In collaboration with Südostbahn (SOB), we have developed an artificial intelligence system capable of accurately identifying and categorizing various types of luggage through surveillance camera footage. This pioneering project is now being rolled out on a large scale by SOB.

Our video analysis system leverages the existing surveillance cameras installed in the trains. The AI operates autonomously on each train, conducting real-time analysis of the video feed and transmitting the outcomes to a central server. Importantly, this analysis is conducted in a fully anonymous manner, adhering to the most stringent data protection standards, both in Switzerland and in the EU.

Up to this point, public transport operators have traditionally relied on installing multiple sensors to count various objects, a method that posed limitations in terms of expandability and had a relatively short hardware life cycle. Our video analysis technology renders this approach obsolete.

The potential benefits for public transport customers are significant. With our technology, existing occupancy forecasts will significantly improve and can now incorporate luggage areas as well. Furthermore, the precise data enables the predictive adjustment of configurable compartments, a feature currently under testing by SOB.