Source: https://www.eastmojo.com/national-news/2024/09/06/nfr-introduces-automatic-train-examination-system/
Publisher: EastMojo
The Northeast Frontier Railway (NFR) has taken a significant step towards enhancing railway safety with the installation of a prototype Automatic Train Examination System (ATES) at its rolling in and rolling out examination point in New Jalpaiguri. This advanced system, powered by Artificial Intelligence (AI), is designed to monitor and analyse the condition of rolling stock in real-time, improving the efficiency and reliability of train operations.
The ATES system uses cutting-edge AI technology to capture, process, and analyse visual data, such as images and videos, from passing trains. Equipped with four cameras and four sensors strategically placed on both sides of the track, the system is activated as soon as a train passes through. The sensors record crucial information, such as the temperature of the axle box bearings and the wheels, which is then processed for potential faults.
If the system detects that the temperature exceeds the set threshold, it immediately generates an alert message. This early warning allows railway operators to take timely action, preventing equipment failure and significantly reducing the risk of accidents.
In addition to monitoring axle box bearings and wheels, ATES can identify wagon coach numbers, allowing for better train scheduling and axle-specific data management. This detailed information improves maintenance planning and helps prevent operational issues.
ATES can also inspect train doors to ensure they are properly closed and undamaged. By providing real-time updates on door conditions, the system alerts operators to potential hazards or maintenance needs, ensuring passenger safety and preventing service disruptions.
Currently, the ATES is in its observation stage, with continuous refinements being made to its operational capabilities. Once fully operational, the system is expected to significantly reduce potential train hazards, improve safety, and enhance cost-efficiency in railway operations.
