The machine vision system refers to an object taken to converted into an image signal by a machine vision product (ie, an image capturing device), and transmitting it to a dedicated image processing system, and converting it into a dedicated image processing system according to information such as pixel distribution, brightness, color, etc; image system pair These signals perform various operations to extract the features of the target and acquire the target information.

　　 Machine vision systems are characterized by increased flexibility and automation. In some dangerous working environments that are not suitable for manual work or where it is difficult to meet the requirements of manual labor, machine vision is often used instead of labor. At the same time, in large-scale industrial production process, manual visual inspection is used to check product quality with low efficiency and precision. Machine vision inspection methods can greatly increase production efficiency and automation of production, besides machine vision is easy for  integrate information, data collection and tracking.

　　 At present, machine vision is very necessary in robot application. Both industrial robots and service robots need machine vision as their own "eyes" to judge through the eyes, thus realizing intelligent decision-making of robots.

　　 The application of machine vision on industrial robots is based on a single application, such as industrial components or materials, or monitoring some operations. Service robot application scenarios will change a lot such as face recognition, navigation, and monitoring. In terms of accuracy, the accuracy of machine vision recognition must be below that of the millimeter level, and can even reach the micrometer level.