Deep learning streamlines tasks involving automatic positioning, identification, and classification within a single image's multiple characteristics. Depending on various item dimensions, shapes, and surface attributes, the system discerns and groups distinctive features accordingly. Users can train assembly positioning and verification tools to find desired items. Afterward, the picture gets segmented into separate sections, allowing the tool to assess the presence of the required item and validate its kind, regardless of orientation and lighting settings. Furthermore, deep learning finds and identifies flyers inside boxes, averting recalls and assuring patient safety.