuring that staffing is optimised to meet demand. At the same time, stores can see which areas of the building customers visit most and adjust their merchandising and product positioning accordingly to maximise the sales opportunities. Artificial intelligence at Hikvision Hikvision’s family of artificial intelligence products include the DeepinView network cameras and DeepinMind NVRs. The products help to tackle security with facial recognition; monitoring and counting of people; and recognition and detection of vehicles, to name a few. These features all depend on artificial intelligence technology to recognise, classify and respond to security threats. This article was written by Hikvision.
Where are video surveillance cameras headed? At the core of next-generation Internet Protocol (IP) cameras are advanced chips with artificial intelligence (AI) at the edge, enabling cameras to gather valuable information about an incident: scanning shoppers at a department store, monitoring city streets, or checking on an elderly loved one at home. Thanks to advanced chip technology, complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras —professional to consumer — fueling the democratisation of AI in the IP camera market. Complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras Expanding the global IP camera market The video surveillance equipment market grew to $18.5 billion in 2018 and is expected to increase this year, according to IHS Markit. The latest research points to video everywhere, edge computing, and AI as the top technologies that will have a major impact in both commercial and consumer markets in 2019. Computing at the edge means that the processors inside the camera are powerful enough to run AI processing locally, while still encoding and streaming video, and are able to do it all at the low-power required to fit into the limited thermal budget of an IP camera. New SoC chips will be able to perform all of the processing on camera and provide accurate AI information, with no need to send data to a server or the cloud for processing. Instead, data can be analysed right in the camera itself, offering high performance, real-time video analytics, and lower latency — all critical aspects of video surveillance. This new AI paradigm is made possible by a new generation of SoCs, a key driver behind the market growth of IP cameras. Complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras to fuel the advent of AI in the IP camera market Micro-processor-enabled video analytics Next-generation video cameras will be able to create heat maps of stores to see where people spend the most time Microprocessor-enabled analytics allow users to more easily extract valuable data from video streams. How about an insider’s view into retail customer behavior? Consider video cameras at a department store, monitoring shoppers’ behavior, traffic patterns, and areas of interest. Next-generation cameras will recognise how long a shopper stays in front of a specific display, if the shopper leaves and returns, and if the shopper ultimately makes a purchase. Next-generation video cameras will be able to create heat maps of stores to see where people spend the most time, so retailers will be able to adjust product placement accordingly. Analytics will also help identify busy/quiet times of the day, so retailers can staff accordingly. By understanding customers’ behavior, retailers can determine the best way to interact with them, target specific campaigns, and tailor ads for them. Cue the coupons while the shopper is still onsite! Analytics will also help identify busy/quiet times of the day, so retailers can staff accordingly Fast processing for rapid response at city level City surveillance and smart cities are depending on advanced video surveillance and intelligence to keep an eye on people and vehicles, identify criminals, flag suspicious behavior, and identify potentially dangerous situations such as loitering, big crowds forming, or cars driving the wrong way.Quick local decisions on the video cameras are also used to help analyse traffic situations Quick local decisions on the video cameras are also used to help analyse traffic situations, adjust traffic lights, identify license plates, automatically charge cars for parking, find a missing car across a city, or create live and accurate traffic maps. Real-time HD video monitoring and recording When it comes to home monitoring, what will next-generation video surveillance cameras offer? Real-time monitoring and notification can detect if a person is in the back yard or approaching the door, if there’s a suspicious vehicle in the driveway, or if a package is being delivered (or stolen). Advanced video cameras can determine when notifications are and aren’t required, since users don’t want to be notified for false alerts such as rain, tree branches moving, bugs, etc. Next-generation video camera capabilities can also help monitor a loved one, person or pet, helping put families at ease if they are at work or on vacation. For example, helpful analytics may be used to detect if someone has fallen, hasn’t moved for a while, or does not appear for breakfast according to their typical schedule. City surveillance and smart cities are depending on advanced video surveillance and intelligence to keep an eye on people and vehicles, identify criminals, flag suspicious behavior, and identify potentially dangerous situations Next-gen IP cameras When evaluating next-generation IP cameras (cameras on the edge), look at the brains. These cameras will likely be powered by next-generation SoCs chips. Here is what this means to you: Save on network bandwidth, cloud computing and storage costs. There is no need to constantly upload videos to a server for analysis. Analysis can be performed locally on the camera, with only relevant videos being uploaded. Faster reaction time. Decisions are made locally, with no network latency. This is critical if you need to sound an alarm on a specific event. Privacy. In the most extreme cases, no video needs to leave the camera. Only metadata needs to be sent to the cloud or server. For example, the faces of people can be recognised in the camera and acted upon, but the video never reaches the cloud. The cameras can just stream a description of the scene to the server “suspicious person with a red sweater walking in front of the train station, has been loitering for the last 10 minutes, suggest sending an agent to check it out.” This could become a requirement in some EU countries with GDPR rules. Easier search. Instead of having to look through hours of video content, the server can just store/analyse the metadata, and easily perform searches such as “find all people with a red sweater who stayed more than five minutes in front of the train station today.” Flexibility/personalisation. Each camera at the edge can be personalised to work better for the specific scene it is looking at, compared to a generic server. For example, “run a heat map algorithm on camera A (retail) as I want to know which sections of my store get the most traffic; and run a license plate recogniser on camera B (parking lot) as I want to be able to track the cars going in/out of my parking lot.” No cloud computing required. For cameras in remote locations or with limited network bandwidth, users have the ability to perform all analytics locally, without relying on uploading video to a server/cloud. Higher resolution/quality. When AI processing is performed locally, the full resolution of the sensor can be used (up to 4K or more), while typically the video streamed to a server will be lower resolution, 1080p or less. This means more pixels are available locally for the AI engine so that you will be able to detect a face from a higher distance than when the video is streamed off camera. AI at the edge Professional-level IP cameras capable of performing AI at the edge are coming soon with early offerings making their debut at this year’s ISC West. As we enter 2020, we will begin to see the availability of consumer-level cameras enabling real-time video analytics at the edge for home use. With rapid technology advancement and increased customer demand, AI is on the verge of exploding. When it comes to image quality and video analytics, IP cameras now in development will create a next-generation impact at department stores, above city streets, and keeping an eye on our loved ones.
A video analytics system that provides ‘behavioural understanding’ can yield more meaningful and actionable data for a range of applications. In public safety and security, such a system can alert on violent or suspicious behaviours, such as people fighting, vandalism, people with weapons, etc. In advanced traffic surveillance and monitoring, it can provide alerts to vehicle collisions (accidents), traffic hazards or vehicle that aren’t using the road properly, such as a car that stops in the middle of the junction. For enterprise and campus security, it can provide advanced anti-tailgating and detect unauthorised activity. Video surveillance infrastructure viisights was founded by a group of entrepreneurs with track records in developing technology businesses These uses are among the benefits of viisights’ video analytics technology based on behavioural understanding of video content. “It means we can extract more meaningful data from the huge amount of video content that is captured, and we can transform that data to actionable insights that eventually justify the massive investment in video surveillance infrastructure,” says Asaf Birenzvieg, CEO of viisights. Their behavioural understanding systems for real-time video intelligence leverage artificial intelligence technology. viisights was founded by a group of serial entrepreneurs with track records in developing technology businesses. The Israeli company’s founders recognised a growing global need for intelligence to make physical and virtual public areas safer – and realised the role that smart video understanding technology can play. Developing artificial intelligence technologies viisights is committed to developing artificial intelligence technologies that facilitate human-like video understanding, which in turn serves as the basis for fully autonomous video intelligence systems powered by pattern prediction technology. “Behavioural recognition is the future of video analytics and the next generation of the object classification analytics systems that hold the majority of the market today,” says Birenzvieg. viisights has developed a video understanding technology for real-time video processing “To date most video analytics systems still base their product features on static analysis of objects from images using image recognition, even the ones that use ‘AI analytics.’ Products built using such object classification technology are extremely limited.” For example, object classification analytics cannot recognise behavioural events in a video such as people fighting or a car collision because such behaviours can’t accurately be concluded in large scale from analysing a single static image/frame. Video understanding technology viisights has developed a video understanding technology for real-time video processing. The technology can process live video feeds. In addition to recognising a particular object (e.g., person) and its attributes (e.g., red shirt), the system can understand an object’s actions, interactions with other objects (events), the scene being viewed (i.e., crowd is gathering, riots) and the context (a car is driving on the road or on the sidewalk). The main verticals are smart cities, enterprises and campuses, banks and ATM security “Basically, we are able to extract more meaningful data from a live video feed and therefore create actionable insights and greater ROI,” says Birenzvieg. The company focuses mostly on security and safety use-cases. The main verticals are smart cities, enterprises and campuses, banks and ATM security, security guard companies and transportation hubs. The company is working on a new product for in-vehicle monitoring mostly for security, safety, vehicle protection and proper vehicle use; it monitors passengers’ behaviour inside a bus, train, or taxi. The product will come to market next year. Video management system viisights’ video analytics offering is currently optimised for server-side deployment, and the integration architecture is similar to most video analytics systems. From one side it is integrated with the video management system (VMS). They are a Milestone verified partner and soon will be part of Milestone's marketplace. From the other end, it is connected to a command-and-control system for processing the data and presenting the alerts to the end-user. The analytics company makes most sales through system integrators. They have partnerships with big system integrators like Motorola Solutions and NEC and are also working with smaller ones. They are looking to expand their system integrator network, mostly in the USA and Europe. Behaviours can have many variations and they can be very diverse Cloud video surveillance “We will continue to invest in performance and accuracy, meaning higher recall and lower false positive rate,” says Birenzvieg. “Since our major value proposition is in behaviour recognition, behaviour events many times are not clearly defined, which is very different from object classification. Behaviours can have many variations and they can be very diverse.” An example is a simple behaviour like a person falling on the floor. A person can fall on the floor in many ways, but the challenge is to ignore similar behaviours that are not a person falling and that confuse the system, such as a person bending over to tie his shoelaces. With cloud video surveillance becoming a trend, viisights is also looking into offering some of their advanced functionalities in a video-analytics-as-a-service-model.
Intelligent solutions, such as those derived from artificial intelligence, help critical infrastructure organisations make sense of vast amounts of data. These integrated applications, such as advanced video analytics and facial recognition, can automatically pinpoint potential breaches and significant events, and send alerts to the appropriate personnel, departments, and agencies. These solutions can be powerful in unifying disparate command centre technologies, fusing critical data input from emergency calls and responder activity to enhance situational awareness. Electrical substations are particularly vulnerable (and in need of extra security) due to their role in power distribution and the nature of their equipment. The challenge power utilities worldwide are facing is finding an affordable solution, which can help detect, deter and facilitate an informed response to a substation security event. Data capture form to appear here! U.S. regulations In the United States, this need is furthered by the physical security mandate CIP-014 issued by the North American Electric Reliability Corporation (NERC), calling for identification of security issues, vulnerability assessments and deployment of appropriate processes and systems to address. CIP-014 identification of security issues, vulnerability assessments and deployment of appropriate processes and systems to address CIP-104 specifically calls for implemented security plans that include measures to deter, detect, delay, assess, communicate, coordinate and respond to potential physical threats and vulnerabilities. Manufacturers of video and other systems are designing products to serve the critical infrastructure market. For example, Dahua Technology offers explosion-proof cameras with a combination of rugged reliability and superior optics that is a fit for surveillance of explosive and corrosive environments, including chemical plants, refineries, and other facilities in the oil and gas industry. This explosion-proof series of cameras are housed in enclosures that are certified to the ATEX and IECEx standards for equipment in explosive atmospheres. Each explosion-proof camera features Dahua’s Starlight technology for ultra low-light sensitivity and high-definition sensors that deliver clear images in real-time. They are IP68-rated to prevent water and dust ingress. Each explosion-proof camera features Dahua’s Starlight technology for ultra low-light sensitivity and high-definition sensors that deliver clear images in real-time Video footage in extreme temperatures Another manufacturer, Videotec, offers a range of cameras and housings that provide video footage regardless of aggressive external factors, such as ice cold, scorching heat, desert sand, the force of sea or wind, total darkness, pollution, corrosion and even explosive agents. SightSensor thermal systems enable a utility to detect and respond to substation security incidents across multiple sitesSightLogix smart thermal camera systems have been deployed to protect substations for electric utilities and other critical infrastructure facilities. SightSensor thermal systems enable a utility to detect and respond to substation security incidents across multiple sites, ranging from copper theft to vandalism while also meeting regulatory compliance. At each substation facility, Thermal SightSensors are positioned along the perimeter, and are paired with a high-resolution pan-tilt-zoom camera for alarm assessment. When a Thermal SightSensor detects an intruder, the target’s location information is sent over the network to a SightTracker PTZ controller, which automatically zooms and steers PTZ cameras to follow the intruder. The target’s location is also displayed on a topology site map to provide real-time situational awareness. Alarms are sent to the utility’s 24-hour security operations centre, which will contact law enforcement in real time when unauthorised intrusions are detected. Integrated intrusion detection and lighting systems The Senstar LM100 hybrid perimeter intrusion detection and intelligent lighting system is simplifying security at one U.S. electrical utility company. For years, the utility company had integrated its perimeter intrusion detection and lighting systems. The company has now installed the Senstar LM100 which provides detection and lighting in one product and saves them over $80,000 per site. The savings are a result of the reduction of electrical requirements, conduit, grounding, and associated labor, as well as the removal of certain equipment from project scope that are required for the two-system integration. The Senstar LM100’s perimeter LED-based lighting acts as an initial deterrent. If an intruder persists and an attempt to cut, climb or otherwise break through the fence is detected, the closest luminaire begins to strobe, and an alert is sent via a security management system. The intruder knows immediately they have been detected and that their exact location is known by security and others in the vicinity.
School shootings, especially in the United States, present an ongoing tragedy and a challenge to the security industry. We like to think we have solutions that can help, if not “solve”, the problem: but how effective are they at the end of the day? The sad answer – even after dozens of school shootings and even in the wrenching aftermath of the latest one – is that we don’t know. There is a gaping lack of knowledge and research when it comes to measuring the effectiveness of preventative measures as they relate to school shootings. A 2016 study by the Rand Corp. points to the problem: Lack of data and research on what works and what doesn’t. “Despite growth in the school safety-technology sector, rigorous research about the effectiveness of these technologies is virtually non-existent,” according to Rand (as reported in Education Week). “The field is in desperate need of more evidence on what works, and schools want this information presented to them in vetted, digestible ways to help them with procurement.” Role of early detection Early detection of weapons in the school environment can minimise the impact of school violence Early detection of weapons – and their users – in the school environment can minimise the impact of school violence. For example, ZeroEyes is an intelligent video analytics platform, powered by artificial intelligence (AI), to detect weapons and recognise faces in real time. The company’s goal is to provide school administrators and decision-makers with a simple, intuitive situational awareness platform that gives first responders a tactical advantage. Data capture form to appear here! An emerging tool in campus security is audio analytics: Aggression and gunshot detection are some of the best security tools in the campus security market when it comes to detection, intervention and deterrence. Aggression detectors are capable of accurately recognising duress in a person’s voice. The software automatically and objectively detects the presence of rising human aggression, anger or fear, and subsequently warns staff by a visual alert or alarm trigger. A gunshot detector recognises firearm discharge from various firearms in different settings. Within seconds of a gunshot, the software accurately classifies and triggers an immediate notification. Emergency response technology CLASS [Crisis Lockdown Alert Status System] by Sielox is an incident and crisis management solution Emergency response in also important, and technology can play a role. For example, physical security company Sielox has adapted the idea of using a colour scheme to characterise an emergency situation into its electronic security system. CLASS [Crisis Lockdown Alert Status System] by Sielox is an incident and crisis management solution that uses a variety of colours to designate the emergency conditions in various parts of a school building – red to alert to a crisis condition and green to designate "safe/secure". Colours are displayed on a schematic of the building, and new colours have been added, too, such as yellow for “unaccounted individual", orange for “disturbance” and blue to designate a medical emergency. CLASS offers five different alert levels and eight different colours that are configurable to denote a wide variety of emergency or non-emergency situations (such as maintenance or homeroom check-in status). Emergency response in also important, and technology can play a role Non-lethal methods to suppress active shooters in schools are also emerging. For example, one remotely deployed threat suppression system drenches a perpetrator with a repulsive water-based solution, thus impairing their ability to enact violence. The solution irritates eyes, throat, lungs and skin, but does not cause permanent injury. Cleanup is easy using water and detergent. The solution is manually deployed in predetermined zones, which limits the affected areas in a building. Touch-screen control enables rapid deployment, which can also be integrated with Threat Alert buttons and/or gunshot detection. ShotSpotter gunfire tracking Gun violence is also an issue in the neighborhoods where schools are located Beyond the schools themselves, gun violence is an issue in the neighborhoods where schools are located. ShotSpotter, Inc. released data tracking gunfire in and around public K-12 school communities within ShotSpotter coverage areas during 2017. The data revealed more than 4,800 gunfire incidents occurred during school hours within a one-half mile radius of public K-12 schools and within the coverage area. There are 2,320 public K-12 schools and over 1,079,700 students within ShotSpotter coverage areas in 77 cities in the United States. The ShotSpotter study tracked and analysed data on the number of gunfire incidents that occurred at or near those schools across the time period from 7 a.m. – 5 p.m. local time, Monday – Friday, including summer and holidays. On a positive note, awareness of high-profile school violence has prompted action. Schools and universities are most certainly safer than ever before. High-profile incidents, especially active shooters tragedies, have increased collective security awareness. Heightened awareness leads to safer practices, improved emergency preparedness and security technology innovations. Collaborative efforts that involve stakeholder groups, such as administrators, responders and students, are the key to a safer learning environment. Investing in technology advances in 1) access control (e.g. electronic access, visitor management) and 2) communications (e.g. duress capabilities, mass notification) is the most effective way to protect people.
Allianz Parque has become one of the most modern multi-purpose arenas in Latin Americasince it was built in 2014 by WTorre Properties. The stadium is located at the same place of the old Palestra Itália Stadium with a capacity of more than forty thousand spectators. The stadium not just meets FIFA standards but was also awarded various prizes including the Master Award in the 11th edition of the Grand Prize for Corporate Architecture, the Accessibility Seal, delivered by the Permanent Accessibility Commission (CPA), and the "Environmental Management of the Surroundings of the Work" award, at the 3rd Health and Safety at Work Seconci Award. Intelligent video surveillance cameras With an eye on the market, the management of Allianz Parque constantly invests in advanced technology and new solutions to keep the project in line with the most current standards of innovation in the world. The latest are the intelligent video surveillance cameras from Dahua Technology, globally renowned video-centric smart IoT solutions and service provider. The cameras with embedded artificial intelligence systems could help the security team of the arena The cameras with embedded artificial intelligence systems could help the security team of the arena work more efficiently and productively, so that the stadium is capable of dealing with different kinds of scenarios, such as large-scale concerts, major celebrations and, especially, football matches at Sociedade Esportiva Palmeiras. Installation The installation of the entire system took around 90 days. According to the General Manager of Allianz Parque, the biggest challenge is to implement the new system with the arena in operation. "We have to carry out the replacement without any impact to the security team. But with the support of the Dahua Technology team, we are able to do the job quietly without any major changes in our initial planning,” explained Rigotto. In the project, devices with latest generation embedded artificial intelligence technologies were used. Many of their functions go beyond an image captured by an ordinary camera. Here are the camera models and technologies used: DH-IPC-PF83230-A180 - panoramic camera with four 8 Megapixel CMOS sensors, which generates a single 180-degree image of 32MP using H.265 compression technique; SD6CE245UN-HNI - PTZ-style positioning camera with various technologies, such as Starlight, which allows viewing of images in very light colors (less than 0.005lux). It has a 45x zoom system, plus an infrared illumination that can reach 250 meters away; MPT310 portable recorder, used with lapel cameras, making recording and transmission of high-definition audio and video online from the point of view of the agent close to the events; DH-IPC-HFW8242EN-Z4FD-IRA-LED - special network camera that captures human faces through AI algorithm, embedded in a chip with Deep Learning Technology. It gives the facial detection server a good deal of processing work, since the camera itself locates the faces of the video image and analyses attributes such as gender, age, facial expressions and whether it has glasses; Network camera recorder and face database manager, DHI-IVSS7016DR-4T - It works in conjunction with the CMS DSS PRO that makes the recording of the videos in the network, in addition to managing and analysing the faces pre-registered in the database of employees and service providers of Allianz Parque. User can also set a black list and the recorder will alert once unauthorised persons detected in a certain sector. The server can, in real time, work by processing the input stream at the gate opening, being able to recognise up to 40 faces per second in the Arena, detecting the faces and comparing them with the database prepared to issue field safety alerts in up to a few seconds; Video Wall, with 6 46-inch LCD screens (DHL460UCM-ES), forms a 2x3 matrix and a Dahua controller (NVD0905DH-4I-4K), which can display 4K, live images, advertisements and bulletins in a professional manner. Facial recognition system Allianz Parque now has a state-of-the-art facial recognition system, which has artificial intelligence and data analysis" "We are very proud to have this partnership with Dahua Technology. Through it, today, Allianz Parque now has a state-of-the-art facial recognition system, which has artificial intelligence and data analysis, and can be integrated into the public safety team system,” emphasised Eduardo Rigotto, General Manager of Allianz Parque. Rigotto pointed out that there are always possibilities for modernisation. "The market has changed in five years and in order to keep us in the lead as an inspiration for other spaces, we need to continue investing in new technologies," he said. In addition to providing advanced security technology, Dahua Technology also became the sponsor of Allianz Parque, as well as Prevent Senior, Banco Pine and the Allianz Seguros brand. With this, the Arena Control Center will be called CCO by Dahua Technology and there are more than 150 information boards present by Dahua Technology in the stadium to remind and protect everyone. Dahua LED panels In 2018, Dahua Technology has successfully delivered the largest RingLed 360º in Latin America, which totals 580 meters of panels for all bars in the arena. The innovative design with LED panels from Dahua Technology was developed by Digital Arena, a pioneer in the field of digital media for stadiums. "Our philosophy is to deliver large projects that make a difference not only to the customer but also to the people who will use their space," said Fabio Lopes, Channel Sales Director of Dahua Technology Brazil. Moreover, he added, "Allianz Parque is an entertainment venue where spectators aim to watch a great show with total safety and comfort. This project aims to demonstrate that Allianz Parque is one of the safest arenas in Latin America.” Stadium security Located in the city of São Paulo, Allianz Parque imposes itself between the districts of Água Branca, Pompeia, Perdizes and Barra Funda, an area of easy access, highlighted by event organisers and club fans. The space has the capacity to receive 43,700 people on game days, 55,000 for shows and 12,000 for events in the amphitheater.
Avigilon Corporation (“Avigilon”), a Motorola Solutions company, announced it was selected to help protect the security of Independent Express Cargo Ltd. (“Independent Express Cargo”) in Dublin, Ireland. Independent Express Cargo is one of Ireland’s largest pallet delivery operators, serving as a national transport network hub and full third-party logistics supplier with 25 depots across the country and over 1,000 active clients. Avigilon Control Center VMS To improve security throughout its Dublin site, which consists of 180,000 square feet of warehouses on a nine-acre site, Independent Express Cargo worked with integrator Usee.ie to install a complete Avigilon security solution. The new system features Avigilon Control Center (ACC) video management software, which provides security operators with a more efficient way to manage video from a central location. ACC software also includes advanced artificial intelligence (AI) and video analytics capabilities ACC software also includes advanced artificial intelligence (AI) and video analytics capabilities, including Avigilon Appearance Search and Unusual Motion Detection technologies. Additionally, a combination of Avigilon cameras — including the H4 Pro, the H4 Multi-sensor and the H4A Bullet with self-learning video analytics — were deployed to achieve optimal coverage while allowing security operators to leverage the benefits of real-time analytics. Incorporating advanced AI technologies By implementing a complete Avigilon security solution that leverages advanced AI technologies, Independent Express Cargo has seen an increase in operational efficiencies and improved security of its sites, assets and resources. “With complete security solutions from Avigilon, we have been able to increase the speed at which we can detect events across our sites,” said Owen Cooke, director of Independent Express Cargo. “In the fast-paced environment of transportation logistics, this has dramatically increased efficiencies so that we can continue to focus on our number-one priority: our customers.” Intelligent video security system “Avigilon AI and analytics allow our customers to improve operations while maintaining system flexibility and ease of use,” said Bernard Pender, chief executive officer of Usee.ie. “Choosing Avigilon helps us meet our client’s goal of deploying a highly intelligent and user-friendly video security system.”
The power grid is a modern engineering marvel, providing us widely available and affordable energy for not only our day to day lives, but also highly critical infrastructure elements for which we rely on personally, and as an economy. However, our reliance on the grid also makes it highly susceptible to adverse events, including physical attacks. All parts of the grid can become victims of malicious events, but substations are particularly vulnerable due to their role in power distribution and the nature of their equipment. Power utilities’ security The challenge power utilities worldwide are facing is finding an affordable solution The challenge power utilities worldwide are facing is finding an affordable solution, which can help detect, deter and facilitate an informed response to a substation security event. In the United States, this need is furthered by the physical security mandate CIP-014 issued by the North American Electric Reliability Corporation (NERC), calling for identification of security issues, vulnerability assessments and deployment of appropriate processes and systems to address. CIP-104 specifically calls for implemented security plans which include measures to deter, detect, delay, assess, communicate, coordinate and respond to potential physical threats and vulnerabilities. Fortunately, there are many solutions to help power utilities address these security concerns, one effective choice is the use of intelligent video. Intelligent video analytics solution Intelligent video, or video analytics, is a popular choice for the protection of critical facilities given its ability to detect, provide instant visual confirmation of the event and subsequent event forensics. The capability of this technology is increasing at a rapid rate, while decreases in hardware cost make such solutions affordable for owners or operators of critical bulk-power system sites. This case study looks at the issue of substation vulnerability and how to best use video to address, keeping in mind requirements of CIP-014. Such a system consists of fixed cameras, pan-tilt-zoom (PTZ) cameras, a deterrence device and data communication capability. Perimeter designs can vary based on the vulnerabilities identified, aspects of the site, budget, etc Perimeter designs can vary based on the vulnerabilities identified, aspects of the site, budget, etc. In most cases, substations can benefit from a simple “camera-following” design, which includes surveillance of a potential breach at the fence line, as well as, the ability for early detection for some distance beyond the physical perimeter. Camera-following design In a camera-following design, in addition to its own coverage, each camera is responsible for covering the blind spot of the adjacent camera. That camera is then responsible for covering the blind spot of the next camera, and this pairing continues around the perimeter until the final camera covers the blind spot of the first. This type of coverage design is very effective and affordable for locations with well-defined perimeters, such as substations. Using this layout, the video feed from the fixed cameras are then enabled with video analytics algorithms to alert when predefined conditions are met. This is done by inputting the video signal into a server, edge device or NVR, located at the site, or remote to the location. Intelligent video technology Today’s intelligent video technology provides for very specific alarm criteria Today’s intelligent video technology provides for very specific alarm criteria, which in addition to only alarming when a target enters in a specific region, can also discriminate, or classify, by the type of target: human, vehicle, etc. Furthermore, the alarm can be restricted by specific actions taken by the target, such as loitering in an area, dropping or throwing an object, more than one target entering with a valid badge swipe (tailgating) or even the speed at which a target is entering an area. This level of discrimination provides the ability to address very specific vulnerabilities, as well as, avoid nuisance targets, such as wildlife, debris or moving vegetation. Another key feature with significant value to substation protection is the geospatial aspects available with some video analytic solutions. This capability maps each pixel of video to its real-world latitude, longitude and elevation. This results in further assessment of the target, including the actual location, the real size of the target, the real speed and the current track. It also affords the opportunity to provide a real-time display of this information to the security operator through an easy to understand map-based user interface. Autonomous PTZ cameras Geospatial video analytics provide the benefit of knowing the exact map-based location of the target Another key assessment aspect of this substation protection scheme is the use of autonomous PTZ cameras. These are typically placed at the corners of the perimeter where they can service detections from multiple fixed cameras. As previously mentioned, geospatial video analytics, provide the benefit of knowing the exact map-based location of the target. Knowing the location of the target is extremely valuable to the security officer, but it is also the basis for a feature known as “slew to cue,” whereby PTZ cameras armed with video intelligence can be automatically steered to the same location for instant confirmation of the target. In most cases, “slew to cue” functionality also includes an “intelligent zoom” feature, which uses the target size information from the alarm, the PTZ camera location and the target location to adjust the zoom level of the PTZ for an instant view of the target that can provide identification details (clothing color, car type, etc) without the need for the operator to further adjust the zoom. Target detection and response Once a target is detected, a security approach leveraging intelligent video can continue with a coordinated response Once a target is detected and confirmed, a security approach leveraging the use of intelligent video can continue with a coordinated response to the event. When video analytics is applied to pan-tilt-zoom cameras, it has the ability to automatically follow a defined target, freeing the operator to take other actions, such as coordinating with law enforcement officials. This feature, referred to as camera auto follow or PTZ following, can be automatically engaged as the result of a detection event, or subsequent to a slew to cue action. The system will continue to follow the target until it reaches a pre-defined system time-out, the operator takes manual control, or the camera can no longer view the target. The system can then provide the resulting PTZ video as a component of the detection alarm, for a more complete understanding of the intrusion for the operator to review. Effective deterrence At this point, the system has detected the target, classified its type and verified it has met alarm conditions. As part of the alarm it has also included dynamic indication of its location on a map, autonomously steered a PTZ to the target to allow for gathering of more detailed target information and a PTZ has locked on and is now following the target without any required user interaction. Total elapsed time to this point in the security response is typically less than 5 seconds. Deterrence is often realised as a fence, physical barriers or access controlled gates This level of automated response addresses many vulnerabilities typically identified as part of a CIP-014 security assessment, but with minimal extra cost, it can be extended to help with the aspect of deterrence. Deterrence is often realised as a fence, physical barriers or access controlled gates. These are physical items and should certainly be included in a substation security plan. Intrusion detection However, another form of deterrence, which can be enabled through the use of intelligent video is the idea of audio talk down. This is the use of live or pre-recorded audio, which is activated upon an intrusion to deter the intruder. Different from a general alarm warning audio, audio talk down uses information about the location of the intruder and their actions to select appropriate pre-recorded audio to deter the intruder. Worse case, the understanding that they are being actively monitored may hasten their plan. Video-based security and alarm system A common concern when deploying such a system is the amount of bandwidth required A common concern when deploying such a system is the amount of bandwidth required. Substations are almost always unmanned, which means the intrusion information must have a means to get communicated back to the main monitoring location. From a design aspect, this is typically the case, but it is important to know that it is not a requirement in order to gain security benefits from a video based system. The system described in this case study has the capability to detect, assess, respond and deter without any communication back to a main command and control. Alarms, events and system actions can be logged and stored remotely for review at a later time. In reality, utilities will want to be notified and react in real time. In these cases, video systems can adjust to the available bandwidth – from a low bandwidth situation where a textual alarm is provided with an image of the detection, to a high bandwidth installation where feeds from multiple cameras can be monitored and controlled in real time. Web-based, mobile access In each case, complete alarm information, including meta data, images and video can be readily available to the security operations center, which can then take action based on their security response plan, including contacting and coordinating this alarm data with local law enforcement through web-based access or mobile phones. This case study outlines the effectiveness of utilising video analytics to address the physical vulnerabilities of a typical substation. The study outlines how recent technological advances can autonomously address assessment, response and deterrence This case study outlines the effectiveness of utilising video analytics to address the physical vulnerabilities of a typical substation. Further, the study outlines how recent technological advances allow such a solution to extend beyond the mere detection of events, but can also autonomously address assessment, response and deterrence. Key capabilities of intelligent video include: Advanced Detection – Accurate alarming based on specific targets types and actions Situational Awareness – The ability to quickly convey the critical details of a security event in an easy to understand map-based format. Real-time Target Location – Real-time location information of events and real-time location tracking of potential intruders. Autonomous Sensor Control – Automated steering of cameras to an event location and subsequent hands free video tracking of a suspect. Although each utility and substation may encounter different vulnerabilities, this case study outlines how video can be considered to address NERC guidelines for protecting critical substation assets by providing situational awareness of a potential threat and initiating an appropriate and timely response.
Maintaining an educational environment that is conducive to learning requires, at a minimum, that we keep our school children safe and secure. It’s easier said than done, given the wide range of sizes and types of educational institutions. Campus Security High-profile violence in educational environments highlight the urgency of the need for security and safety systems High-profile violence in educational environments highlight the urgency of the need for security and safety systems, and the challenges extend beyond preventing the active shooter incidents that grab headlines. In the United States, 79% of public schools recorded that one or more incidents of violence, theft, or other crimes had taken place, amounting to 1.4 million crimes. That translates to a rate of 29 crimes per 1,000 students. Security is a 24-hour challenge. Protecting schools involves deployment of a range of security and physical hardening tools. Reducing risk requires that access to school buildings be controlled, while also preserving an ‘open’ campus atmosphere that promotes a learning environment. Schools should be an inviting place for students and families, so technology solutions aimed at restricting access should be low-profile and unobtrusive. School security must also be designed in layers, or concentric circles of protection, starting at the school’s perimeter and working inward to secure individual classrooms and other internal areas. Enhancing video security at schools Video surveillance is a technology that is unobtrusive and can promote security beginning at the outermost boundaries of the school environment – at the perimeter and as automobiles drive onto school grounds. Surveillance can keep a silent and constant watch on people comes and goes. Furthermore, incorporating new artificial intelligence (AI) and deep learning technologies are increasing the real-time capabilities of video surveillance to provide early warning of a possible security threat as it enters a campus. AI and deep learning analyse the content of video feeds and provide usable information to security personnel, including analysis of trends and real-time alarms when an event takes place. Incorporating AI into video security Video feeds are analysed in real-time and alarms can be raised only if there is a problem In addition to controlling perimeter access, video surveillance incorporating AI can also provide other benefits, such as keeping watch on a school campus after hours – before and after school, or even on weekends when extra-curricular activities may be taking place. The systems can monitor traffic flow and ensure that only authorised vehicles enter an area. The benefits of AI-driven video systems also enable greater effectiveness of systems that are not being actively monitored. Video feeds are analysed in real-time and alarms can be raised only if there is a problem. Whenever a vehicle passes into a restricted area on a school’s campus, the video system captures a vehicle image and automatically provides significant data. ANPR systems Automated number plate recognition (ANPR) systems identify the license numbers of cars that enter a school’s parking entrance or gate and can match the numbers to a watch list and provide an alarm. The technology could also be used to monitor compliance with restricted areas; for example, to only allow vehicles that registered for a parking pass to park in a certain lot. A more advanced approach could involve dual identification technologies – vehicle plate and facial recognition of a driver – to add another layer of security. Video systems with illegal parking detection can define a zone for no parking at a school. If any vehicle enters the area, the camera will be triggered to collect evidence. Images are captured of illegally parked vehicles, and the system provides data about when and where it occurred, the vehicle plate number and the parking violation. Traffic cameras with DL technology Traffic cameras with deep learning technology can also identify and classify vehicles Traffic cameras with deep learning technology can also identify and classify vehicles; in effect, to distinguish between small and large vehicles and even detect a vehicle’s make, model and colour. For instance, it is possible to differentiate between cars and buses in ‘buses only’ areas. Currently such cameras are more commonly deployed on public streets and highways, but the capability is there. The system can also capture images and produce alarm data if a vehicle is driven in the wrong direction, such as into an exit-only lane or the wrong way on a roadway. Facial recognition systems Facial recognition can be used at school entrances and gates to promote security of students and staff and to identify known suspects who attempt to enter the building. ‘Blacklist alarm’ technology generates a notification if a known suspect enters. Clarity is paramount when identifying faces, and cameras that provide wide dynamic range (WDR) can offset challenges such as backlighting on a bright day when the light behind a person coming in is brighter than the ambient light inside. People counting cameras Facial recognition systems can also be used inside school buildings. A facial recognition terminal installed at the entrance of a campus building or library can be configured to ensure that only registered students and staff have access to the buildings. People counting cameras can be used in cafeterias and libraries to provide daily or monthly traffic reports and to better understand peak times and arrange workflow accordingly. Unified security solution Tedious and error-prone manual monitoring can now be replaced by more intelligent systems Feeds from all the cameras can be managed, monitored and stored in an authorised security centre, either located on a campus or in a central location that combines camera feeds from multiple campuses in a school district, for example. In general, security staff can access surveillance data in a variety of ways, via a desktop, laptop, or mobile device. Such flexibility makes the job of security personnel easier. A campus police or resource officer can view video on a mobile device while patrolling the campus. Often video surveillance systems at schools are not monitored. School security personnel have more pressing duties than sitting in front of a video monitor, and it is difficult for operators to stay alert for detailed incidents that may be shown on the screen. Tedious and error-prone manual monitoring can now be replaced by more intelligent systems that provide alarms only when there is something to see. Maximising school surveillance capabilities Systems to maximise school surveillance and security include dedicated, high-performance cameras for event capture, embedded network video recorder for event recording and storage, and a centralised video management platform to unify the system. AI and deep learning technologies automate security processes and provide useful real-time information that extends beyond video images. Deploying these technologies at the perimeter can promote better security campus-wide by preventing danger from entering the learning environment.
Round table discussion
Artificial intelligence is on the verge of changing the face of multiple industries – from healthcare to entertainment to finance, from data security to manufacturing to the cars we drive (or that will drive themselves!) In the physical security market, AI has garnered a lot of attention as a buzzword and as a harbinger of things to come. We asked this week's Expert Panel Roundtable: What security markets are most likely to embrace artificial intelligence (AI)?
In the digital age, software is a component of almost all systems, including those that drive the physical security market. A trend toward hardware commoditisation is making the role of software even more central to providing value to security solutions. Software developments make more things possible and drive innovation in the market. We asked this week's Expert Panel Roundtable: How do software improvements drive physical security?
There will be more artificial intelligence, more machine learning, video systems with more capabilities, and all of it will add greater value to our solutions. Those are among the expectations of our Expert Panel Roundtable as they collectively look ahead to the remainder of 2019. One unexpected prediction is that AI will not prove to be a game changer – at least not yet. We asked this week’s Expert Panel Roundtable: What will be the biggest surprise for security in the second half of 2019?