Implementation of IoT Based Defect Detection in Railway Tracks

EasyChair Preprint 9781

Abstract

To ensure public safety, railway transportation needs regular inspections and immediate maintenance. Long - handled evaluations are not only simply time consuming, and the accuracy of defects identification is also dependent on the inspector's skill and productivity. Robots may be placed in locations that are hard to access, such railroad lines, and they can be controlled from control rooms to enable quicker inspection. Automation- based IoT solutions are provided by computing and robotics. The robot has an infrared sensor that it uses to detect cracks in the railway track. When it finds a crack, the robot stops and sends its location to the cloud, allowing for the identification of the cracks.

Keyphrases: ESP32-CAM, IR sensor, Motor drivers

@booklet{EasyChair:9781,
  author    = {Gundala Pavani and Koduru Vyshnavi and Konathala Chandini and Mannem Aravind and Manda Prince Anuroop},
  title     = {Implementation of IoT Based Defect Detection in Railway Tracks},
  howpublished = {EasyChair Preprint 9781},
  year      = {EasyChair, 2023}}