Pool++

Pool in black and white.

Best In Show and People’s Choice at San Francisco Science Hack Day 2015.

This was a father (hardware) and son (software) project done over 2 days. We instrumented a pool table with a LIDAR and an overhead camera — determining the precise location of the balls and the cue using computer vision and time of flight data. These coordinates were fed into a physics engine which would predict the outcome of the shot, which were in turn drawn onto the table using a high-powered laser.

Raphaël John Lamarre Townshend
Raphaël John Lamarre Townshend
PhD Fellow in Computer Science

Bringing machine learning to an atomic world.