Using Existing CCTV Networks for Crowd Management and Crime Prevention using Deep Learning
P. C. Charankumar, B. Sunil, Yash Nishant, Malneedi Vamsi, Ms. S. Hemalatha · 2024
The Indian Railways is one of the largest railway networks in the world, serving millions of passengers daily. However, with the increasing number of passengers and trains, challenges like High passenger volume and increase in crime rate. RailEye is a cutting-edge railway crime detection solution leveraging AI for crowd management and safety in railway stations. Comprising three integral modules, it ensures comprehensive surveillance and prevention. The Crowd Management module incorporates Crowd Count, Monitoring, and Human Trajectory Prediction, optimizing station operations. Anomaly Detection and Crime Classification employ advanced techniques like 3D CNN and SlowFast Action Recognition to swiftly identify and classify suspicious activities, enhancing security measures. Lastly, the Person Tracking and Re-Identification module utilizes OpenPose and DeepSort algorithms for accurate tracking and re-identification, facilitating efficient monitoring and response. RailEye stands as a beacon of safety, revolutionizing railway security through advanced AI technology.