Raspberry Pi Detects Factory Defects with Machine Learning
This defect detection platform uses Modzy, a Raspberry Pi Zero W and a Raspberry Pi Camera Module to detect part defects.
This defect detection platform uses Modzy, a Raspberry Pi Zero W and a Raspberry Pi Camera Module to detect part defects.
"A Raspberry Pi Camera Module acts as the eyes of the production line monitor, feeding real-time images from the production line. A computer vision model analyses the images to detect broken teeth, scratches, and dents in 3D-printed spur gears as they roll through on the homemade 'conveyer belt.' When the model detects a defect, Modzy’s system updates and timestamps a log, recording what was wrong with the spur gear and exactly when it rolled past the detection point on the production line."
Read the full post on Raspberry Pi's blog linked here.