Recycling of printed circuit boards by robot manipulator: A Deep Learning Approach

The reuse of electronic components from waste printed circuit boards: a critical review

“…The system successfully separates ECs such as ICs, capacitors, relays, and rectifiers. The cost of the system is low because the system uses a simple webcam and a basic microcontroller for identification and sorting, Naito et al 126 proposed a deep learning based PCB recycling system which performed well in the identification and classification of recycled components. In this system, a mechanical gripper with sensors uses convolutional neural network (CNN) processed images to identify different types of ECs and clip them for separation.…”

Discarded e-waste/printed circuit boards: a review of their recent methods of disassembly, sorting and environmental implications

“…Its cost-effectiveness is attributed to the use of a simple webcam and a basic microcontroller for identification and sorting. Recently, Naito et al also proposed a PCB recycling system based on deep learning techniques, which performed well in the identification and categorisation of recycled components [107]. In this system, a mechanical gripper equipped with sensors utilises convolutional neural networks to process images, enabling the identification of different types of ECs and their subsequent separation.…”