A group project for tracking meeting room occupancy with cameras and AI-based person detection, displayed on a live dashboard. Designed for iO Digital (https://www.iodigital.com) through Fontys ICT.
iO Digital is facing inconsistencies in their meeting room booking system, with rooms appearing as “in use” even when unoccupied. The goal of the project is to build a monitoring system that counts the number of people in a room. The data is to be processed locally and sent to a web dashboard that displays each room, its current occupancy, and its status. The system is to be scalable and capable of being implemented across multiple iO locations.Firstly, using cameras, we scan the room for people while protecting their identities for privacy reasons:
Afterwards we log the number of people in each room and in case the room is empty 15 minutes after the meeting was supposed to start, we send a warning message. If a user logs in, they can add new rooms and cameras. This ensures that the system can be easily implemented in multiple locations.
git clone https://github.com/kaloyanrakov/iO-Room-Detection.git
cd iO-Room-Detection