Railway Crack Detection Robot

Abstract

In the past, manual detection of cracks and discontinuities in railway tracks was not only time-consuming but also prone to inaccuracies. To address this issue, a robot was developed for the easy, accurate, and cost-effective detection of such flaws. The purpose of this project is to present The development of a railway crack detection robot using Arduino (UNO) microcontroller board, Bluetooth module, GPS module, infrared sensor for crack detection, ultrasonic sensor for train detection, LCD module, and beeper. The robot is designed to accurately and efficiently detect cracks on railway tracks, allowing for prompt maintenance and repairs to be conducted, thereby improving the safety and reliability of train transportation. The report provides a detailed description of the software and hardware components used in the development of the robot, as well as the design and implementation of the detection algorithms. The crack detection algorithm uses an infrared sensor to detect cracks on the railway tracks, while the ultrasonic sensor is used to detect the presence of a train in the vicinity. The GPS module is used to provide the robot’s location data, which is displayed on the LCD module. The robot will provide audible and visual alerts through the beeper when it detects cracks or trains in its path. Overall, the railway crack detection robot has the potential to improve the safety and efficiency of railway transportation by detecting cracks early and allowing for timely maintenance and repairs.