Аннотация
This research investigates the synergy between com-puter vision and programmable logic controllers (PLCs) for enhancing material recycling efficiency. Focusing on aluminum can and glass bottle recycling, this study develops and simulates a user-centric vending machine system. The system employs a convolutional neural network (CNN) for accurate object recog-nition, integrated with a PLC-based control system via the OPC UA communication protocol. By incentivizing recycling through discount offers, the vending machine aims to promote sustainable waste management practices. Successful simulation demonstrates the feasibility of this approach, highlighting the potential for computer vision and PLC integration in the development of advanced recycling solutions.