Iot Based Flaw Detection System In Railway Tracks

Abstract

Railway Transportation Is A Critical Infrastructure In India And Many Other Countries, Serving Millions Of Passengers Daily. Ensuring Track Safety Is Paramount To Preventing Accidents Caused By Cracks, Obstacles, Or Derailments. This Paper Presents An IoT-based Flaw Detection System In Railway Tracks Using An Arduino-controlled Robotic Vehicle Equipped With IR Sensors (for Crack Detection) And An Ultrasonic Sensor (for Obstacle Detection). The System Integrates A GPS Module To Log Real-time Location Data And A GSM Module To Send Instant SMS Alerts To Railway Authorities, Including A Google Maps Link For Precise Fault Localization. This Vehicle Detects Defects, And Stops Operation Upon Identifying Defect. The Proposed Model Enhances Railway Safety By Providing Automated Fault Detection, And Alert Generation, Reducing Reliance On Manual Inspections. Its Low-cost, Scalable Design Makes It Suitable For Widespread Deployment In Railway Maintenance Vehicles. The Results Demonstrate Crack And Obstacle Detection With Accurate GPS-based Location Reporting, Proving Its Effectiveness In Improving Track Maintenance Efficiency And Accident Prevention.

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