Regions Across Russia Are Turning to AI to Find the Missing
Neural Networks Are Proving Highly Effective in Law Enforcement and Search Operations
In Russia’s Arkhangelsk region, a locally developed neural network has helped locate more than 40 missing people. The same technology, created by Moscow-based company NtechLab, has also assisted police in solving over 300 crimes and identifying 1,500 offenders. It’s a striking example of how digital transformation is reshaping public safety and investigative work across the country.
The system relies on ultra-fast video analysis. It processes live footage from city surveillance cameras, identifying a suspect or missing person in a crowd within fractions of a second. With an accuracy rate exceeding 99.9%, the software has become an indispensable tool for Russian law enforcement. AI systems are also being used to analyze recordings from crime scenes, making investigations faster and more precise.
The Neural Network That Works Ahead of Time
According to NtechLab, the neural network is capable of acting proactively — not only helping to solve crimes more quickly but also preventing them in many cases.
The importance of this Russian innovation extends far beyond a single region. What makes it unique is its ability to integrate seamlessly into government systems. In the Moscow region, a similar platform has already helped reunite more than 1,000 lost pets with their owners, while in Novosibirsk, it’s being tailored to search specifically for missing children.
As more Russian regions deploy these neural networks, the technology is emerging as a blueprint for how artificial intelligence can enhance public safety — balancing rapid detection with a growing conversation about privacy and digital ethics.
