Face, Expression and Gesture Recognition and Compilation in Database Using Machine Learning

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In today's scenario, numbers of crimes have increased day by day. At many public places government has placed many CCTV cameras so police can get that CCTV footage to identify the suspects but sometimes it becomes difficult to recognize the criminals So here we have come up with a solution to make this process smooth, easier than the traditional one. The system which automates all the suspect recognition process and provides better solutions to reduce the increasing rate of crimes. We plan to design a system to capture face, expressions and gestures of the targeted people (Criminals) through distributed CCTV System and are maintaining it in a database along with time and location stamp. The compiled database will be used to identify suspects from video clips of crime related CCTV footage captured series of CCTV Systems located on routes and close to scene of crime. This research discusses the various types of methodologies that can be used to identify the suspects which are captured in CCTV footage and convert it into useful information for further analysis of particular crime cases.