I built a cornhole board that tracks a thrown bag with computer vision and adjust the board to make it land in the hole.
The cake is a lie.
Object recognition and detection for visually challenged people!
Most home camera systems have no concept of the content of images, here we add AI to detect when people are present in images.
This computer vision booth analyzes users throwing darts from multiple cameras, scoring each dart before logging data to the cloud.
I was looking for a way to show students how computer vision object classification and detection worked then I reached for another M&M...
A robot that can retrace a route by watching a prerecorded video of it.
MU Snake Bot can detect, follow and attack a human silhouette. Will you be scared of this snake bot?
One player uses facial expression to control their role, while the second player use the traditional gamestick to play the game.
A rubber band shooter that sits on top of a pan-tilt stage with computer vision abilities.
I created a crystal carver that crafts slices with MRI/CT; Micro-CT scan results are used to make otherwise time-consuming specimens.