Background
Facing today's information-based, intelligent, and efficient society, storage is the core of an enterprise, and achieving orderly management of storage is of great significance to the operation of an enterprise. Picking is the most important and cost-intensive part of warehousing, the efficiency and correctness of picking greatly affect the service quality of enterprises. As a professional industrial automation solution provider, the customer focuses on developing, designing and selling intelligent warehouse picking systems and other products. And how to effectively improve the operation efficiency and reduce the operator's mis-selection rate is currently the largest research topic of intelligent storage and picking systems.