CV4Sorter: Computer vision for smart logistics
FH JOANNEUM's CV4Sorter uses modern computer vision and deep learning for smart logistics. As part of RADIUS, YOLO models are used to detect, classify and sort objects in real time – components, packages, etc. This makes production and logistics processes more efficient, safer and more sustainable. The processes transfer research directly into practice: higher quality, fewer errors, intelligent automation in production, quality control and shipping.
