Indian Railways is set to deploy a cutting-edge artificial intelligence (AI) based locking monitoring system named DRISHTI on its freight wagons, aimed at drastically reducing manual inspections and improving safety for long-haul freight operations. The initiative comes as part of Indian Railways’ broader push to integrate digital technologies for real-time monitoring, predictive maintenance, and enhanced operational safety.
The DRISHTI system has been developed in collaboration between the Northeast Frontier Railway (NFR) and the Indian Institute of Technology Guwahati Technology Innovation & Development Foundation (IITG TIDF). The prototype has already been under trial for nearly ten months on selected wagons, and preliminary results have shown encouraging accuracy and reliability.
The AI-powered system uses advanced cameras and sensors strategically mounted on freight wagons to monitor door positions and locking conditions in real time. It can automatically detect if a door is unlocked, tampered with, or improperly secured during transit. This represents a significant advancement in freight safety, especially for long-haul trains where manual inspection of every wagon door is often impractical and time-consuming.
According to officials, the DRISHTI system provides real-time status updates on door lock conditions, detects abnormal events during movement, and issues automated alerts to railway personnel without disrupting normal train operations. By shifting from traditional manual inspections to an automated and data-driven monitoring approach, Indian Railways aims to increase transparency, reliability, and efficiency in its freight operations.
The adoption of DRISHTI is expected to enhance sealing integrity, reduce human intervention, and minimize the risk of theft, accidents, or cargo damage caused by improper locking. It also aligns with Indian Railways’ larger mission to modernize its systems through AI, Internet of Things (IoT), and automation technologies, contributing to more efficient logistics management and improved turnaround times.
Industry experts believe the move reflects a strategic transition toward intelligent rail infrastructure. As freight volumes continue to rise and trains become longer, relying solely on manual locking checks poses both safety and efficiency challenges. DRISHTI’s integration represents a significant step in making Indian freight corridors safer and more technologically advanced.
The system’s scalability and long-term performance will be key factors in determining its success. Challenges such as ensuring durability of sensors and cameras in heavy-duty environments, integrating the data with existing railway systems, and minimizing false alerts will require continuous monitoring and refinement. Training personnel to interpret system alerts and respond swiftly will also be crucial in achieving seamless adoption across zones.
Nevertheless, the potential benefits are substantial. The DRISHTI system promises to reduce unscheduled maintenance stops, enhance cargo security, and prevent operational disruptions. Over time, it could lead to cost savings through improved asset utilization and reduced dependency on manual inspections.
With the introduction of DRISHTI, Indian Railways is taking a decisive step toward smarter and safer freight operations. If successfully implemented nationwide, this AI-based system could mark a major leap in India’s railway modernization efforts, setting new standards for real-time monitoring and operational safety in the global freight sector.
