Smart Video Now and Tomorrow
Smart video is the evolution of traditional surveillance. Data collected by cameras can be leveraged by smart apps like facial recognition. Smart video uses cameras to analyze incoming video in real time to extract valuable insights that allow decisions to be made without human intervention. That’s how you can unlock your phone with your face without entering any data manually.
Another example of smart video is smart cities. Smart cities use different types of electronic Internet of Things (IoT) sensors and devices to operate municipal cameras, control signal lights, reduce congestion and pollution, and improve people’s lives. Insights gained from that data are used to manage assets, resources, and services more efficiently. When collected information is pooled together, it’s referred to as big data, which can then be used to improve the operations across the smart city.
In smart factories, smart video can detect manufacturing inefficiencies, and in some cases, perform better quality control. In smart retail, analyzing foot traffic can help identify prime locations for product promotion and placement.
So, how does smart video work? Smart video employs artificial intelligence (AI), either in the NVR or on the camera. AI requires deep learning and that can take place in the NVR or more likely, in a deep learning server on the back end or in the cloud. Deep learning requires massive amounts of reference video data to improve the effectiveness and efficiency of the AI.
Smart video can impact every aspect of surveillance from cameras, to recorders, to back-end servers. Consider that more effective AI requires higher resolution video, higher frame rates, and more visual detail. All this leads to the need for more and more reliable data storage.
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