The random depalletization of clothing in the textile e-commerce industry represents a unique challenge, as it involves processing products often originating from e-commerce shipping returns, which can be packaged in cellophane or loose. To address this complexity, various types of specialized grippers have been designed and patented, some based on vacuum technologies and others mechanical.The heart of this process lies in SIR advanced 3D vision systems, equipped with artificial intelligence modules based on deep learning and machine learning. These systems are capable of accurately recognizing any type of garment, regardless of its color, size, material, and the disorderly conditions in which it may be found, ensuring efficient and precise handling of depalletization in the textile e-commerce sector.
