Robotic vision for automated depalletizing
We develops deep learning algorithms to enable automated handling of unknown objects varying in shape, size, color, material, and stacking.
Our algorithms empower robots to robustly cope with unknown SKUs when it comes to depalletizing, whether they are boxes, closely stacked or overlapping items and accurately place them on infeed sorters. Our software is specialized in segmenting, classifying and finding the best grasp locations to pick parcels from the pallet and help automate the manual induction process.
Price: on request