Russia Is Using Neural Networks to Watch Over Its Train Stations

AI-powered cameras are cracking down on trash, trespassing — and dangerous shortcuts across the rails

In Russia, keeping train stations clean and safe is no longer just a human job. AI-powered surveillance systems are now monitoring rail infrastructure — spotting everything from improperly discarded trash to unsafe pedestrian crossings. In the Moscow region alone, 90 stations across 36 districts are already under the watchful eye of neural networks.

And the numbers back it up. Since the system’s rollout, over 2,200 violations of rail-crossing rules have been detected this year — 400 more than the same period last year. Thanks to facial recognition, enforcement isn’t just automated — it’s personal.

The government hopes the discomfort of paying fines will act as a powerful deterrent — and that the AI’s presence will sharply reduce infractions. But the neural networks aren’t just watching the rails: 656 smart-monitored bus stops are already operating in the region.

Moscow officials plan to keep scaling up — and are preparing to export the digital infrastructure to other parts of the country.