Video Surveillance: Industry Trends and Recommendations to OEMs

Introduction of Video Surveillance

Video surveillance is used for keeping track of activities, situations and territory, Video surveillance system comprises of a complex set of software, close circuit television camera, transmission, display, record registration, storage device and display.  In many countries’ local governments, law enforcement authorities, and security professionals of premises rely significantly on video surveillance for preventing terrorism, and fighting crime.

Video Surveillance
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    The smart city projects in various countries make use of modern surveillance solutions. Prevention of resources theft, remote video monitoring, facility protection, monitoring of operations, loss prevention, vandalism deterrence, employee safety, monitoring of parking lots, event video surveillance, public safety, traffic monitoring, outdoor perimeter security, and internet security systems are some of the major applications of video surveillance.

    Banking, financial services, manufacturing, retail, defense and transportation are the major industries that utilizes video surveillance. There are more than 770 million active closed circuit television surveillance cameras for video surveillance.

    With the evolution of internet of things, artificial intelligence and deep learning, surveillance cameras are now capable of gathering data accurately and make credible predictions with advanced analytical software made by video surveillance manufacturing companies. Modern surveillance systems are wireless and provide instant alerts.  The video surveillance as a service is becoming widely sought-after solutions.

    The cloud-based video surveillance offers flexibility in operation, a longer duration of storage of data, and improved safety. Artificial intelligence, IoT, and deep learning are anticipated to provide growth opportunities for the major players during the forecast period.

    However, the privacy concern is increasing in countries like China where face recognition technology is used alongside video surveillance and it led to the tracking of individuals in public space. The video surveillance market is witnessing the transition of analog cameras to digital internet protocol cameras.

    There is very high competition among major players in the video surveillance market. From smaller CCTV systems for shops to advanced systems with facial recognition technology are made available by the major manufacturers in the global video surveillance market.

    Companies are now focusing on digital systems with the utilization of artificial intelligence, internet of things, deep learning and other new technologies to provide better solutions. Various companies are developing different versions of advanced intelligent video surveillance systems and intelligent video analytics solutions.

    These systems observe a scene and looks for particular inappropriate behaviors . Or it will indicate the presence or appearance of some type of inappropriate behavior. IVAS identifies concerned regions and identifies particular camera or collection of cameras that could be able to provide views from that region.

    It helps in interventions at appropriate times. Companies in this market are spending huge sums for research and development of advanced video surveillance products and analytical software to meet the ever-changing demands of the ecosystem.

    Global Video Surveillance Market Trends

    Video Surveillance as a Service

    Video Surveillance as a Service is becoming more popular among businesses. It is a hosted cloud-based video surveillance that provide services such as video recording, remote viewing, cyber security, storage, and management alerts among others.

    It eliminates the requirement for servers on premise. Advancements in cloud technology and availability of greater bandwidth are making VSaaS a viable option for businesses.

    This service helps in lowering the initial capital expenditures, fully utilizing hardware, lowering power costs, reducing IT staffing costs, and improvement in reliability. It is possible to monitor all cameras through security center or a web application.

    Maintenance and system updates are automated. VSaaS provides purchase flexibility to the clients. VSaaS is ideal for BFSI, airports, educational institutions, hospitals, residential and commercial buildings, warehouses, hotels, malls, and retail stores among others.

    More surveillance systems are anticipated to migrate to cloud-based service to avail bulk storage of data and analysis of the data using analytics. Cloud processing of data provide data insights. It is anticipated to turn video surveillance into a tool that can provide beneficial insights for improving business operations.

    Artificial Intelligence and Internet of Things

    The application of Internet of Things is important in delivering advanced surveillance services. IoT connects internet enabled cameras to various systems and devices ,which perform tasks and makes video surveillance a smarter solution.

    Edge based artificial intelligence that filter and process data on the camera locally is anticipated to become mainstream. It increases the efficiency of the video surveillance system by decreasing the burden of distributing and storing bulk data to the server.

    It saves time and decreases server costs. To accommodate the advanced technologies of IoT and  AI the camera hardware need upgradation. Various new surveillance cameras contain a more powerful GPU and improved analytics chipset for handling advanced functionality. Artificial intelligence-based video surveillance analytics software can analyze audio and images from the live streams of video surveillance.

    It uses image recognition algorithms for recognizing faces, events, and objects among others. AI based computer vision have domains such as event detection, scene reconstruction, video tracking, object recognition, 3D pose estimation, motion estimation and image restoration.

    Rising Demand for Video Surveillance in Extreme Conditions

    Video monitoring in extremely harsh conditions is possible with IoT cameras, edge computing devices, mobile broadband capabilities and industrial rugged remote surveillance systems.

    Mines, chemical factories, closed areas susceptible to explosion, areas with extreme temperatures, ships, oil and gas rigs, refineries, areas having high corrosion levels, toxic environments, and areas with varying weather patterns are some of the extreme conditions that require special video surveillance systems.  

    With adequate protecting layers, these systems can tolerate  the above conditions.  Thermal cameras, explosion proof cameras, arctic cameras, radiation camera systems and underwater cameras are some of the types of cameras used in extreme conditions.

    Inclination Towards IP Networks Based Video Surveillance

    The emergence of Internet Protocol networks-based video surveillance architecture is helping end-users to migrate from the issues present in old analog systems to digital systems.

    IP cameras and the video servers convert the analog video to a digital signal. With a proper network connection, the signals can be distributed to numerous devices. The software helps in the management of cameras and servers.

    Enhanced  video surveillance system that combines video analytics with IP video surveillance technologies create more value of video data. Nearly 10 million IP based surveillance cameras are installed in USA.

    IP based camera systems provide flexibility in video access options, supports local and remote access, ease of installation, eliminates requirement of expensive coaxial cabling, and shares a single communications network with wireless, voice and data traffic. It requires only a computer and a dedicated software or web browser for viewing videos. It reduces maintenance and operations costs.

    Recommendations to OEMs

    Association with VSaaS providers

    The transfer of recorded video to cloud allows remote monitoring and it enhances coverage, prevent evidence tampering, and enable faster response. The increasing adoption of video surveillance as a service provides growth opportunities in the market.  With more end users adopting cloud-based video surveillance for cost savings, the scope for VSaaS is huge. Associating with video surveillance service providers can be beneficial.

    Adoption of AI-based Analytical Software

    The era of analog video surveillance products is coming to an end in near future. End-users need cost-effective and time saving solutions. IoT surveillance devices are interconnected and with internet access, it enables faster transmission of the video data to cloud or hybrid storage and faster processing of data.

    Artificial intelligence and deep learning-based video surveillance system pinpoints the area in contention and camera focusing on that particular area is detected and data is analyzed. It helps in faster identification of threats or scenarios.

    The use of AI-based analytical software are very helpful in analyzing bulk data for generating useful business insights. Hence, it will be very useful if devices compatible with these technologies are manufactured.

    Geographical Expansion

    The video surveillance systems in the developed countries are migrating towards digital systems with the availability of cloud-based video surveillance. The demand for analog video surveillance systems is anticipated to decrease in those countries.

    However, video surveillance systems are slowly becoming affordable in developing countries. There are growth opportunities for both analog and digital video surveillance systems in developing countries.

    Expanding the geographical footprint could make up for potential revenue loss in certain countries. Investing in digital video surveillance parts will yield dividends during the forecast period.

    Technological Advancements in Analytic Software

    There are opportunities for software vendors for advanced software for video surveillance. As more video surveillance systems are migrating to digital IP-based systems, there is a significant requirement for advanced software to process the data.

    In industries that generate huge video data, there is a requirement for analytical software for processing the bulk video data. With more adoption of video surveillance systems in developing countries, there are opportunities for basic software as well.

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