Mobility has become a major social issue. Indeed, it guarantees the accessibility, attractiveness and quality of exchanges but it also generates many costs: financial costs (development and infrastructure) as well as social and environmental costs - lost time, degraded quality of life, noise, air pollution or greenhouse gas emissions. Therefore, the University's Environment and Mobility Department is currently working on a sustainable mobility policy to promote alternatives to the use of private car, including through the development of campus public spaces for cyclists.

In this context, the objective of this master's thesis is to design a camera device connected to a raspberry pi tracking bicycles in real-time on ULB campus in order to extract information like the number of in/out bikes per hour or the number of parked bikes in a zone.
The tracking algorithm based on e.g. YOLO will run on the raspberry pi so that only the counted values will be sent in real-time via the SmartCampus infrastructure, and not the images.

https://telraam.net/

Contacts : Rudy Ercek (rercek@ulb.ac.be), Sophia Azzagnuni (Sophia.Azzagnuni@ulb.ac.be), Olivier Debeir (odebeir@ulb.ac.be)