In automated warehousing and logistics applications, cartons, soft packs, totes, and other packaged goods are typically stacked on pallets. Due to transportation, manual stacking, packaging deformation, and other factors, the actual stack pattern often deviates from its preset position. The 3D Vision-Guided Depalletizing & Palletizing Solution captures 3D information of the entire pallet, stack, and individual items, automatically identifying item position, height, dimensions, and stacking status. It then guides robots to perform layer-by-layer depalletizing, automatic palletizing, and other material-handling operations. Even when the pallet position changes, goods shift, or the stack is deformed, the 3D vision system can still obtain the actual picking position and coordinate data.
High-quality 3D imaging, application algorithms, and coordinated robot control enable reliable 3D vision performance in complex industrial environments.
Depalletizing and palletizing applications emphasize efficiency, and stack dimensions are typically large. Large-FOV 3D cameras cover the entire pallet and a large working area in a single scan, quickly acquiring complete stack information.
The 3D vision system quickly identifies the actual spatial position of cartons, totes, soft packs, and other regular or semi-regular packaged goods, and calculates accurate robot picking coordinates.
Without relying entirely on preset depalletizing coordinates, the 3D vision system automatically compensates for pallet offset, interlayer misalignment, and changes in item position.
General-purpose AI models quickly identify item dimensions and shapes, support a wide range of SKUs, and enable efficient picking and handling.
The vision system enables efficient and accurate data exchange with robots, conveyor lines, mobile robots, warehouse management systems, PLCs, and other equipment.
Handles closely packed, overlapping, tilted, reflective items and strapping interference