License plate recognition
Dahua Technology, a world renowned video-centric smart IoT solution and service provider, unveils its 2020 core product launch in Intersec Dubai, enabling and accelerating the AIoT transformation. The launch includes the main over-coax technology advancement HDCVI 6.0, AI (WizSense/WizMind) as well as Full-colour technology which enables outstanding performance under extreme low light conditions. Advanced AI capabilities A longtime pioneer in the realm of HDCVI that seeks to offer great conve...
Hikvision, the world’s supplier of innovative security products and solutions, will be exhibiting its innovations at Intersec 2020, a security exhibition in the Middle East, January 19-21 in Dubai, UAE. Emerging technologies and applications opened up new possibilities for the security industry. This year, visitors can experience Hikvision’s products and solutions for users across various industries. Multi-dimensional perception Hikvision’s multi-dimensional perception was c...
Matrix announces that it will be participating in the prestigious and the world’s premier trade fair for Security, Safety & Fire Protection Intersec 2020. The expo is in the Dubai World Trade Center, Dubai from 19th to 21st January 2020. Matrix will be launching its new door controller and exhibiting its time-attendance, access control and IP video surveillance solutions at the event. Matrix is well-known for its indigenous and innovative range of solutions for IP video surveillance,...
“Normally when we talk about trends and the future, we are actually thinking more about the present. The reason we are keen on understanding trends is because we want to know how they will affect our current business and how we should act now to avoid being outdated.” Significant changes have shaped the security industry during the last decade, and more exciting innovations should be expected in the 2020s. Emerging technologies and applications, such as multi-dimensional perception,...
On November 2019 in Stockton, California, surveillance footage found that vandals shot out glass windows and doors in many places in a small business complex (FOX40). The intruders broke in only to leave with nothing, proving their intent was solely to vandalize the property. Meanwhile, it was reported that a trio of ATM thieves struck around 9 times across many different locations inside Brooklyn and Queens within just over a month in fall 2019 (ATM Marketplace). On average, the cost of vandal...
No one enjoys parking, but it is a necessary step in a journey to an end destination. To make the process easier, access control specialists Nortech suggest that secure sites like staff car parks and parking areas in luxury apartment blocks, holiday parks and caravan sites can benefit from Nedap’s latest Automatic Number Plate Recognition (ANPR) Lumo system. The Lumo combines ANPR and access control in one single unit to create an easy to install standalone system that has the option to e...
Rekor Systems, Inc., a NASDAQ company focused on bringing smarter, faster, cost-competitive solutions to the worlds of public safety and customer experience, announced the launch of its vehicle recognition software donation program to provide eligible municipalities, law enforcement agencies, and educational facilities with free access to its Watchman vehicle recognition software. Rekor has already received applications from organisations across 31 states to provide vehicle recognition solutions. Security IP cameras Eligible organisations can apply to receive two software licenses for Rekor's Watchman software, which can be integrated into either new or existing traffic or security IP cameras for real-time alerting of known license plates. Watchman will enable the uploading of AMBER Alerts, hotlists, manual entry, and forensic searching for up to 30 days. The initiative was designed to provide organisations with valuable data to reduce crime and increase public safety. Crucial programs are cast aside because of large, upfront capital costs that can't be met with current resources" "One of the biggest barriers to implementing new technologies at the municipal, law enforcement and school district level is budget. Oftentimes crucial programs are cast aside because of large, upfront capital costs that can't be met with current resources - something we're learning quickly by the early enthusiasm from applying organisations across the country," said Robert A. Berman, CEO, Rekor. Licence plate reading cameras "Our new vehicle recognition software donation program is already a success as law enforcement agencies that have signed up are placing orders to purchase additional licenses. This program is demonstrating that public safety officials can have affordable access to this powerful crime-stopping technology." By participating in the donation program, organisations will contribute their data to the Rekor Public Safety Network (RPSN), as well as gain access to the nationwide, comprehensive law enforcement partnership. Available to any customer that opts-in, the RPSN aggregates vehicle data from customers in more than 30 states. With thousands of automatic license plate reading cameras currently in service that capture approximately 150 million plate-reads per month, the network is expected to be live by the first quarter of 2020.
AAEON Atlas helps increase safety, energy efficiency, and cut costs for Smart Cities thanks to the power of Intel Movidius Myriad X. AAEON, globally renowned provider of Smart City solutions, announces AAEON Atlas, a rugged outdoor edge node built to provide cities with flexible solutions for AI and edge computing. Featuring the Intel Movidius Myriad X, AAEON Atlas offers real-time processing for a range of Smart City applications. AAEON NanoCOM-APL board AAEON Atlas is based on the compact AAEON NanoCOM-APL board, featuring the Intel Atom x7 AAEON Atlas is based on the compact AAEON NanoCOM-APL board, featuring the Intel Atom x7, providing efficient computing with low power consumption. Designed with an IP66 rated fanless chassis, it can be installed onto any streetlamp, making it easy to quickly setup and deploy. It also features connectivity with WIFI, Gigabit Ethernet, or even 4G/LTE for flexible communication within an edge network or with a central cloud server. The AAEON Atlas also features built-in cameras and sensors for data collection and analysis. The key feature of AAEON Atlas is the embedded Intel Movidius Myriad X vision processing unit (VPU). The Intel Movidius Myriad X provides a low-power, high-performance solution for on-device AI inference. AAEON Atlas is compatible with the Intel Distribution of OpenVINO toolkit, which includes built-in features such as model optimisation, hardware acceleration and more designed to maximise the capabilities of the Intel Movidius Myriad X VPU. License plate recognition AI inference AAEON Atlas can be deployed in a wide range of edge computing applications. As an edge gateway, AAEON Atlas can connect with up to 200 smart street lights, providing intelligent control. With license plate recognition AI inference, AAEON Atlas can power applications such as Smart Street Parking or detecting traffic violations or accidents. With traffic and congestion monitoring, AAEON Atlas can optimise traffic signals in real time to help improve traffic flow. AAEON Atlas can also anonymously detect pedestrians in crowd control and flow monitoring applications. AAEON Atlas also comes with the full end-to-end support offered by AAEON. From concept to customisation to setup and deployment, AAEON provides customers with full support to ensure their Smart City solution is ready to go from day one. AI analytics “With AAEON quality and expertise, AAEON Atlas is the solution built to carry the weight of Smart City applications,” said Kevin Ting, Senior Product Manager with AAEON’s New Business Development division. “Whether as an IoT/AIoT gateway or providing real time AI analytics, AAEON Atlas uses the latest in Intel Vision Products to provide invaluable edge computing processing for Smart Cities.”
Panasonic Security Systems, a business unit of the newly formed Panasonic i-PRO Sensing Solutions Co., Ltd., is showcasing its impressive solutions capabilities at ISC East 2019, booth #435 at the Javits Centre. By combining superior imaging technologies with new AI-driven software and analytics solutions, Panasonic i-PRO Security Systems offers comprehensive, customisable solutions to meet the most diverse range of users’ specific needs. Core solutions on display include the company’s fully integrated Video Insight 7 Video Management System Video Insight 7 VMS solution Core solutions on display include the company’s fully integrated Video Insight 7 Video Management System (VMS) and MonitorCast access control platform, innovative FacePRO facial recognition software, and a wide variety of analytics. “There are many new and exciting developments at Panasonic that we will be unveiling over the next several months – the most significant being our enhanced solutions portfolio,” said Bill Brennan, Vice President of the Security Division., Ltd. AI-driven software and analytics Bill adds, “Where Panasonic was once almost exclusively recognised for our superior imaging products, our enhanced portfolio of AI-driven software and analytics enables us to provide advanced integrated solutions that move beyond detection to preventive analysis and business intelligence. This is the new Panasonic i-PRO.” Video Insight 7.5, a powerful and versatile VMS solution with innovative 3D De-warp functionality, fully integrates the company’s MonitorCast access control platform to deliver uncompromised system management and control with unlimited scalability, and no license fees when used with i-PRO Extreme cameras. FacePRO facial recognition solution FacePRO facial recognition software employs an innovative neural network with deep learning technology FacePRO facial recognition software employs an innovative neural network with deep learning technology providing fast face matching on both live and recorded video; the ability to identify and match multiple faces against 10 million records in seconds; and GDPR compliant privacy protection via end-to-end SSL communications and fully encrypted facial data. The National Institute of Standards and Technology (NIST) rated FacePRO as the ‘world’s most highly rated facial recognition engine’. A new portfolio of Intelligent Analytics including, License Plate Recognition; Vehicle Search Detection; Intruder Detection, Loitering Detection, Direction Detection, Object Left Behind Detection; Object Removed Detection; and Cross Line Detection. i-PRO Extreme IP cameras i-PRO Extreme IP cameras in a wide range of models with up to 4K/9MP resolution, and in multi-sensor, PTZ, dome, and box configurations. Highlights include the new WV-X8570N iA (intelligent Auto) 4K/33MP H.265 Panoramic Multi-Sensor Camera; WV-S3532LM iA H.265 Compact Dome Camera; and the WV-S2570L4K iA H.265 Dome Camera. The ISC East exhibit also showcases new Remote Demo Sites, with feeds from the majority of the i-PRO Extreme line-up, as well as the ability to demo FacePRO. For added versatility, the Panasonic Partner Ecosystem includes deep integration with over 4,500 cameras from 151 different manufacturers, and integration with 19 access control partners.
Panasonic Security Systems, a business unit of the newly formed Panasonic i-PRO Sensing Solutions Co., Ltd., is showcasing its impressive solutions capabilities at ISC East booth #435. By combining its superior imaging technologies with new AI-driven software and analytics solutions, Panasonic i-PRO Security Systems offers comprehensive, customisable solutions to meet the most diverse range of users’ specific needs. Core solutions on display include the company’s fully integrated Video Insight™ 7 Video Management System (VMS) and MionitorCast™ access control platform, innovative FacePRO™ facial recognition software, and a wide variety of analytics. AI-driven software and analytics There are many new and exciting developments at Panasonic that we will be unveiling over the next several months" “There are many new and exciting developments at Panasonic that we will be unveiling over the next several months – the most significant being our enhanced solutions portfolio,” said Bill Brennan, Vice President of the Security Division., Ltd. “Where Panasonic was once almost exclusively recognised for our superior imaging products, our enhanced portfolio of AI-driven software and analytics enables us to provide advanced integrated solutions that move beyond detection to preventive analysis and business intelligence. This is the new Panasonic i-PRO.” Panasonic i-PRO solutions on display at ISC East include: Video Insight 7.5, a powerful and versatile VMS solution with innovative 3D Dewarp functionality, fully integrates the company’s MonitorCast access control platform to deliver uncompromised system management and control with unlimited scalability, and no license fees when used with i-PRO Extreme cameras. Facial recognition software FacePRO™ facial recognition software employs an innovative neural network with deep learning technology providing: fast face matching on both live and recorded video; the ability to identify and match multiple faces against 10 million records in seconds; and GDPR compliant privacy protection via end-to-end SSL communications and fully encrypted facial data. The NIST rated FacePRO the ‘world’s highest rated facial recognition engine’The National Institute of Standards and Technology (NIST) rated FacePRO the ‘world’s highest rated facial recognition engine.’ A new portfolio of intelligent analytics including: license plate recognition; vehicle search detection; intruder detection, loitering detection, direction detection, object left behind detection; object removed detection; and cross line detection. Showcasing remote demo sites i-PRO Extreme IP cameras in a wide range of models with up to 4K/9MP resolution, and in multi-sensor, PTZ, dome, and box configurations. Highlights include the new WV-X8570N iA (intelligent Auto) 4K/33MP H.265 Panoramic multi-sensor camera; WV-S3532LM iA H.265 compact dome camera; and the WV-S2570L4K iA H.265 dome camera. The ISC East exhibit also showcases new remote demo sites, with feeds from the majority of the i-PRO Extreme line-up, as well as the ability to demo FacePRO. For added versatility, the Panasonic Partner Ecosystem includes deep integration with over 4,500 cameras from 151 different manufacturers, and integration with 19 access control partners.
In the new version update of VIVOTEK’s video management software VAST 2, several advanced user-centered functionalities will be unveiled. The new features include the Deep-Learning Technology Smart Search II, Cyber security Management Solution, and License Plate Recognition Integration. With this update, users can enjoy the intuitive interface of VAST 2 while achieving a higher level of management efficiency. Video Content Analytics Three new user-oriented benefits will be highlighted in VAST 2 : Smart Search II Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness. Cyber security Management Solution Offering the complete end-to-end cyber security protection, the new VAST 2 is fully integrated with VIVOTEK cameras and NVRs and becomes a powerful cyber security central management site. The protection includes Instant Alert Notifications, allowing users to receive notifications automatically, and the Cyber Risk Dashboard to visually identify common types of cyber-attacks. In addition, users can filter attack logs according to a range of criteria, making it quicker to find abnormal events and take necessary actions to minimise risks. License plate data License Plate Recognition Integration Now, the new VAST 2 is fully integrated with VIVOTEK’s LPR/ Automatic Number-Plate Recognition (ANPR) camera, IB9387-LPR. Users can see the live images with selected information, such as confidence level or black list status, which can in turn become a trigger source in Alarm Management, making it easy to intelligently manage license plate data.
Genetec Inc. (‘Genetec’), a technology provider of unified security, public safety, operations, and business intelligence will unveil its next-generation mobile ALPR (automatic license plate recognition) system at IACP (Chicago, October 26-29, 2019) on booth #5218. Powered by Intel® Movidius™ Myriad™ X VPU (Vision processing unit), the new Genetec AutoVu™ SharpZ3 is among the first specialised in-vehicle ALPR systems in the world to use Intel’s latest deep learning and computer vision technology. The deep learning capabilities in the AutoVu SharpZ3 system will enable advanced levels of innovation in in-vehicle analytics, situational awareness, and accuracy. Vehicle-based ALPR technology With the AutoVu SharpZ3, vehicle-based ALPR technology is about to enter a new phase in its evolution" “With the AutoVu SharpZ3, vehicle-based ALPR technology is about to enter a new phase in its evolution, made possible by Intel’s high-performance, low-power, deep learning VPU. By bringing powerful deep learning processing into the device itself, we are no longer limited by the constraints of traditional computer vision techniques or server post-processing.” “The new AutoVu SharpZ3 system will enable cities and law enforcement organisations to go far beyond simple license plate character recognition,” said Stephan Kaiser, General Manager of AutoVu at Genetec. The AutoVu SharpZ3 system will not only be able to improve the accuracy of license plate reads in difficult environments (such as bad weather, heavy traffic, and fast speeds) but will also be able to instantly recognise additional analytics such as vehicle type, colour, and more. Detecting unpermitted road construction With future releases, the deep learning capabilities in the AutoVu SharpZ3 will enable cities to use their ALPR equipped vehicles to address other operational issues such as detecting unpermitted road construction, discovering abandoned e-scooters or bikes in unauthorised zones, and more. Forward-thinking companies like Genetec are fulfilling the true promise of IoT in smart cities “AI is driving a powerful digital transformation in cities around the world – enabling them to be more efficient, livable and secure for their citizens. By pushing AI-powered devices and solutions to the edge, forward-thinking companies like Genetec are fulfilling the true promise of IoT in smart cities,” said Jonathan Ballon, Intel vice president and general manager, Internet of Things Group. Providing additional analytics The AutoVu SharpZ3 system also features three optical sensors in the camera to provide additional analytics such as the precise positioning of detected objects, and a modular chassis to allow users to easily add new functionalities in the field without the complication and costs of hardware replacement. The new Genetec AutoVu SharpZ3 system is expected to become available by early 2020. For more information, please visit the Genetec booth #5218 at IACP.
Video surveillance is commonly associated with security. But in most cases, it's used to record incidents and assist in investigations after the fact rather than prevent undesirable events. Artificial intelligence–powered video analytics is a highly promising trend that fundamentally changes the way things work. Extracting manageable data from a video stream can help recognise risky situations early on, minimising damage and, ideally, completely avoid emergencies. At the same time, AI significantly expands the areas of application of video surveillance beyond security systems. AI significantly expands the areas of application of video surveillance beyond security systems However, the hype around this new, trendy technology prevents the potential user from choosing quality solutions in a wide variety of products. This often leads to over-expectation, followed by a complete let-down. Can AI-powered video analytics really be the key to a technological breakthrough in video surveillance? We'll take a look at what the technology can do, what it can't, and where it can go from here. Technological breakthrough or just another bubble? It's often said that the video management software (VMS) market is becoming increasingly commoditised and widely available. A lot of products with similar features (or, at least, similar promises from the manufacturer) make it hard to choose. As a result, vendor names and reputations are turning into one of their primary selling points. Manufacturers have two choices available: get wrapped up in a price war and rely on cutting expenses, or offer a product that's truly innovative and revolutionary. Manufacturers have two choices available: get wrapped up in a price war, or offer a product that's truly innovative and revolutionary VMS developers who choose the second route are gravitating towards creating products that use artificial intelligence based on neural networks and deep learning. Emerging two or three years ago, the AI video analytics market is experiencing a boom in growth. This new tech wave has stirred the still, stagnant backwaters of the VMS world and gave small, ambitious developers something to be optimistic about. It seems they now have a chance to emerge as market leaders in the next few years. However, the hype around this popular trend is raising reasonable concerns among experienced security industry professionals. These concerns come from clients looking for a solution to their problems, and from suppliers building a long-term development strategy. This largely resembles another tech bubble, like the one built up around pre-AI video analytics and burst when it became clear that the sensational promises around it were pure marketing hype (and rather unscrupulously so). However, there are a lot of factors that indicate that AI-powered video surveillance systems aren't another bubble. The three factors The first — and the main one — comes from systems already in place on customers' sites. They fulfill the same promises made during the previous bubble by hotheads in a rush to teach the computer to analyse events in real time using a classical algorithmic approach. The second is the fact that this new technology has seen investment from not only software and cloud startups, but also established VMS developers. Even giants like Intel, which has presented a full line of neural network accelerator hardware and a set of software tools that streamlines working with them, specifically in the field of computer vision. This new technology has seen investment from not only software and cloud startups, but also established VMS developers The third factor lies in artificial intelligence's abilities. AI plays chess, drives cars, and works wonders in many other fields. Why shouldn't it be applied to video monitoring and analysis? What AI can do Just what can artificial intelligence do in video surveillance systems at this stage of development? It can't quite analyse a sequence of events and understand the "logic" of what's happening in the cameras' field of view. At least not yet. But it's probable that AI will learn to do this in the next few years. But neural network analytics can already detect, classify, and track objects very well, providing high accuracy even in busy scenes. Artificial intelligence can be used in the real world to: Detect smoke and flames for early fire warning at open areas (forest, open warehouse, parking lot, etc.) Distinguish people/vehicles from animals and other moving objects, e.g. to protect the perimeter of a nature park from poachers Distinguish a person in a helmet and protective clothing from a person without them to prevent accidents at a dangerous production facility or construction site Count objects of a specific type, e.g. cars in a parking lot, people in the sales floor, wares moving on a conveyor belt, etc. in non-security-related solutions Those are just a few examples. After training a neural network, it can tackle other, similar tasks, too. Generally, a neural network trained in specific conditions isn't replicable. In other words, it won't work as well under different conditions. On the other hand, developers have learned how to quickly train AI for the needs of a specific project. The most important requirement is having enough video footage. Somewhat apart from that is the use of neural networks in facial and automatic number-plate recognition. This is an example of reproducible neural networks (train once, deploy everywhere), which makes them more appealing commercially. If non-reproducible neural networks have only recently become economically feasible due to the rapid evolution of specialised hardware (aforementioned Intel's product, for example), then the use of AI in facial recognition and ANPR has been well established for a long time. The use of AI in facial recognition and ANPR has been well established for a long time Another kind of AI analytics that we'll explore is behaviour analytics. This function, probably more than any other, is bringing video surveillance systems closer to understanding what's happening on camera. Its potential is vast. How behaviour analytics works From a technical point of view, behaviour analytics combines artificial intelligence with a classic algorithmic approach. A neural network trained on a multitude of scenarios can determine the position of the bodies, heads, and limbs of humans in the camera's field of view. The algorithm outputs an array of data containing descriptions of their poses. Conditions can be set for data to detect a specific pose, such as raised hands, prostrated or crouching persons. Developers can use this to quickly create new detection tools to identify potentially dangerous behavior specified by a government or business client. There's no need for additional training of the neural network. How behaviour analytics can be deployed Someone crouched down next to an ATM could be a technician, CIT guard, or burglar. Bank security should be notified in any of the cases. A person in shooter position, together with a bank employee or cashier with their hands raised could indicate a robbery. The system can be configured to automatically send alerts with a surveillance snapshot to the police so they can assess the threat and take action if needed. It's vital that the police receive the alert, even if the employee is unable to activate the alarm. In many cases, attention should be directed to a prostrate individual. This could be somebody who needs immediate help, or it could be someone sleeping in an inappropriate public place, for example, a 24/7 ATM space. Behavioural analytics can also be used to ensure workplace safety. For example, tracking whether employees are holding the handrails when using the stairs at a manufacturing facility or a construction site. What now? Behaviour analytics can be deployed wherever your clients' imagination takes them. With this feature, practically any pose that indicates potentially dangerous behaviour can be detected. Timely response to an alarm helps avoid material damages or, in other situations, casualties. Practically any pose that indicates potentially dangerous behaviour can be detected An area of potential development for behaviour analytics is the ability to analyse a sequence of poses by the same person or a combination of poses and relative positions of several individuals. That will be the next level of evolution in AI's use in video surveillance: moving from "detecting" to "understanding" behaviour in real time. In its most basic form, this type of analytics can be deployed to detect deviations from the search procedure in correctional facilities when a person being inspected must assume a pre-defined sequence of poses. A more advanced form allows it to detect any kind of abnormal behaviour, such as a brawl breaking out in a public space. Ideally, behaviour analytics can predict dangerous situations based on nearly imperceptible cues gleaned from collected statistics and a Big Data analysis. At the moment, this sounds like pure fantasy, but what seemed like whimsy not too long ago is now a reality with AI. It's already beaten humans in chess and the game of Go (Weiqi). Will artificial intelligence be able to outplay humans at charades one day? It's entirely possible that we'll soon see for ourselves.
According to the reports of not-for-profit organisation Gun Violence Archive, the year 2018 has seen 323 mass shooting incidents as of November 28 in the United States. This number is 346 for the year 2017 and 382 for 2016 (more statistics are available here), with “mass shooting” defined as cases where four or more people are shot or killed in the same time period and location. While definitions of mass shooting vary with organisations in the US, the count of over 300 incidents per year, or about once per day on average, is simply alarming. It raises public safety concerns, ignites debates and protests, which in turn lead to public unrest and potentially more violence, and increases costs for governments from the regional to federal level. Most importantly, the loss of lives demands not only improvement in post-incident handling and investigation, but also new prevention technologies. Gunshot detection solutions AI weapon detection offers a more efficient alternative to prevent active shooting There are several gunshot detection solutions in the security market, commonly used by law enforcement agencies to detect and locate gun fires. These systems function based on acoustic recordings and analyses and often in combination with signals detected by sensors of the optical flash and shockwave when a gun is fired. However, gunshot detection by nature dictates that the law enforcement can only react to a shooting incident that has occurred. With fast action, law enforcement can prevent the incident from escalating, but lives that are lost cannot be recovered. With the development of artificial intelligence in object recognition, AI weapon detection offers a more efficient alternative to prevent active shooting: AI can visually detect guns based on their shapes before they are fired. The AI is trained to recognise firearms in different shapes, sizes, colours, and at different angles in videos, so that the AI weapon detector can be deployed with existing cameras systems, analyse the video feeds, and instantly notify security staff when a gun is spotted. Comparison of the advantages for law enforcement and public security agencies Legacy gunshot detection using sensors AI weapon detection Reactive measure: detect after guns have been fired Proactive measure: detect before guns are fired Time to action: within 1 second Time to action: within 1 second Unable to provide visual data about shooter(s) Can provide data about shooter(s) based on the camera recording: clothing, luggage (backpack, handbag, etc.), facial features, vehicle Unable to track the location of the shooter(s) before and after shooting because of the lack of sound Can track the shooter(s) using AI Person & Vehicle Tracking, AI Face Recognition, and AI License Plate Recognition False detection caused by similar sound such as fireworks and cars backfiring Minimal to no false detection, as AI can distinguish different types of handguns and rifles from normal objects (umbrella, cellphone, etc.) Require physical deployment of gunshot detection sensors Can be used with existing camera systems, do not require special hardware Complicated to deploy, require highly trained professional Easy to deploy as an add-on to existing video surveillance system - Can integrate with gun-shot detection to create a “double knock” audio and video active shooter alert system Gun-shot detection advantages In addition to advantages for law enforcement and public security agencies, this type of visual-based pre-incident detector has three-fold advantages for the public: Save lives by spotting the shooter before the shooting event. Minimise the chaos entailing an incident: panic and chaos caused by a shooting incident often adds to injury, as people run, fall, trample on others… With an AI weapon detector, when a gun is spotted, the system sends an alert to security staff, who can quickly control the situation in an organised manner and apprehend the intending shooter. Can be added as a SaaS (Security as a Service) component to small business and home surveillance systems, e.g., intrusion detection alerts (home invasion incidents with firearms number over 2500 per year nationwide). For a complete active shooter detection system, video-based AI detector can operate in conjunction with gunshot detectors for enhanced security. Traditional X-ray based weapon detection or metal detection entrance systems are complicated and expensive; with AI video technology, active shooter detection system can be cost-effective, and after all, what price tag can one put on a life? Written by Paul Sun and Mai Truong, IronYun
It amazes me how in a few short years security systems have gone from simple, dumb cameras witnessing events to intelligent eyes, ears, speech and touch solutions that boost situational awareness far beyond human capabilities. It seems the only senses missing from the equation now are smell and taste. And who knows, someone might be working on those in a lab somewhere right now. But what’s really fascinating to me is how the Internet of Things (IoT) has opened a world of possibilities for transforming security technology into something new yet again. With IoT we’re able to push and pull nuggets of intelligence from sources we never considered before: environmental sensors, pressure plates, door lock timers and much more. It’s helped us break through the constraining mindset that security systems are strictly single-purpose. With interconnectivity at the core, we’re starting to imagine myriad ways to apply these tools to challenges outside the realm of security. Here are just a few examples. Flood management assistance Network camera adds another dimension and timeliness to flood management by helping responders investigate remotely As recent hurricanes and floods have shown, water damage can be devastating to a community. That’s why some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem. Water sensors collect data from multiple sources such as rain gutters, sewer systems and pump stations, in order to monitor fluctuations in water levels and water quality. If an alert triggers, having a network camera in proximity to visually verify the situation helps responders determine the best course of action. For instance, if multiple water detection sensors trigger alerts simultaneously or sequentially over a large area it’s probably due to natural runoff from recent rainfall. But without eyes on the scene, how can you be sure? Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely. It might be a fire hydrant spewing water, a water main break or even a chemical spill. With video streaming live to the command center, staff can remotely inspect the area, determine the cause of the trigger and decide whether remediation is required, thus avoiding the expense of dispatching an investigative crew to a non-event. Some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem Environmental control assistance Data centers house the lifeblood of a business so it’s no wonder why companies work hard to protect them. We’re all familiar with the integration of network cameras with access control systems to visually verify who is actually using the credentials. Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely But there’s another aspect to protecting data centers and that’s environment control. Data centers need to maintain optimum humidity and temperature for the racks of electronics. When environmental sensors in the facility detect out-of-norm ranges technicians can remotely command a network camera to zoom in on the gauges and help them determine whether remediation might be necessary. Coupling network cameras with other sensors in the data center can provide visual confirmation of other conditions as well. For instance, every time a data rack door-open-close sensor detects an event it can trigger the camera to pan to the location and stream video to security. Some data centers employ weight sensors at the doorway to weigh personnel and equipment as they enter the room and when they exit to ensure no additional hardware is being taken out of the facility or left inside without permission. Any discrepancy would trigger the camera to zoom in for a close-up of the individual’s face and send a visual alert and ID information to security. Roadway management and parking assistance Network cameras have long played a part in city-wide traffic management. Adding video analytics and integration with network sensors, makes those cameras that much smarter and versatile. They can detect cars driving in bike lanes or driving in the wrong direction and capture license plates of offenders. Their ability to detect anomalous traffic flow patterns can be integrated with car counting sensors, networked electronic road signs and traffic light systems to automatically redirect vehicles to alternate routes. They make great, intelligent parking lot attendants, too. Working in conjunction with weight sensors network cameras can count vehicles coming into and leaving a lot or garage and verify when the facility has reached capacity. License plate recognition and video analytics can be used to ascertain that a vehicle entering a reserved parking space doesn’t match the credentials and vehicle attributes in the database. With the addition of noise sensors and audio analytics, network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds – breaking glass, car alarms, gun shots, and aggressive speech – and triggering a visual alert to first responders. Network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds and triggering a visual alert to first responders Shopper experience assistance In the early days of online shopping, e-tailers designed their sites to replicate the in-store customer experience. In an ironic turn of events, today brick-and-mortar stores are trying to mirror the online shopping experience. To do so, they’re turning their security systems into adjunct sales assistance. With network video and audio system automation they can recognise and acknowledge loyal customers with personal greetings. Retailers are applying people counting video analytics to checkout activity to create rules-based consistency in customer service With heatmapping analytics they can measure how much time a customer spends in a specific department or observe how they walk through the aisles of the store. They can track shopping behaviors such as items looked at that made it into the cart or didn’t, or whether a customer actually checked out or left the merchandise behind. By capturing these shopping patterns and trends retailers can shape a more positive, more profitable customer shopping experience. For instance, integrating video analytics with point of sale systems and RFID sensors on merchandise tags can result in timely alerts to sales associates to recommend additional merchandise. This is a case of emulating how e-tailers let the customer know that other customers who bought X often also purchased items Y and Z. Or to avoid disappointing customers due to stock outages, retailers are linking weight sensors and video analytics to make sure their shelves are well-stocked and if not, quickly alert associates to what items need to be restocked. Capturing business intelligence Retailers are also using video cameras to monitor checkout queues and trigger automated announcements over the public-address system, closed system such as smartphones or other wireless communications devices that checkers are needed rather wait for a person to call for backup. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs They’re applying people counting video analytics to checkout activity to create rules-based consistency in customer service. While retailers will always use their surveillance camera for loss prevention, they’re finding that integrating traditional technology in new ways can yield even bigger returns. Linking network video surveillance, video analytics, network communications system and sensors with point-of-sale systems and customer loyalty databases, retailers are capturing the business intelligence they need to get back in the game and make brick-and-mortar a greater overall experience than online shopping. A natural cross-over technology This trend towards integration has forever changed how organisations view their investment in security technology. The intelligence and versatility of a tool that can see, verify and analyse what’s happening in real-time is spurring users to tap its cross-over potential for a host of other tasks that could benefit from more astute situational awareness – everything from manufacturing and equipment maintenance to logistics, inventory control and beyond. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs. How we capitalise on that connection is only limited by our imagination.
Security’s intersection with consumer electronics is on view at CES 2020, the world’s largest technology event, Jan. 7-10 in Las Vegas. The giant show features more than 170,000 attendees, 4,500 exhibitors and 1,100 industry thought-leaders featured on the CES stage. A range of technologies will be on display, from artificial intelligence (AI) to 5G, vehicle technology to AR/VR (augmented and virtual reality), robotics to home automation. Security plays a prominent role, too.The impact of this event for the smart home could be about delivering home analytics and enhancing privacy" Smart home market on the forefront The smart home market is a major focus. “For the smart home market at CES this year, we expect to see numerous announcements regarding home awareness,” says Blake Kozak, Senior Principal Analyst at IHS Markit. “This will include brands offering up additional analytics for consumer security cameras with a focus on edge-based solutions.” “The impact of this [event] for the smart home could be about delivering home analytics and enhancing privacy through cloudless architectures and new electronic door lock approaches,” he adds. An example of cloud analytics is the Resideo Home app, introduced in December, which will make whole-home monitoring possible for four critical networks of the home – water, air, energy and security. Resideo promises a “simplified and integrated smart home experience.” Video is also prominent at the show. “For cameras, we can expect to see more cameras focused on the outdoor space and possibly new form factors for video doorbells,” says Kozak. Familiar security industry brands exhibiting at CES 2020 include ADT, Ring, August Home and Yale (both part of ASSA ABLOY), Bosch and Alarm.com. Focus on Cybersecurity In 2020, companies will continue to focus on solutions for protecting consumer data" Cybersecurity is an aspect of many of the devices on display at CES. “Device security and data privacy play a key role in the adoption of connected devices,” says Elizabeth Parks, President, Parks Associates. “Consumer security concerns for smart home products will continue to be a barrier to adoption in the U.S. and Europe, and these concerns can actually intensify with device adoption-71% of U.S. smart home households are concerned about cybersecurity. In 2020, companies will continue to focus on solutions for protecting consumer data. One big area of interest is protection on the network router, providing whole home solutions, which are very appealing to consumers.” “At CES we will see the traditional players introducing new DIY (do-it-yourself) products, as well as new players announcing new product features, services, and partnerships,” Parks adds. Smart access control Smart locks will be among the security products at CES 2020. For example, PassiveBolt, a lock company, will show the Shepherd Lock, a touch-enabled smart lock with enhanced security through sensors and AI. The add-on lock converts existing locksets into touch-activated devices. Another lock manufacturer is Kwikset, whose door locks and door hardware include Wi-Fi-enabled smart locks, Bluetooth-enabled smart locks, keyless and keyway-less locks and connected home technology. Video doorbells, including industry-innovator Ring, have been a hit in the consumer market. At CES, Ring will expand the mission to make neighbourhoods safer by creating a “Ring of Security” around homes and communities with a suite of home security products and services. The “Neighbors by Ring” app enables affordable, complete, proactive home and neighbourhood security. Homeguard offers a range of affordable CCTV solutions for home and small business DIY CCTV demonstrations DIY security systems are another market. Homeguard is a leading DIY consumer brand offering a range of affordable CCTV solutions for home and small business, including wired and wireless CCTV kits, smart cameras, home alarm systems and wire-free HD CCTV kits. Swann Communications is also at the forefront of surveillance and monitoring with new products developments including wire-free HD cameras and doorbells, professional CCTV video surveillance systems, and 1080p full HD systems with “True Detect” heat and motion sensing. AVTECH, and subsidiary YesGo Tech, will demonstrate a compact Wi-Fi home security set, a series of special cameras with face recognition, thermal detection and license plate recognition, customised central management software and a university ID tag that is compatible with access control, OEM and ODM opportunities. Security and automation solutions D-Link’s home networking, security and automation solutions will help consumers connect, view, share, entertain, work and play. SECO-LARM, manufacturer of a Room Occupancy Monitor that shows whether a room is in use, has a line of keypads and proximity readers with built-in Bluetooth for convenient access. Another smart home security solutions provider, Climax Technology, integrates wireless security, home automation, energy management, home emergency monitoring and live visual monitoring. Personal safety mobile application Manufacturers are positioning outdoor cameras as deterrents to theft before a burglary happens" WaryMe designs and develops a personal safety mobile application to improve a user’s security in public places, schools, transports and companies by addressing major risks such as terrorism attacks, intrusion, fire and even industrial accidents. An all-in-one mobile application integrates alerting, crisis management and mass notification features. “Market players are looking to expand beyond established smart home devices like smart thermostats and networked cameras to products like smart water leak detectors, smart pet feeders, and smart air purifiers,” says Elizabeth Parks. “Manufacturers are positioning outdoor cameras as deterrents to theft before a burglary happens. This trend is part of a broader security marketing effort to extend the perimeter of home security beyond traditional home access points.” “Familiarity with smart home devices lags behind familiarity with smart entertainment products; it even lags that of smart speakers, which are quite new in the market,” adds Parks. “In 2020, we will see players working to advance the visibility and marketing around device integration, and specifically focus on use case scenarios around safety, security, and convenience, which have always been the primary drivers of adoption of these types of products.”
Artificial intelligence (AI) is expanding the capabilities of license plate readers and vehicle identification systems. Within a smart/safe city scenario, automatic license plate reader solutions are used to help analyse real-time video streams for site surveillance, inspection and public safety, and to offer actional information through a network of connected camera systems. Outside of law enforcement, this can include other public safety initiatives such as traffic tolls, car counting, and parking security. Vehicle recognition systems Rekor Systems is a provider of vehicle recognition systems in more than 60 countries Using AI to enable video cameras, Rekor Systems is a provider of vehicle recognition systems in more than 60 countries. Applications include security and surveillance, public safety, electronic toll collection, brand loyalty, parking operations, banking and insurance, logistics, and traffic management. AI allows Rekor’s products to recognise and read license plates, while also providing information about each vehicle, including colour, make, year, and model. Rekor’s products are powered by OpenALPR software, an AI-based solution that enables any IP (internet protocol) surveillance camera to scan license plates and provide vehicle data including tag number, make, model, and colour in real time with 99% accuracy, according to the company. Rekor’s products are powered by OpenALPR software Integrated solutions “Rekor's software started as an open source project, and we have done our best to keep the commercial software as open as possible,” says Rod Hillman, Chief Operating Officer, Rekor Systems. “One of the challenges we see with others in our space is a tendency to ‘close off’ and ‘silo’ their solutions. Our goal is to make it as simple as possible to deploy, integrate, and ultimately use.” Rekor has numerous application programming interfaces (APIs) and ways the solution can be integrated into partners' solutions with a software development kit (SDK). Rekor solutions can be purchased directly or through a worldwide partner network of integrators, wholesalers, and within integrated solutions such as Nokia's smart city platform. Electronic toll collection Rekor’s solutions have viable applications within multiple markets While many systems are hardware-based, Rekor’s software-as-a-solution offering can turn an IP camera into an automatic license plate reader. Rekor’s solutions have viable applications within multiple markets, including law enforcement, security and surveillance, electronic toll collection, parking operations, banking and insurance, logistics, traffic management, and customer experience. “Rekor offers a cost-effective alternative to traditional LPR systems with a much higher accuracy rate at 99% allowing more cameras to be present and active at any given time,” says Hillman. “Traditional LPRs need someone to go through hours of footage to find what they are looking for while Rekor’s technology will send alerts in real time, resulting in much quicker response times.” Move Over Camera mounts onto roadside worker’s vehicles to capture ‘Move Over’ violations Two-part authentication Rekor’s products include: NUMERUS, a cloud-based solution for high-volume vehicle recognition, designed to reduce costs and increase efficiencies for the electronic toll collecting industry. Two-part authentication instantly identifies the vehicle’s make, model, colour and body type along with the license plate read. Machine-learning-enabled software recognises license plates from all 50 U.S. states, in addition to plates from more than 70 countries on six continents. Edge, an all-in-one camera and vehicle recognition system that instantly reads vehicle license plates, along with the vehicle’s make, model, colour and body type. Move Over Camera, which mounts onto roadside worker’s vehicles (police, tow truck, etc.) to capture ‘Move Over’ violations. ‘Move Over’ laws state that vehicles must move over one lane and/or slow down if they cannot move over to avoid incident while roadside workers are in the shoulder lane. The camera can detect what lane vehicles are in and how fast they are moving. Violators are flagged in the system for law enforcement’s review.
The basic need for public safety is one of the biggest forces driving the adoption of smart city solutions: approaches that seek to solve urban challenges through technological means. The thinking behind these initiatives is that with enough internet connectivity and real-time data, surely environmental, social, economic, and public health issues should become more manageable. However, just adding more technology is not the whole answer. Although technology is necessary for an urban area to transition in to a safe and smart city, technology alone isn’t sufficient. Truly smart cities are savvy cities and that includes how they employ software, sensing, communications and other technologies to meet their needs. Cities need solutions that help find what you need and convert the ‘too much information’ into ‘actionable intelligence’ Some of those initiatives, however, like red light cameras or computerised flight passenger screening systems, have amounted to little more than ‘security theater’, which might waste limited resources and further delay the smart city transition due to over-hyped solutions and unrealistic projected return on investment. In other words, technology doesn’t necessarily result in more safety. But does this mean we are also more likely to quickly find what we need? Cities need solutions that help find what you need (e.g. a missing child or a suspect) and convert the ‘too much information’ into ‘actionable intelligence’. Data capture form to appear here! Better connectivity promotes safety There is a growing shift towards younger generations wanting to live in the city where they have access to public transportation, restaurants and entertainment. They also expect to live in a safer environment, and this is where the smart city approach comes into play with the introduction of WiFi in parks and public spaces, along with surveillance systems. These two solutions and services can now sit on the same network, thanks to better connectivity options and interference free solutions, such as mmWave wireless radios. Younger generations expect to live in a safer environment, and this is where the smart city approach comes into play with the introduction of WiFi in parks and public spaces, along with surveillance systems For example, Siklu Inc., a provider of mmWave wireless solutions, announces Smart City deployments based on Siklu’s broad E-band and V-band product portfolio previously reached, and now have likely surpassed, a milestone of 100 cities installed. Smart Cities, which were initially defined as municipalities connecting low data rate sensors for water, gas and more, have been evolving to demand high-capacity connectivity at gigabit-per-second speed. This high-bandwidth network infrastructure is needed to support new applications such as video security, public Wi-Fi backhaul, and private city network deployments. Linking AI and smart cities Dubai is an example of how artificial intelligence and smart city projects have become intrinsically linked. Under the leadership of His Highness Sheikh Mohammed bin Rashid al Maktoum, authorities in Dubai have set out to “make Dubai the happiest city on Earth” by adopting cutting-edge smart city initiatives. Dubai Police has launched a range of public safety initiatives including Smart Police iOS apps, traffic accident and location systems, and SOS apps for wearable devices. Dubai Police shows how artificial intelligence can power new Robocop prototypes – unarmed, life-sized patrolling robots carrying facial recognition software and automatic license plate recognition (ALPR). Authorities in Dubai have set out to “make Dubai the happiest city on Earth” by adopting cutting-edge smart city initiatives NVIDIA’s Metropolis™ intelligent video analytics platform is paving the way for the creation of AI cities. Metropolis Deep Learning makes cities safer and smarter by applying deep learning to video streams for applications such as public safety, traffic management and resource optimisation. More than 50 NVIDIA AI city partner companies are already providing products and applications that use deep learning on GPUs. “Deep learning is enabling powerful intelligent video analytics that turn anonymised video into real-time valuable insights, enhancing safety and improving lives,” said Deepu Talla, vice president and general manager of the Tegra business at NVIDIA. “The NVIDIA Metropolis platform enables customers to put AI behind every video stream to create smarter cities.” Smarter access control in cities Advanced software suites can provide access to all operations performed by users A smart city is one that uses information and communication technologies to increase operational efficiency, share information with the public and improve both the quality of government services and resident welfare. Smart access control is an important step forward in providing technologically advanced security management and access solutions to support the ambitions of smart cities and their respectively smart industries. With high volumes of people entering and exiting different areas of the city, it is important to be able to trace who has been where, when and for how long. Advanced software suites can provide access to all operations performed by users, including a complete audit trail. This information is often used by business owners or managers for audits, improvements or compliance.
BI-City Tokyo is located in Nur-Sultan (Astana), the capital city of Kazakhstan. It is a high-end residential complex of BI Group – a renowned construction holding company in the Kazakhstan real estate market. At present, three apartment buildings with public areas and more than 400 apartment units have been completed. Aiming to create modern high-end intelligent buildings and residential areas, the BI Group wanted to upgrade the existing analog video intercom system of BI-City Tokyo. Replacing analog intercom system The original analog intercom system in this community is outdated and cannot meet the diverse security requirements of high-end residential areas. First, the original analog intercom does not support retaining images and leaving messages. Second, this system only supports access cards to open doors, which is inconvenient for residents in case they forgot their card. Third, the original system cannot add IP cameras to monitor public areas such as children's playground, fitness areas, etc. Fourth, the cold winter temperature in Nur-Sultan requires high-performance equipment capable of operating in extreme environments. Faced with the abovementioned challenges, BI Group was also looking for a trustworthy brand that can provide not only modern smart system but also technical support and reliable after-sales service. Meeting all the above requirements, Dahua smart residential solution was chosen to be the security solution provider of BI-City Tokyo. Dahua Smart Residential Security Solution The complete solution deployed more than 300 pieces of Dahua equipment, including IP cameras The complete solution deployed more than 300 pieces of Dahua equipment, including Indoor Monitor, Apartment Outdoor Station, IP Camera, Access ANPR Camera, Video Recorder, etc. The solution supports two-way audio intercom, real-time video and messaging feature. In addition, a variety of door opening methods were also implemented: door opening via remote calling, door opening using access card, and remote door opening via APP. Additionally, all the equipment can be visualised and integrated in the Dahua DSS platform for centralised management, operation and maintenance. Moreover, the temperature in Nur-Sultan can reach up to negative 40 degrees in winter season. This requires high-performance outdoor devices featuring dust and water resistance, and explosion-roof capability. In response to this pressing challenge, Dahua apartment outdoor station VTO1210C-X-S1 and access ANPR camera ITC237-PW1B-IRZ that support wide working temperature were installed at the entrance of the apartment building for a more effective visitor and vehicle management. ANPR and IP cameras installed When a visitor arrives at the entrance of the apartment building and dials a resident’s room number through the Dahua apartment outdoor station, the camera installed at the entrance will synchronise the video with the visitor’s image captured in the resident’s indoor monitor. Once the visitor’s identity is confirmed, the resident just needs to press the button on the indoor monitor to open the door remotely. With Dahua app, users can even answer calls and open doors remotely when they are out for work or traveling. As for vehicles, Dahua access ANPR camera ITC237-PW1B-IRZ is designed for extreme temperature environments (temperature range of -40°C to +60°C). With built-in intelligent video analytics, the camera has the ability to detect and recognise moving vehicle's plate number within low speed. Vehicle tracking and identification For both approaching and departing vehicles, the access ANPR camera takes a snapshot of the number plate and vehicle overview picture, as well as records corresponding surveillance videos. By setting a whitelist, the camera can automatically control the barrier or gate to open if a plate number recorded in the whitelist has been recognised. The public areas including children's playground, fitness areas, as well as the lobby are covered by 2MP IR Mini Dome Network Camera IPC-HDBW4231E-ASE, 2MP and 3MP IR Mini-Bullet Network Camera. The Starlight Ultra-low Light Technology of IPC-HDBW4231E-ASE offers industry-leading light sensitivity, capturing colour details under low light condition up to 0.002lux. The camera uses a set of optical features to balance light throughout the scene, resulting in clear images in dark environments. Integrated management platform Dahua smart residential solution provides an integrated management platform for the personnel of BI-City Tokyo Dahua smart residential solution provides an integrated management platform for the management personnel of BI-City Tokyo. It assists in the remote and visual management of the property and improves the services and facilities they offer. Security guard at the entrance is not needed anymore to manage entering and exiting vehicles, which saves labor costs, reduces the waiting time of vehicles and improves traffic efficiency. In addition, the all-round monitoring of the public areas within BI-City Tokyo greatly improves the safety level of the entire community. The video intercom system of the building provides a variety of convenient door opening methods, enhancing the resident’s living experience. IP video intercom solution “We adopted analog solution in the first phase. From the second phase, we replaced all of analog system with Dahua’s IP video intercom solution. We hope that Dahua will help us complete the solution planning of the three, four, five, and six phases,” said Arman Lesbekov, General Manager of BI Group. Dahua Technology is an internationally renowned video surveillance and security solutions provider with more than 6000 professionals in their R&D team, dedicated to providing cutting-edge products in technologies like AI, IoT, Cloud services, video, cyber security, and software reliability with high quality and performance. Video surveillance systems expert Since 2014, Dahua has ranked second in the global video surveillance equipment market according to an IHS report, and in 2017 Dahua ranked third in the A&S International "Security 50". The company believes in investing and building strong R&D capabilities for new technology and innovation.
Videonetics has supported Nagpur in achieving the Smart City status, under the Smart City Mission of Government of India, by securing its roads with an AI & DL powered Intelligent Traffic Management Solution. The solution has helped the city to solve its traffic enforcement problems such as red light jumping, zebra crossing/ stop line violations, over speeding violations, tracking of suspect/ stolen vehicle, and generating e- challan/ e ticket for violators as per the Motor Vehicles Act. It includes applications like Automatic Number Plate Recognition (ANPR), Red Light Violation Detection (RLVD), Integrated eChallan Management Software. With the successful implementation of the solution, Nagpur has witnessed greater traffic discipline and substantial decrease in traffic violations. More efficient traffic management has helped the city achieve its Smart City objectives. Intelligent Traffic Management System Nagpur has witnessed a rapid rise in the number of vehicles, and also in traffic violations and road accidents Over the last few years, Nagpur has witnessed a rapid rise in the number of vehicles, and also in traffic violations and road accidents. The city administration recognized the need to enhance road safety, and the traffic police department sought a solution that would act as a true decision support system to regulate and analyze vehicle movement on roads. In addition, the police expected the solution to assist them in maintaining law and order, to identify frequent offenders as well as stolen/ suspect vehicles, as and when they enter the city. With the city needing to enhance its road safety even as it was expanding, Videonetics designed a solution based on its Intelligent Traffic Management System that provides continuous monitoring of the traffic situation, records traffic violations at intersections, and triggers necessary penal action against violators. Manage real-time alerts 24x7 real-time monitoring: Today, the city has ANPR and RLVD systems spread across 120 traffic junctions, to track and record license plate of any type of vehicle, as well as detect red light or stop line violation at intersections. Nearly 1,300 IP cameras have been deployed, to monitor vehicle movement and detect suspect vehicles simultaneously. Violation prosecution: Videonetics’s Integrated e-Challan/e-Ticket Management Software has been assimilated with Regional Transport Office database, to fetch the details of a vehicle and its owner. Once a violation is detected, an e-challan is issued to the offender. The e-challan also maintains a record of all payments, both received and pending. A centralized security view: The solution provides the police a bird’s eye view of the traffic junctions and city’s roads, from the Command & Control Centre. From the unified interface, security operators can view, manage real-time alerts and respond them swiftly. City surveillance system Prior to the installation of Videonetics’s Smart City solution, Nagpur city relied on on-site traffic monitors/ police to catch offending vehicles. However, the recent implementation of the solution has eliminated the need for physical deployment of traffic police at each junction. Videonetics’s solution helps maintain the security on city’s roads by detecting and recording traffic violations with accuracy, resulting in irrefutable evidence for local authorities. In addition, citizens have started obeying traffic rules, resulting in an over 50% reduction in traffic violations. The open architecture of the solution not only allows the city to continue adding more applications to make its traffic management more robust, but also integrate with the city surveillance system in a single unified interface, to address security concerns with a holistic approach.
Haier Group, China’s home appliance manufacturer, has built a new industrial park in Russia to cope with the growing demand in Europe. Covering a total area of about 124.9 hectares, the new site is located in Naberezhnye Chelny, an important industrial city in Tatarstan, Russia. With the gradual completion of its factories in the industrial park, Haier is looking for an intelligent system to realise multiple tasks within the whole industrial park. First, to prevent theft and timely detect people climbing over the perimeter fence. Second, to provide comprehensive monitoring in the whole industrial park and inside the factory which includes: monitoring of production line and employees’ smoking behaviour during working hours at office areas; efficient employee attendance; vehicle identification at the entrance and exit areas of the industrial park; and the overall management of all devices, data report output, etc. Intrusion detection The Dahua Russia team designed a complete smart solution incorporating AI cameras, perimeter cameras, ANPR system, access control, time attendance system, face recognition barrier, DSS PRO platform and EVS storage for Haier’s industrial park. Notably, all of the devices were integrated in one central management platform, making it easier for operators to control and manage the system. In addition, the system also supports further device upgrade based on customer’s future plan for the next several years. AI-powered perimeter protection function can greatly reduce false alarms caused by irrelevant objects To help Haier solve the first problem, Dahua 5MP WDR IR Bullet AI Network Cameras were chosen to safeguard the perimeter of the Haier industrial park. Featuring active deterrence, the cameras are able to proactively warn intruders to leave before users take action. Once an intrusion is detected, a white light will turn on, accompanied by a buzzer to warn off the intruder. Additionally, its AI-powered perimeter protection function can greatly reduce false alarms caused by irrelevant objects. The combination of advanced AI analytics and real-time alerts to a desktop or mobile clients reduces system requirements and resources, thereby improving the efficiency of the surveillance system. Smart IR technology The office areas and the interior of the washing machine factory are covered with Dahua 4MP WDR IR Dome Network Cameras, while public areas are monitored by 2MP 25x Starlight IR PTZ Network Cameras. As a member of Dahua Eco-savvy product family, the Dahua 4MP WDR IR Dome Network Cameras adopt upgraded H.265 encoding technology to provide starlight, Smart IR technology, as well as intelligent image analysis techniques. It saves bandwidth and storage, with energy-saving design to enhance monitoring performance of the system. With built-in Intelligent Video System (IVS) analytic algorithm, these dome cameras also support intelligent functions to monitor a scene for tripwire violations, intrusion detection, and abandoned or missing objects. In the future, it can respond quickly and accurately to events in the monitored areas. These cameras are equipped with smooth control, high quality image and good protection As for public areas, Dahua 2MP 25x Starlight IR PTZ Network Cameras have powerful optical zoom and accurate pan/tilt/zoom performance that can provide a large monitoring range and rich details. Through the latest Starlight technology, the cameras can achieve excellent low-light performance. In addition, these cameras are equipped with smooth control, high quality image and good protection, which meet the requirements of most industrial parks. Face recognition Dahua face recognition barriers were deployed at the entrance of the Haier industrial park and its office building, allowing quick and touchless passage of registered Haier employees without using employee cards or other identification documents. The system is based on a deep learning algorithm powered by AI, which compares facial images captured by the camera with those stored in the library to verify a person’s identity and grant permission. Access will be denied for unregistered people. The industrial park’s entrance and exit use 2 Megapixel Full HD AI Access ANPR Cameras to identify entering and exiting vehicles. Boasting a capture rate of over 99%, the cameras can automatically recognise the number plate of a vehicle in low speed less than 40 kmph, and capture vehicle data such as vehicle direction, vehicle size and vehicle colour detection (in daytime) based on deep learning algorithm. Aside from these capabilities, the cameras can also control the barrier according to the whitelist set by users and let registered vehicles pass without stopping. The Dahua DSS PRO management platform integrates all cameras and the aforementioned devices At the management centre, all the information collected by font-end cameras will be transferred to a 16-HDD Enterprise Video Storage. With Seagate HDD, the device offers unparalleled capacity performance for users to store massive videos and obtain evidence when needed. The Dahua DSS PRO management platform integrates all cameras and the aforementioned devices, allowing operators to easily control and manage the system. Up-to-date Dahua AI equipment Dahua Technology’s smart industrial park solution has assisted Haier in creating a modern intelligent industrial park in Russia. The up-to-date Dahua AI equipment provides Haier a long-term smart security system with upgraded security level and enhanced management efficiency. “The traditional personnel management system requires manual registering of employee information and cards to enter and exit office areas, which is inefficient and difficult to manage, and often high in cost. Upgrading the access verification system is crucial for modern companies like Haier in order to increase the security level of its industrial park and office building. We look forward to our future cooperation,” said Zhao Shengbo, Regional Director of Dahua CIS. “During the requirement discussion, solution design, and engineering survey, Dahua shows professionalism and excellent communication skills. Haier is satisfied with the first step cooperation and looking forward to the second step of the project,” said Liu Wei, Overseas Regional Project Manager of Haier Group.
BI-City Tokyo is located in Nur-Sultan (Astana), the capital city of Kazakhstan. It is a high-end residential complex of BI Group – a construction holding company in the Kazakhstan real estate market. At present, three apartment buildings with public areas and more than 400 apartment units have been completed. Aiming to create modern high-end intelligent buildings and residential areas, the BI Group wanted to upgrade the existing analogue video intercom system of BI-City Tokyo. Analogue intercom system The original analogue intercom system in this community is outdated and cannot meet the diverse security requirements of high-end residential areas. First, the original analogue intercom does not support retaining images and leaving messages. Second, this system only supports access cards to open doors, which is inconvenient for residents in case they forgot their card. Third, the original system cannot add IP cameras to monitor public areas such as children's playground, fitness areas, etc. Fourth, the cold winter temperature in Nur-Sultan requires high-performance equipment capable of operating in extreme environments. Cold winter temperature requires high-performance equipment capable of operating in extreme environments Faced with the abovementioned challenges, BI Group was also looking for a trustworthy brand that can provide not only modern smart system but also technical support and reliable after-sales service. Meeting all the above requirements, Dahua smart residential solution was chosen to be the security solution provider of BI-City Tokyo. Access ANPR Camera The complete solution deployed more than 300 pieces of Dahua equipment, including Indoor Monitor, Apartment Outdoor Station, IP Camera, Access ANPR Camera, Video Recorder, etc. The solution supports two-way audio intercom, real-time video and messaging feature. In addition, a variety of door opening methods were also implemented: door opening via remote calling, door opening using access card, and remote door opening via APP. Additionally, all the equipment can be visualised and integrated in the Dahua DSS platform for centralised management, operation and maintenance. Moreover, the temperature in Nur-Sultan can reach up to negative 40 degrees in winter season. This requires high-performance outdoor devices featuring dust and water resistance, and explosion-roof capability. In response to this pressing challenge, Dahua apartment outdoor station VTO1210C-X-S1 and access ANPR camera ITC237-PW1B-IRZ that support wide working temperature were installed at the entrance of the apartment building for a more effective visitor and vehicle management. Built-in intelligent video analytics When a visitor arrives at the entrance of the apartment building and dials a resident’s room number through the Dahua apartment outdoor station, the camera installed at the entrance will synchronise the video with the visitor’s image captured in the resident’s indoor monitor. Once the visitor’s identity is confirmed, the resident just needs to press the button on the indoor monitor to open the door remotely. With Dahua app, users can even answer calls and open doors remotely when they are out for work or travelling. As for vehicles, Dahua access ANPR camera ITC237-PW1B-IRZ is designed for extreme temperature environments (temperature range of -40°C to +60°C). With built-in intelligent video analytics, the camera has the ability to detect and recognise moving vehicle's plate number within low speed. IR Mini-Bullet Network Camera The camera uses a set of optical features to balance light throughout the sceneFor both approaching and departing vehicles, the access ANPR camera takes a snapshot of the number plate and vehicle overview picture, as well as records corresponding surveillance videos. By setting a whitelist, the camera can automatically control the barrier or gate to open if a plate number recorded in the whitelist has been recognised. The public areas including children's playground, fitness areas, as well as the lobby are covered by 2MP IR Mini Dome Network Camera IPC-HDBW4231E-ASE, 2MP and 3MP IR Mini-Bullet Network Camera. The Starlight Ultra-low Light Technology of IPC-HDBW4231E-ASE offers light sensitivity, capturing colour details under low light condition up to 0.002lux. The camera uses a set of optical features to balance light throughout the scene, resulting in clear images in dark environments. Smart residential solution Dahua smart residential solution provides an integrated management platform for the management personnel of BI-City Tokyo. It assists in the remote and visual management of the property and improves the services and facilities they offer. Security guard at the entrance is not needed anymore to manage entering and exiting vehicles, which saves labour costs, reduces the waiting time of vehicles and improves traffic efficiency. In addition, the all-round monitoring of the public areas within BI-City Tokyo greatly improves the safety level of the entire community. The video intercom system of the building provides a variety of convenient door opening methods, enhancing the resident’s living experience. "We adopted analog solution in the first phase. From the second phase, we replaced all of analogue system with Dahua’s IP video intercom solution. We hope that Dahua will help us complete the solution planning of the three, four, five, and six phases”, said Arman, General Manager of BI Group.
Brienon-sur-Armançon is a city in the Burgundy-Franche-Comté region of north-central France, with a population of about 3,300. Located at the intersection of two rivers – Créanton and 'Armançon, Brienon-sur-Armançon enjoys an advanced road network which is vulnerable to illegal activities. To make the city safer, the local government, with far less than sufficient police force at hand, chose to secure its city and residents with Dahua Safe City Solution. There were two main pressing issues that needed to be addressed. Firstly, the city had far less than insufficient police force, only one policeman was supposed to look after the whole 3,300 dwellers. Secondly, Brienon-sur-Armançon had not prepared itself with necessary cables needed for modern surveillance systems, requiring the Dahua Team to design a tailored solution according to the unique local environment and limited human resources of this city. Wireless transmission device This solution aids them in obtaining video recordings that can be used as evidence in case of an incident To make up for the shortage of police force and network cables, Dahua Technology delivered a customised solution covering the whole city with various kinds of video surveillance devices. These equipment are linked by a wireless device combining PTZ camera and antenna that transmits all the collected information to the highest point in the city center. These data are then transmitted to the control center, making it easy for the police to achieve round-the-clock monitoring. To monitor major sections of the city, an array of modern devices were utilised including Starlight IR PTZ AI Network Camera, Multi-Sensor Panoramic Camera, Eyeball Camera, Thermal Camera, ANPR Camera, Wireless transmission device, keyboard, etc. From the control center in the police station, the police can check real-time situation and decide whether to take action. This solution also aids them in obtaining video recordings that can be used as evidence in case of an incident. Vehicles trigger detection In addition, the combined strength of the Dahua general camera and PTZ camera created a smart capture mechanism for the police. General cameras were installed to monitor fixed scenes, once human or vehicles trigger detection rules set by the operator (like tripwire and intrusion), the PTZ camera will automatically zoom-in and start tracking. For low-light applications, the Dahua Starlight Technology of the PTZ camera also offers outstanding light sensitivity, capturing color details even under ultra-low light condition. Moreover, ANPR Cameras were deployed for road safety enforcement on main roads. Embedded with License Plate Recognition (LPR) algorithm, the cameras have the ability to detect and recognise moving vehicle's plate number within low speed. Furthermore, installing Thermal Cameras took care of the job of monitoring the BBQ sites in the park with their built-in fire detection functionality that can detect fires even at long range distance. Effectively monitor major areas The police has solved a cemetery theft case with evidence recorded by the Dahua PTZ cameraWireless transmission device made it possible for all cameras in all locations to connect to the control center without the cost and trouble of wiring. NKB 5000 HD Network Control Keyboard was installed in the control center to help the police achieve split screen operation of both general and PTZ cameras. Some Seagate hard disks were also used to store recorded videos for future use. The Brienon-sur-Armançon police can now sit remotely in the control room and operate in an efficient way with the help of Dahua Safe City Solution, which allows them to effectively monitor major areas in the city and respond in time when an incident takes place. Dahua PTZ camera The recorded videos also serve as crucial evidence and help the police to crack a case with much less effort. In the first week of the test run of this smart system, the police has already solved a cemetery theft case with evidence recorded by the Dahua PTZ camera. “The origin of our cooperation with Dahua dates back to the visit to China a year ago. This visit to the Dahua headquarters in Hangzhou concluded with a reciprocal commitment – to equip the city of Brienon with video surveillance. We welcomed this agreement, which allowed the installation of the system and improved the daily life of our residents.” said Mr. Jean-Claude M.CARRA, Mayor of Brienon-sur-Armançon.
Established in 1976, Meghna Group of Industries (MGI) is a conglomerate in Bangladesh. MGI operates out of a large campus in Dhaka that houses its head office, 45 different manufacturing plants, and maintenance workshops, all under one roof. MGI has a turnover of over USD 3 billion, and an employee strength of over 30,000. Being an established and trusted group, it required operations to be suitably monitored, in order to ensure uninterrupted production, adherence to quality standards, and timely delivery of supplies to customers. So far, it had been monitored by manned security, with accompanying risks ranging from damage to assets, misuse of equipment, thefts, leakage of confidential information, employees’ safety, poor record keeping for vehicles entering or exiting the premises, and more. Providing investigation-friendly monitoring software Enabling IVA at various locations has helped in the monitoring of infrastructure Designing of the solution started with a joint site survey by Videonetics, MGI IT heads, and the system integrator. After extensive research, Videonetics developed a unified solution encompassing Intelligent Video Management Software (IVMS), Intelligent Video Analytics (IVA), and a customised ANPR system to read and capture licence plates in Bengali language. Key aspects of the solution included the following: Videonetics’s IVMS has been deployed to help in viewing and recording feeds from over 500 cameras installed in multiple factory locations. This is enabled over IP network in an efficient and elegant way. In addition, the solution provides investigation-friendly monitoring software at the front-end, while relegating all the complexity of the server software to the back-end. Enabling IVA at various locations has helped in the monitoring of infrastructure, vehicles, people, crowds and objects, for automatic detection and analysis of events of interest. Manned security to address safety The operators get a bird’s eye view of various sites from their centralised location, enabling them to respond quickly and effectively when an incident occurs. The solution has been installed on Red Hat® Enterprise Linux® which makes the overall system more secure and maintainable. Videonetics’s Automatic Number Plate Recognition (ANPR) system has been customised to read license plates in Bengali. Regardless of the lighting conditions, the Bengali ANPR accurately captures with timestamp the licence plate of any vehicle as it appears in the camera’s field of view (FoV). The new implementation enables security operators to be deployed at the unified interface In addition, the system is integrated with the IVMS at the command and control centre, for viewing and analysing vehicular movements, and taking action, if required. THE IMPACT Prior to the installation of Videonetics’s solution, MGI used to rely on manned security to address safety, security and operational risks. However, the new implementation enables security operators to be deployed at the unified interface, for monitoring multiple sites such as assembly plant, warehouse, process, dispatch area, vehicle movement, and so on. Personal protection equipment detection So now, MGI operators can handle incidents of thefts, potential break-ins, unauthorised intrusions, and conduct investigations, without having to leave their desks. This has helped MGI in maximising resources and significantly reducing costs. But the biggest benefit has been to be able to provide a safer environment to its employees, and to secure its workplaces with optimisation in day-to-day operations. The open architecture of the solution allows MGI to continue adding, in a single interface, more AI & DL powered applications such as personal protection equipment detection, facial recognition, fire & smoke detection, workers slip/ fall detection, workers head count, vehicle movement management, to name a few. This makes it possible for the company to address all its security concerns with a holistic approach.
Round table discussion
Public spaces provide soft targets and are often the sites of terrorist or active shooter attacks. Public spaces, by definition, require easy accessibility and unrestricted movement. Given that openness, what security technologies can provide real results? We asked this week’s Expert Panel Roundtable: How is technology innovation impacting the security of public spaces?
The new school year is a good time to reflect on the role of security in protecting our schools. From video to access control to some newer technologies, our Expert Panel Roundtable found plenty to talk about when we asked this week’s question: How does security technology make our schools safer?
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)?