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Video Analytics is the Key to Improving Access Control - Pune
Wednesday, 3 March, 2021Item details
City:
Pune, Maharashtra
Offer type:
Offer
Item description
Sara Kumar, Product Manager at Identiv security video analysis software, shares how video analytics can help enterprises be alert to cyber breaches
One of 2020’s biggest predicted security trends is closing the gap between traditional video surveillance and access control, a move designed to increase high-level security. Key drivers of this trend are the Internet of Things (IoT) and advancing technologies, which are accelerating digital transformation, creating opportunities to increase productivity and optimize operations through greater connectivity and information sharing. But, this growing prevalence of interconnected devices means businesses have access to more data than ever before, forcing leaders to find efficient ways to extract the right information and make the best business decisions to keep businesses running at optimal levels – especially as the world continues to navigate a slow-paced recovery from the COVID-19 pandemic.
In addition to the explosion of data, businesses now have to adapt to a new normal – one that extends beyond the everyday security functions to one that tracks video analytic behaviors to place an even greater emphasis on customer safety, as well as social distancing. With all of this new data, combined with the increased focus on customer safety and security, there must be a concise method to comb through the data.
Artificial intelligence (AI) and video analytics can help this process by providing metadata. In security applications, standard analytics tools can help you identify metadata associated with motion, color, facial, license plate recognition, access granted, access denied, people count, and dwell time. And, although access control may not seem to benefit as much from an analytic layer as video surveillance, the opposite is true. Any event coming from an access control system could – and should – be viewed as potential analytics metadata to a video management system (VMS). Conversely, an image of a person coming through an entry point (and identified through the system as an alert) is metadata that a VMS can communicate to an access control system.
One of 2020’s biggest predicted security trends is closing the gap between traditional video surveillance and access control, a move designed to increase high-level security. Key drivers of this trend are the Internet of Things (IoT) and advancing technologies, which are accelerating digital transformation, creating opportunities to increase productivity and optimize operations through greater connectivity and information sharing. But, this growing prevalence of interconnected devices means businesses have access to more data than ever before, forcing leaders to find efficient ways to extract the right information and make the best business decisions to keep businesses running at optimal levels – especially as the world continues to navigate a slow-paced recovery from the COVID-19 pandemic.
In addition to the explosion of data, businesses now have to adapt to a new normal – one that extends beyond the everyday security functions to one that tracks video analytic behaviors to place an even greater emphasis on customer safety, as well as social distancing. With all of this new data, combined with the increased focus on customer safety and security, there must be a concise method to comb through the data.
Artificial intelligence (AI) and video analytics can help this process by providing metadata. In security applications, standard analytics tools can help you identify metadata associated with motion, color, facial, license plate recognition, access granted, access denied, people count, and dwell time. And, although access control may not seem to benefit as much from an analytic layer as video surveillance, the opposite is true. Any event coming from an access control system could – and should – be viewed as potential analytics metadata to a video management system (VMS). Conversely, an image of a person coming through an entry point (and identified through the system as an alert) is metadata that a VMS can communicate to an access control system.