UNV Uniview - Experts & Thought Leaders

Pioneering security solutions developer, designer and provider, Videcon have joined forces with the global CCTV manufacturer Uniview to introduce a new range of products to the UK market, including innovative NDAA-compliant technology. The new range, consisting of 14 cameras and recorders will sit alongside Videcon’s Aspect and Concept Pro ranges and will be split across three tiers: Easy, Prime-I, and Prime-III, with each product providing a premium quality performance suitable for all business and domestic needs. Each camera comes with human body detection as standard, allowing for the recognition of people within a configured area. The Prime-III range will utilise innovative LED lighting to provide crisp colour imaging 24 hours a day. Non-HiSilicon components We’re delighted to be able to partner with Uniview on this new range of CCTV product" The Videcon Uniview range will be the first in the UK to introduce non-HiSilicon components within the products. Adhering to the United States’ NDAA which has prohibited the use of certain video surveillance, telecommunications services, equipment, and components from selected vendors to potentially lessen the threat posed to their cyber security. Videcon Managing Director, Matt Rushall said: “We’re delighted to be able to partner with Uniview on this new range of CCTV products. Our team are dedicated in providing our customers with the best technology on the market and their hard work has allowed us to be the first in the UK to provide the industry with these NDAA-compliant products.” Videcon Uniview range “We’ve developed a faster delivery system, allowing anyone to order products for next day delivery up to 5pm, with a full on-boarding programme being introduced which includes demonstration centres across the UK for customers to experience the products for themselves.” “The Videcon Uniview range is just the beginning of our mission to provide our customers with the best products, best service, and crucially the best prices to ensure that security is accessible for all businesses.”

Uniview is one of the most popular video surveillance systems on the market. Uniview devices secure thousands of homes, offices, shops, hospitals, and even cities: Troyes in northern France or one of the most densely populated areas of Seoul, Gangnam. A user can now view Uniview video streams in the Ajax app. With an integrated security system, the user can check at any time whether the stove is turned off, where is their cat, whether the children are back home, or what triggered the motion detector alarm. Ajax helps to create such a system using cameras, detectors, and home automation devices. And the user can control it from anywhere in the world with a free app. Video surveillance device Using the Ajax app, the user can watch streams from Uniview cameras and DVRs and pause them to take screenshots. The connection is extremely simple: Log in to Uniview account Choose which cameras (or DVRs) will be available in the Ajax app Up to 10 cameras can be connected to Hub and up to 25 cameras to Hub 2. However, in order to monitor large facilities, the user may need more CCTV devices. Hub Plus can help with that. It can manage up to 50 cameras. And if the user needs even more cameras try DVRs. The application will treat each video recorder as a single video surveillance device regardless of the number of cameras linked to it. Encrypted streaming process Even if there will be more than a hundred cameras, they can still switch between while watching the stream. The streaming process is encrypted and the application never saves it on their servers. This is how it goes. First, the stream from a camera or a video recorder is broadcasted to the Uniview cloud. Then, it is transferred to the Ajax application using Uniview SDK. Only the user and the people with the corresponding rights can access the video streams within the Ajax app.

Secutech India 2018 opens this week amid growing industry demand for products in the security, fire and safety industries. The trade fair will take place in Mumbai from 5 – 7 April at the Bombay Exhibition Centre, and will provide regional buyers the opportunity to source products from some of the world’s leading safety and security brands. With India’s accelerating economic growth continuing to drive industry demand, the fair presents an ideal opportunity for leading players to network and trade with each other under one roof. Under the themes of intelligent security, fire & safety and security solutions for manufacturing facilities, the fair will play host to some of the latest technological innovations. Products and solutions will encompass cutting edge developments for manufacturing facilities, hospitals and schools AI enabled smart city solutions Products and solutions will encompass cutting edge developments in areas including AI and deep learning technologies, low light cameras, smart city, traffic monitoring, license plate recognition and security for manufacturing facilities, hospitals and schools. Showcasing these products and solutions will be some of the world’s most advanced companies as they compete to meet market demands in over 15,000 sqm of exhibition space. Represented amongst more than 120 participating companies will be key industry players including: Axis Video Systems, Boon Edam Entrance Technology, CP Plus, Dahua Technology, Enterprise Software Solutions Lab, Genius Vision Digital, Globus Infocom, Halma, HID, Honeywell, iComply Veracity Surveillance, Milestone Systems, Infinova, Naffco, Prama Hikvision, Seagate Technology HDD, Tyco Fire & Security, Uniview, Videonetics, Allied Telesis, Vivotek, and ZKTeco. Fire Safety and Security Conclaves Sourcing products from these companies will be buyers representing diverse vertical market sectors including transportation, construction, finance, retail, hospitality and real estate with approximately 25,000 buyers expected to be in attendance. These will include local manufacturers, commercial building owners, system integrators, distributors, real estate developers, project owners and government bodies. In order to encourage networking and promote discussion relevant to the key issues facing India’s security and fire & safety industries, a series of specialised seminar programmes will be held during the fair. Two separate conclaves – the Safety and Security Conclave and the Fire and Safety Conclave will welcome industry and business leaders such as Puneet Garkhel (Partner, PwC), Mala Singh (Co-Chairman, IGBC Green Residential Societies Rating System), and Deepak Pokhariyal (Vice President, Reliance Industries). The Security Consultant’s Association of India will co-organise the SECONA Shield Awards Key discussions The platform will facilitate discussions on current trends and future developments relating to key industry topics including: Smart cities and infrastructure, moving beyond the smart city paradigm Critical infrastructure – risk mitigation strategies and integrated operations centre Banking and information security: preparing for the unexpected New age technologies in the banking sector, convergence of cyber security and physical security Intelligent IoT – the role of artificial intelligence SECONA shield awards Meanwhile, the Security Consultant’s Association of India will co-organise the SECONA Shield Awards. Taking place on 6th April, the awards will recognise top players in India’s security market. Nominations will be focused in 11 categories including innovative product of the year in security software, security product of the year, and safe city project of the year.

Remarkable changes are happening in the video camera market for surveillance applications, including the emergence of lower-priced products that offer features that previously were only available at a much higher price point. Deflating prices of cameras are sometimes referred to as a “race to the bottom” – foreshadowing a market of low-cost cameras that all provide similar features. We asked this week’s Expert Panel Roundtable to comment on camera pricing trends and how customers can continue to find real value in the changing environment. Specifically, we posited: Lower-cost cameras have more features than ever. Why should a customer continue to buy “premium” cameras?

A technology poised to transform the physical security market is deep learning, which is a neural network approach to machine learning, differentiated by an ability to train using large data sets for greater accuracy. In effect, the system “learns” by looking at lots of data to achieve artificial intelligence (AI). Phases of deep learning I heard a lot about AI, including how it can transform the physical security marketplace, when I attended NVIDIA’s GPU Technology Conference (GTC) in San Jose recently.   Recognising images, including video images, is a big focus of AI. In the past, you needed programmers to spend months telling a computer how to recognise an image. In deep learning, instead of programming the computer, you just show it many different images and it "learns" to distinguish the differences. This is the "training" phase. After the neural network learns about the data, it can then use "inference" to interpret new data based on what it has learned. In effect, if it has seen enough cats before, it will know when a new image is a cat. Factors enabling AI Deep learning and AI are fast-growing areas for a wide range of uses – physical security is just one. It is all made possible by the coming together of three factors. One is the availability of lots of data. This is the “big data” we have been hearing about; in effect, a proliferation of sensors (including video cameras) has produced a large enough mass of data to enable systems to be trained effectively. The second factor is the development of new algorithms to train neural networks faster, and the third is the availability of computer hardware (specifically GPUs, graphics processing units), that is capable of rapidly completing the involved calculations. NVIDIA manufactures those GPUs and sponsors the annual GTC conference, all about how they can be used more effectively. “Deep learning is about teaching technology to understand the world around us in a way that is similar to how we understand it” Deep learning and neural network computing is everywhere. It is now widely available in on-premises computers, in systems embedded in edge devices, and even in the cloud. The edge is particularly important in the video surveillance market, enabling systems to function despite any bandwidth or latency issues that would limit the effectiveness of a central server-based system. Edge-based functionality also limits concerns about the privacy of information, and eliminates dependence on the availability of 3G connectivity. NVIDIA AI City initiative Video analytics applications fall under NVIDIA's “AI City” initiative, which they describe as a combination of "safe cities" (video surveillance, law enforcement, forensics) and "smart cities" (traffic management, retail analytics, resource optimisation). Depending on the application, AI City technology must function in the cloud, on premises and/or at the edge. NVIDIA’s new Metropolis initiative offers AI at every system level, from the Jetson TX2 "embedded supercomputer" available at the edge, to on-premises servers (using NVIDIA’s Tesla and Quadro) to cloud systems (using NVIDIA’s DGX). “AI City applications need an edge-to-cloud architecture,” says Jesse Clayton, Senior Manager, Product Management, Intelligent Machines, at NVIDIA. “Some applications, such as body cameras and parking entrance applications, have to have AI at the edge. But for other problems, you need to aggregate multiple sources of information, such as using AI on an on-premises server for hundreds of video cameras.” The sheer volume of installed cameras in the world makes video an AI problem – more than 1 billion cameras worldwide by 2020 will provide 30 billion frames of video per day. The existing limitations of current video systems to adapt and function well in real-world conditions point to a need for better technology, as do the traditional shortcomings of video analytics systems. Video systems can achieve "super-human" results, identifying and classifying images using artificial intelligence. NVIDIA’s GPU Technology Conference offered a chance for Avigilon to interact with others focused on AI AI in video surveillance AI is steadily making its way into video surveillance. Multiple security industry partners are using NVIDIA GPUs to boost the effectiveness of their systems. Many companies highlighted their initiatives at ISC West in April and again at NVIDIA’s GPU Technology Conference. Among them are Avigilon’s Appearance Search and BriefCam’s real-time video synopsis system. Hikvision uses the technology for a six-fold improvement detecting pedestrians in the rain, while Dahua is speeding up its licence plate recognition system by five times. Other companies using the technology are UNV Uniview (vehicle classification), SeeQuestor (investigations), Xjera Labs (people and attribute detection) and Sensetime (object detection). NVIDIA’s Quadro GPU system enables Avigilon network video recorders (NVRs) to search simultaneously across hundreds of cameras to find images that are similar in appearance, such as faces that match an example. The GPU’s fast and efficient processing power, available in a small and affordable form factor, provides a system that is scalable and cost-effective but can run complex algorithms to provide rapid results. Beyond recognising objects, the system can also learn about how objects interact in the environment, and look for anomalies “Deep learning is about teaching technology to understand the world around us in a way that is similar to how we understand it,” says Willem Ryan, Senior Director, Global Marketing at Avigilon. “What seem simple to us in terms of how we perceive the world is complex for a machine to do, but a machine learns faster. Deep learning allows you to teach a machine how to make connections that we make every day. Using GPUs, a system can make assumptions and calculations instantaneously.” Beyond recognising objects, the system can also learn about how objects interact in the environment, and look for anomalies or non-typical events. For example, if the system sees a car go onto a pavement, it could provide an alert. How will AI develop? NVIDIA’s GTC conference offered a chance for Avigilon to interact with others focused on AI, and to share Avigilon’s knowledge of the unique AI challenges of the video surveillance market. “This is the heart of the development of AI and deep learning,” said Ryan at the GTC conference. “To be involved and part of this is exciting to Avigilon, and we can expose people here to how AI can be used in a way they may not be familiar with. We have talked to people who didn’t realise how video surveillance happens currently, and how AI is changing it. “ “We want to continue to support the idea of GPU processing and how using it can make video surveillance solutions more effective, and change how people interact with video,” he added. “That’s where we see the impact. There have been challenges we have struggled to overcome in the security industry, and these are the breakthroughs that will help us overcome those challenges. So, we want to be at the forefront and involved in those discussions.” The impact of AI and deep learning on the physical security industry is only beginning. The full realisation of that impact over the next few years will be fascinating to watch.