Intelligent System for Monitoring Line of Safety in Railway Platforms

In Today's World Population Growth is increasing Rapidly. The sequential growth in population has resulted in many Passengers using Railways. This population growth has resulted in the development of mo re strict safety requirements for railway signaling, control, and infrastructure. Accompanying that trend, machine learning techniques have also advanced rapidly in recent years. People Count Monitoring systems point at naturally evaluating the number of individuals in indoor and open-air places. They can be utilized in retail environments, determining conversion ratio, advertising, and Video surveillance. This project presents a model for estimating the Count of people in Railway Platform scenarios based on YOLO's deep neural network algorithm. YO LO was com pare d with two other algorithms such as Mask-RCNN and SSD to ensure its accuracy in Object detection. We have developed a system capable of automating the lighting on railway Platforms based on the Passenger Count on Railways Platforms and alerting if a person is in an unsafe zone at the time of Train arrival.