This article discusses an AI sorter that integrates four key technologies – deep learning, big data training, robotic arm control, and industrial cloud platform – to help solve the difficulties of disorderly input material, piled material, uncertain material, and quality control. The AI sorter is capable of self-learning, decision making, best route calculating, and quick material identification, and can achieve data interaction with other equipment when applied in a waste treatment plant. The main applications of this AI sorter are C&D waste, MSW, mineral separation, and coal refuses.
