Failure detection in production has historically relied on a combination of human inspection, statistical controls, and traditional sensors. However, the increasing complexity of processes, the pressure to reduce scrap, and the need for real-time traceability have highlighted clear limits in these approaches. In this context, a frequently asked question on the shop floor is: How
Depalletization, the process of removing products from a pallet, is a fundamental task in logistics and manufacturing. For years, this work has been labor-intensive, repetitive, and physically demanding, making it prone to human error and injury. However, with the advancement of industrial robotics and computer vision, the question of whether to automate depalletization has become
