Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is to measure and judge with machines instead of human eyes. The machine vision system converts the photographed object into an image signal through machine vision products (that is, image pickup devices, which are divided into CMOS and CCD), transmits it to a special image processing system, obtains the morphological information of the photographed object, and converts it into a digital signal according to pixel distribution, brightness, color and other information; The image system performs various operations on these signals, extracts the characteristics of the target, and then controls the action of the field equipment according to the discrimination result. The scope of application covers industry, agriculture, medicine, military, aerospace, meteorology, astronomy, public security, transportation, safety, scientific research and other industries of the national economy. In terms of industrial applications, there are mainly pharmaceutical, packaging, electronics, automobile manufacturing, semiconductor, textile, tobacco, transportation, logistics and other industries. Replacing labor with machine vision technology can improve production efficiency and product quality. For example, in the logistics industry, machine vision technology can be used to sort and classify express delivery, so that most express delivery companies will not manually sort, reduce the damage rate of articles, improve sorting efficiency and reduce manual labor.