Accurate Measurement and Positioning Ensure Sorting and Picking Efficiency
Two-dimensional imaging is adequate for object structure/color recognition and defect inspection. To warehouses and logistics businesses, sorting and picking requires more spatial data, including height, depth, volume, shape, position, and direction, for recognition and presence check to reduce errors and ensure throughput.
Object Measurement and 3D Coordinates Eliminate Errors
For goods and parcels with different size and shapes, automated warehouses require a recognition system to enhance sorting and picking. Installed above the sorting space, the 3D ToF Smart Camera DMV-T with Machine Vision Software DIAVision conducts 3D imaging and transforms visual data into coordinates for robotic arms to accomplish accurate pick-and-place.
DIAVision also supports customized applications. Users can develop (de)palletizing processes based on specific products, spatial arrangements, and robotic arms. With the coordinates generated by the DMV-T, DIAVision integrates machine vision and robotic arms and enhances human-robot collaboration.