Leveraged OAK-D cameras with YOLOv5 model and point cloud segmentation algorithms to accurately assess wheel offset for seasonal tire swaps, achieving sub-millimeter precision

Developed a low-cost, full-stack perception system using point cloud processing and machine learning algorithms for accurate wheel handling on hubs, saving $20,000 per system