MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621044060 A) filed by Symbiosis International, Pune, Maharashtra, on April 6, for 'iot-based real-time railway track monitoring and crack detection system using machine learning.'
Inventor(s) include Dr. Kiran Siripuri; Prof. Rajanikanth Aluvalu; and Mr. Sai Prashanth Mallellu.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "An IoT-based system (1000) integrating machine learning algorithms for real-time continuous monitoring of railway track integrity is disclosed. The system comprises a plurality of sensor modules (100) mounted on rails measuring vibration and strain parameters, communicating wirelessly (135) with a central processing unit (200). The central unit implements an anomaly detection module (300) utilizing machine learning algorithms to analyze sensor data and detect early signs of rail cracks or fractures by comparing extracted vibration features against baseline patterns. The system automatically generates alerts upon detecting potential cracks, interfacing with railway signaling systems (230) and maintenance notifications to enable preventive response before rail failures occur. Sensor modules (100) are powered by batteries and solar panels (140, 142) for autonomous continuous field operation across extensive track networks. The invention provides continuous autonomous track health surveillance improving railway safety by proactive identification of railway defects, thereby preventing derailments through timely maintenance intervention."
Disclaimer: Curated by HT Syndication.
