Year: 2021/2022
Country: Italy
Clients: MERMEC for Regione Toscana
Background: video analytics is an emerging field leveraging computer vision and machine learning to analyze video feeds and automatically extract useful information. Pervasive monitoring of all areas of the vehicle or station is impracticable by human operators
Challenge: design, development and prototype testing of an automatic, comprehensive and accurate analytic system, allowing operators to quickly detect potential safety or security issues and take appropriate action
Execution: thanks to machine learning and artificial vision techniques, the system is capable of combining the output of a set of parallel processing, all running onboard in real-time, thus allowing the separation of the information collected from actual Results: a GDPR-compliant, pervasive vision architecture for improved safety and security monitoring in the context of public transport (e.g., unattended bags or suspicious behaviors)