Seat Seeker started at a hackathon with JISC in the summer of 2018, with
the aim to use technology to improve the student experience. The
Raspberry Pi, which we had taped to a coat rack and balanced on the
table, used it's camera to detect if there had been any motion on any of
the seats. If there was, it would notify a webserver which would update
a live occupancy graph.
After winning the hackathon and talking to some of the industry professionals that we met, we decided to continue developing Seat Seeker. We changed our detection algorithm to recognise the shape of a person, to allow us to detect people more accurately and developed multiple graphing tools to allow users to view occupancy over time, and a heatmap to show the favoured locations for people to sit.