Image Analysis in Public Transport

Public transport situation monitoring in real time

Image Analysis in Public Transport

Public transport monitoring for passenger safety and operational efficiency.
Behavioural analytics identify falls, violent behaviour, suspicious activities, and early signs of medical emergencies.
Detects weapons, abandoned luggage, and other suspicious objects.
Person and object counting with the capability to classify them (gender, age, ethnicity)./li>
Valuable data source for predictive planning of transport resources and situation monitoring.

Basic description

This system monitors public transport environments in real time using AI-powered image analysis. It improves passenger safety and operational awareness by automatically detecting incidents such as falls, violence, suspicious behaviour, abandoned luggage, and dangerous objects like weapons. Built-in behavioral analytics help identify emergencies early, enabling a faster and more effective response.

The system performs person reidentification across camera zones, tracking movement through transport hubs and vehicles. Heatmaps and movement analysis support crowd flow optimization and resource planning. Object and person counting is supported, with classification by attributes such as age, gender, or ethnicity. This data can be used for transport planning and seamlessly integrates into Business Intelligence tools.

Facial recognition adds another layer of functionality, supporting access control, locating missing individuals, and assisting security operations.

Technical description

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