Intelligent System For Monitoring Line Of Safety In Railway Platforms

Electronics And Communication Engineering

In today’s world, population growth is increasing rapidly. The sequential growth in the population has resulted in many passengers using the railways. This population growth has resulted in the development of more 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 utilised in retail environments, determining conversion ratios, advertising, and video surveillance. This project presents a model for estimating the number of people in railway platform scenarios based on YOLO’s deep neural network algorithm. YOLO has high accuracy in object detection. We have developed a system capable of automating the lighting on railway platforms based on the passenger count on those platforms and alerting us if a person is in an unsafe zone at the time of train arrival.

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