Railway Track Crack and Key Detection Robot using IoT

An autonomous railway track fault detection system inspects every large and small-sized metals to detect any faults or defects in the railway track. This system can be actively used by the railway key man, who walks 8km everyday to inspect the defects. The main aims of the proposed study is to design and develop a system to effectively inspect, locate and report about the cracks or any other metallic damages to the appropriate authority. The proposed robot includes two Laser transmitter, Raspberry Pi 3 model, GPS (Global Positioning System) module, GSM (Global System for Mobile Communication) module and image processing-based track detection framework. Laser transmitter and receiver will identify the crack present in the track. The camera captures the damage in the railway lines, and later the captured image is utilized for analysis. GPS delivers the signal to Raspberry Pi 3, and further the GSM modules send an alarm message with the longitudinal coordinates of the region to the authorized contact that has already been saved in the robot.