Design and Development of Deep Learning Based Model for Video Analysis

Abstract

Abstract: In order to analyze video streams and extract particular features or patterns, such as object recognition, motion detection, facial recognition, or behavior analysis, video analysis employs computer vision and machine learning techniques. Analyzing video footage to spot suspicious activity or items and locate people or vehicles is part of the process. This approach comprises keeping an eye on and controlling traffic at crossings, on roads, and in highways. It entails reviewing video footage to find traffic jams and overcrowding and to offer prompt alerts or suggestions for crowd management