Design of an intelligent sorting system

The purpose of this paper aims to study an intelligent cargo sorting technology based on multi-axis mechanical arm, which plays an important role in improving the working efficiency of logistics and manufacturing industries. The system designed in this paper is based on the STM32F103ZET6 microcontroller as the control core, utilizing color sensors and pressure sensors to obtain information on the color and weight of goods. It automatically controls a multi-axis mechanical arm to achieve tasks such as grasping and placing goods based on the obtained goods information and sorting requirements. Also it employs a WIFI module for communication with the host computer, enabling remote real-time monitoring and control of sorting operations. Experimental testing was conducted on 1,000 sets of goods samples with different colors and weights, for color recognition under unobstructed natural daylight conditions and in an indoor environment, yielding accuracy rates of 87.6% and 97.3% respectively. The weight recognition accuracy exceeded 99%. Compared to manual sorting, the average sorting speed of the designed system increased by 32%.