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Analysis of Video Surveillance in the Bank Using Machine Learning
Author Name : Mrs. Jithina Jose, Neha Sirurmath, Vaibhav Wable, Vidyasagar More
ABSTRACT
As we know, theft, fights, and many other abnormal events occur in banks and are increasing daily. To tackle these problems many video surveillance systems are introduced in the market those are based on video surveillance monitored by humans and some are AI-based. We want to develop an effective surveillance system using machine learning to detect anomalous activities and raise an alarm. Video Surveillance is an activity of looking at some behaviors that need attention or some anomaly activity that is taking place or to observe a scene that is different from that of a normal one. This paper focuses on Video Surveillance in banking sectors to detect abnormal activity.
Keywords: Surveillance, CCTV, video analytics, ethics, regulation, computer vision, cyber-physical system, and action modeling.