Public transport situation monitoring in real time

Image analysis in public transport

  • Integrated behavioural analytics identify falls, violent behaviour, suspicious activities, and early signs of medical emergencies.
  • Detection and alerting on abandoned luggage and other suspicious objects.
  • Capability to detect dangerous objects such as weapons for early warning of law enforcement.
  • Counting of objects and persons and capability to classify them (gender, age, ethnicity).
  • Valuable data source for predictive planning of transport resources and a tool for monitoring the public transport situation.

Basic description

The system enables real-time monitoring of public transport through intelligent image analysis, enhancing passenger safety and operational efficiency. It automatically detects incidents such as falls, violence, suspicious behaviour, abandoned luggage, and dangerous objects like weapons. Integrated behavioural analytics allow early identification of emergencies, enabling a faster and more effective response.

In addition, the system supports object and person counting, with classification by age, gender, or ethnicity. This data is valuable for transport planning and can be integrated into business intelligence (BI) tools. Heatmaps and movement tracking help optimize crowd flow, while facial recognition adds another layer of functionality—supporting security operations, locating lost individuals, and managing access control systems.

Technical description

For detailed system features and use cases see tcz.cz website.