AI to help identify dangerous drivers before accidents in Almaty
A preventive road risk management concept has been unveiled in Almaty by Sergek Group. The company is testing a new AI-powered platform that identifies dangerous drivers before an accident occurs.
Neural network and driver behavior
According to Sergek Group Chief Product Officer Nigmet Abdrakhmanov, the existing video recording model primarily addresses the consequences of violations. The company’s new AI platform uses city cameras as a unified sensor network to improve road safety.
Algorithms automatically generate driver behavior profiles: consistent speeding and dangerous lane changes immediately trigger alerts. On suburban highways, the system analyzes driving patterns and can recognize early signs of driver fatigue. At the same time, the AI identifies potentially dangerous road sections where traffic interactions statistically precede collisions.
«The main goal is to shift the operation of security systems earlier on the timeline — to identify risks before an impact occurs. Our team of developers and engineers is currently working on a new product that will soon be tested and implemented by authorized agencies,» Abdrakhmanov said at a road safety workshop.
Rapid notification of police patrols
The new platform architecture integrates stationary AI infrastructure, deep transport analytics, the Qorgau mobile response app and a unified database.
The entire incident lifecycle takes no more than two minutes, as the neural network immediately notifies the police upon detecting anomalous behavior. The key difference from traditional systems is that this data is sent directly to police officers on patrol, rather than being stored in a processing center.
Road geometry and AI
Another area of the platform’s work is analytics for urban planning decisions. If violations repeatedly occur in the same location, the system flags potential issues in the road’s design.
Local authorities and relevant agencies can use the collected data and AI-generated reports as evidence to modify road geometry, adjust traffic light timing and install additional safety features. In other words, the technology can make city policy more transparent while helping prevent accidents.
