Improving safety in high-traffic environments and complex intersections requires more than reactive accident analysis. Identifying near misses and unsafe interactions before incidents occur is essential to prevent casualties and optimise infrastructure investments.
An AI-driven video analytics solution using fixed and drone-based cameras detects and analyses unsafe traffic situations.
Computer vision models automatically identify and track road users such as pedestrians, cyclists and vehicles. By converting image coordinates into geospatial trajectories, movement patterns and conflict situations can be analysed over time. The system enables detection of near misses and recurring risk patterns, supporting proactive intervention and targeted safety measures.
