Smart Suspect Tracker Using Deep Learning Model

Abstract

Each human progress requires a problem free environment since it influences all components of monetary and social turn of events. Quite possibly the main work in keeping a serene local area is finding lawbreakers. In India, finger impression ID is  the most part used to distinguish lawbreakers In most of the cases,  The fact is that most Suspects these days are becoming more skilled at trying not to leave their thumbprint on the scene, this type of recognizable proof is restricted. CCTV cameras, have been placed in number of public spots and confidential spots to give reconnaissance activities. CCTV can be used to distinguish the denounced rapidly. we give a Profound Learning model to find the criminal location. It's a two-step process: In camera photos, countenances of individuals are first distinguished and afterward perceived. This method might be utilized in an assortment of surveillance cameras in different areas to persistently screen and look for hoodlums inconspicuous. The police headquarters will be cautioned of a suspect's where abouts after the person in question has been distinguished. The police headquarters will be cautioned of a suspect's when he/she has been found.