Accident Surveillance System in Nh4 Using Video Analytics

Nowadays the usage of vehicles in this busy world is tremendously increased. Due to the lack of smooth and safe driving awareness, there is a drastic increase in accidents on national highways. Traffic rules are not strictly followed by everyone, especially by illiterate drivers. So, there are some possibilities for hit and run cases. Hit-and-run cases have become a frequent norm for road accidents. This has to be avoided and we need to identify the real victims who are involved in the crime. In this novel work, we have addressed the problems faced in the forensic crime detection domain mainly the Hit and Run case scenario & also we have introduced some novel solutions to identify the victims using video analytics on NH4 tolls. Installation of CCTV cameras on toll gates helps identification of the victim's vehicle. In this novel method, we have a technique to detect and identify a victim's vehicle that is involved in a hit and run case. Gaussian mixture analysis is used to detect the object. To recognize the object SURF , SIFT and Classification algorithms are used .