A Novel Approach to Detect Crimes and Assist Law Enforcement Agency using Deep Learning with CCTVs and Drones
Manish Pawar · International Journal for Research in Applied Science and Engineering Technology · 2019
In India, crime has always been a serious issue and it is strenuous to tackle it due to lack of technology. The current security techniques are precarious and cannot be trusted, due to the negligence of the authorities and the policy setters, there's a monumental rise in the number of crimes taking place daily like kidnapping, abduction, molestation, etc. India ranks 133 out of 167 countries in Women, Peace and Security Index with Indore reporting the highest crime rate (769.1) among the megacities in India, followed by Bhopal (719.5) and Jaipur (597.1). Thus, an improved security system near bus-stops, schools, neighborhoods, and other public places is mandatory to detect violent or abnormal activities to avoid any casualties which could cause social or economic damage. The main focus should be to aid law enforcement agencies to avert the outbreak of violence by monitoring crime scenes and alerting the respective security officials. There is a need to instigate fear and perturbation in the minds of the criminals that they will get caught on committing any type of crime. Several image-based extraction techniques with smart methods of deep learning and artificial intelligence will help support the security officials to detect, monitor and track the perpetrator. Thus, we present a smart way to reduce violence, by criminal activity detection and recognition in a particular CCTV's field of view and make the drone identify, track and chase the criminal till he or she gets apprehended.