What Happened
- Indian Railways has deployed and piloted multiple AI and Machine Learning-based systems to enhance safety and operational efficiency, as reported to Parliament.
- The Machine Vision Inspection System (MVIS) — an AI/ML system that detects hanging, loose, or missing components on moving trains — has been installed in Northeast Frontier Railway (3 units), DFCCIL (2 units), and South East Central Railway (1 unit) on a pilot basis.
- Kavach 4.0, the latest version of the automatic train protection system, was commissioned on 472.3 route-km in a single month (January 2026) — the highest monthly deployment figure yet; total Kavach coverage now exceeds 2,200 route-km.
- Consequential train accidents have declined sharply: from 135 in 2014-15 to 31 in 2024-25, and further to 11 in 2025-26 (up to November).
- A Rail Tech Policy was adopted on February 26, 2026, with a portal launched for innovators and startups to participate in railway technology development.
Static Topic Bridges
Kavach — Automatic Train Protection System
Kavach (meaning "armour" or "shield") is an Indian-developed Automatic Train Protection (ATP) system designed to prevent train collisions. It was developed by the Research Designs and Standards Organisation (RDSO) in collaboration with Indian industry under the Make in India programme. Kavach automatically applies brakes if a train passes a signal at danger (red light), crosses a speed limit, or approaches another train within a defined safety margin. The system uses Radio Frequency Identification (RFID) tags, GPS, ultra-high frequency radio communication, and an onboard logic unit. Kavach is being certified for deployment at Kavach 4.0 as an SIL-4 (Safety Integrity Level 4) system — the highest safety standard globally for railway protection systems.
- Kavach development: RDSO + three Indian companies (Medha Servo Drives, HBL Power Systems, Kernex Microsystems).
- Kavach 4.0: Currently deployed version with improved GPS integration and faster brake activation.
- Kavach coverage (as of March 2026): Over 2,200 route-km; Kavach 4.0 specifically covers 1,306.3 route-km in five zones including Delhi-Mumbai and Delhi-Howrah corridors.
- National deployment target: 6,000 route-km by 2024-25 (partially achieved); full network (~34,000 route-km) targeted over the next decade.
- SIL-4 certification: Means the system is allowed to fail in a safety-critical manner only once in 10,000 years of operation.
Connection to this news: Kavach represents the centrepiece of Indian Railways' safety technology programme; the January 2026 acceleration to 472.3 km/month deployment rate signals a critical phase in nationwide rollout that aims to make collision accidents virtually impossible on covered routes.
Machine Vision and AI in Railways — MVIS and Smart Monitoring
Machine Vision Inspection Systems (MVIS) use high-speed cameras, image processing algorithms, and AI/ML models to automatically inspect rolling stock (wagons, coaches, locomotives) in motion for defects that could cause derailments or component failures. Traditional manual inspection at nominated checkpoints (Examination Points) is limited by human fatigue, lighting conditions, and train speed. MVIS systems can inspect trains passing at speed, generate real-time alerts, and create digital audit trails. Beyond MVIS, Indian Railways has deployed or piloted: thermal imaging for hot axle detection, drones for track and bridge inspection, AI-based predictive maintenance for locomotive engines, and real-time track geometry measurement systems.
- MVIS pilot units: 3 in NF Railway, 2 in DFCCIL, 1 in SECR — primarily for freight rolling stock.
- RDSO is developing MVIS for coaching stock in collaboration with industry through an Expression of Interest (EoI) process.
- An MoU between Indian Railways and DFCCIL enables cross-deployment of technology between the dedicated freight network and mainline railways.
- AI-based predictive maintenance uses sensor data from locomotive components to predict failures before they occur, reducing unplanned downtime.
- Drones are used for inspection of difficult-to-access bridge structures, tunnels, and mountain section tracks.
Connection to this news: The parliamentary disclosure of MVIS deployment statistics and the broader AI/ML programme demonstrates Indian Railways' transition from reactive (post-incident) to proactive (pre-failure) safety management — a paradigm shift with significant implications for India's train accident record.
Rail Tech Policy 2026 and Innovation Ecosystem
The Rail Tech Policy adopted on February 26, 2026 is a framework designed to accelerate technology adoption and innovation in Indian Railways by opening the system to private innovators and startups. The policy provides a structured pathway for startups and technology companies to propose, pilot, and scale new technologies across the railway system — addressing a historically siloed and bureaucratic procurement culture. The supporting portal enables online submission of technology proposals, evaluation by a Network Planning Group (NPG) equivalent at Railways, and fast-track pilots.
- Rail Tech Policy adopted: February 26, 2026.
- Portal launched simultaneously to facilitate innovator and startup participation.
- Background: Indian Railways has historically been a government monopoly with limited private technology participation; Make in India and Atmanirbhar Bharat initiatives have opened procurement to domestic industry.
- The policy builds on earlier frameworks like the Rashtriya Rail Sanraksha Kosh (RRSK) — a dedicated Rs 1 lakh crore safety fund established in 2017 — which has been the primary source of Kavach deployment funding.
- RDSO: The research, design and standards body of Indian Railways; certifies all new technologies before deployment.
Connection to this news: The Rail Tech Policy institutionalises the framework under which technologies like MVIS and future AI-based systems will be developed and deployed, signalling a structural shift in how Indian Railways innovates.
Key Facts & Data
- Kavach 4.0 coverage: 2,200+ route-km total; 1,306.3 km in Kavach 4.0 across 5 zones (Delhi-Mumbai, Delhi-Howrah corridors included).
- January 2026 deployment: 472.3 route-km Kavach — highest monthly deployment.
- Consequential accidents: 135 (2014-15) → 31 (2024-25) → 11 (2025-26 up to Nov).
- MVIS units: 3 in NF Railway, 2 in DFCCIL, 1 in SECR.
- Rail Tech Policy: Adopted February 26, 2026.
- Kavach developer: RDSO + three Indian companies.
- Kavach safety standard: SIL-4 (Safety Integrity Level 4).
- Funding source: Rashtriya Rail Sanraksha Kosh (RRSK) — Rs 1 lakh crore safety fund (2017).
- Indian Railways network: ~68,000+ km of track; ~35,000+ route-km total.
- DFCCIL: Dedicated Freight Corridor Corporation of India Limited.