Abstract
Automatic System Management based on machine vision technology is the development direction of field management. At present, there are many problems in the process of field management, such as high personnel input, Long time-consuming inspection and tedious work flow. In order to solve these problems, an automatic inspection system based on machine vision technology is constructed by using machine vision technology, information technology, image contrast technology and system applications such as Docker and Kubernetes. Combining the system requirement analysis, from two aspects of function realization and system architecture, each module of the system is designed, the key process flow in the system operation is analyzed, and through the dynamic construction technology, the operation of the system is optimized from the recognition accuracy. The result of example verification shows that the system can provide service according to user’s needs correctly.
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