A railway car that can detect cracks on railway track and sends the respective location.
The Railway Track Fault Detection Car project integrates NodeMCU, an ultrasonic sensor, L293D motor driver, and DC motor to create a versatile system for detecting faults along railway tracks. When the car identifies any cracks or damage in the railway tracks, it promptly transmits the location information using the GSM module and Google Maps API. This real-time data is then securely stored in Firebase, ensuring reliable and accessible logging of track conditions. The integration of these technologies facilitates swift response and maintenance, enhancing railway safety and operational efficiency. This project exemplifies the application of IoT and cloud computing in railway infrastructure management, aiming to minimize downtime and improve overall track maintenance processes effectively.
