MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611052065 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on April 23, for 'ai-enabled offline railway track fault detection and automatic train control system and working method thereof.'
Inventor(s) include Dr. Naresh Kumar; Vipul Kumar Gupta; Shashank Mani Tripathi; Shivam Kumar; and Shweta Prajapati.
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: "The present invention discloses an AI-enabled offline railway track fault detection and automatic train control system (100) and working method thereof. The system comprises a microcontroller unit (110), an infrared sensor module (120), an embedded artificial intelligence processing module (130), a motor control module (140), a GPS module (150), a communication interface (160), and a power supply unit (170), operatively configured for real-time monitoring and control. The infrared sensors detect track discontinuities, and the embedded machine learning model classifies track conditions into normal, crack, or break without reliance on external networks. Upon detection of a critical fault, the system automatically halts train movement and generates alerts while providing fault location through GPS. The invention enables low-latency, cost-effective, and reliable railway safety monitoring, particularly suitable for remote areas, thereby improving operational safety and maintenance efficiency."
Disclaimer: Curated by HT Syndication.
