12月22日的JARVIS - Video Analytics应用程序分析

CCTV surveillance, the traditional way, is used to stream live video footage on to TV screen monitors. They either need a full-time observation or they are recorded and one can access them later as and when the situation demands so. Now, there is a problem that humans can always make errors while making observations from video surveillance. The operators might unintentionally miss out on crucial suspicious behaviors that can cause possible adversities or mishaps. This is a rather tedious task too. Thus, a simple network of CCTV cameras is just as good as the person sitting behind the ever so many monitors. This is exactly where the use of JARVIS changes the whole game. The app can work all the time and with an accuracy that will miss no suspicious detail. Trained to predict any suspicious behavior based on the body language, the biggest benefit of these systems is that they send real-time alerts to you on your phone or laptop devices synced to it, no matter where you are. Thus, eliminating the need for somebody to keep a constant vigil. Day or night the AI cameras will be there giving you an alert as soon as it finds something anomalous happening. This gives us a lead-time by saving us from going through all video footage for hours finding that one clue.