Depalletizing with computer vision and AI

A classic process of depalletizing (i.e., depalletization) is unloading the loaded object in the reverse pattern. But many factories and plants have automated their application with a palletizing robot solution.

Universal Depalletizer from Photoneo is a solution that combines 3D machine vision and advanced machine learning algorithms with smart robots. It unloads pallets full of various boxes that are not stacked in a pattern in a cost-efficient, safe, reliable, consistent, effective and fast way.

The classic delayerization is a process in which the robot gripper picks the whole pallet and, hopefully, grabs all the boxes it contains. Such process requires more unloading space and is less reliable than depalletization.

Smart depalletization, however, uses the artificial intelligence for achieving a higher level of unloading pallets, minimizing the placement area to the size of the largest box. Thanks to a lighter payload you can use a smaller robot arm and gripper, which leads to considerable cost savings.

Photoneo’s depalletization solution will make your buisness:

Thanks to:

The Photoneo’s MotionCam-3D is enhanced by a powerful GPU that can process as much as 15 million 3D dots/second. In this machine vision 3D camera, image processing and reconstruction of point clouds are performed.

The 3D camera is a key piece of Photoneo’s Universal Depalletizer. It provides recognition of boxes and takes care of greater efficiency and optimization of the depalletization process.

AI-driven solutions are undoubtedly the way to the future. Smart systems relieve the integrator of difficult 3D-related calculations and the need to design, test or debug.

However, you need some basic mechanical knowledge on how to differ grippers for different task.