For randomly stacked workpieces in bins, boxes, or totes, traditional 2D vision often struggles to accurately obtain height, orientation, and occlusion relationships. The 3D Vision Bin Picking Solution captures 3D point cloud data to identify the position, orientation, and stacking relationship of different workpieces. Combined with diversified grasping strategies, collision detection, AI deep learning, and robot motion path planning, the system guides robots to automatically select and pick target workpieces from complex piles. The solution is widely applicable to random picking of automotive parts, machined metal parts, die castings, forgings, electronic components, and various irregular workpieces.