AI Cameras in the Moscow Region Enhance Railway Safety
A new AI‑powered monitoring system in the Moscow Region is changing how authorities prevent railway injuries by detecting violations and identifying offenders in real time
Seeing Further, Acting Faster
Across dozens of stations and hundreds of thousands of daily passengers, nearly 200 AI‑equipped cameras now track far more than general movement.
Installed along platforms and ground‑level crossings, these devices analyze behavior in real time, flagging attempts to cross the tracks illegally or ignore warning signals. Unlike traditional CCTV, the system can identify the individual involved.
Based on the captured data, administrative‑violation reports are generated automatically and forwarded for review. Implemented by the regional Ministry of Transport, the project shows how artificial intelligence can prevent deadly incidents before they happen.
A Green Light for Public Safety
The initiative began with small‑scale pilots, such as the 2022 deployment at Udelnaya Station in the Ramensky district, where cameras first learned to detect red‑light violations and unauthorized crossings. By 2024, AI‑based safety monitoring became a regional trend.
Today, similar systems operate at 90 stations across 36 municipalities in the Moscow Region. Since the beginning of the year, the Safe Region system and on‑site inspections together produced more than 2,200 administrative reports — 400 more than during the same period in 2024.
The same camera network is now used to monitor cleanliness at bus stops, crowding levels, and even urban order, capturing violations such as illegal parking on lawns or obstructed waste‑collection sites.
Prioritizing Human Life
Railway accidents remain a critical national concern. Last year, 1,176 people were killed on the railways, including 87 children. In the first seven months of the current year, 580 people died — among them 40 children. Since early 2025, more than 200 fatalities have occurred in the Moscow Region alone.
To address this, the Ministry of Transport has proposed legislative changes allowing automated video‑based enforcement on railway tracks and crossings nationwide. If adopted, AI monitoring may soon become a standard safety tool across the entire Russian Railways network.
These systems are expected to integrate into broader digital ecosystems, including “digital twins” of railway stations — dynamic models where AI not only records violations but also predicts hazardous situations before they occur. With safety at stake, the technology offers substantial humanitarian value by reducing risks in environments where mistakes can cost lives.
