Abstract

For the complex unmanned environment, and even the special environment, such as nuclear radiation environment, high temperature and high pressure environment, etc., in order to overhaul the equipment, it is necessary to provide automatic operation equipment, the detection and monitoring equipment accurately sent to the detected position. This paper intends to use the remote method, control and detection classification, based on the Machine Vision scheme, the detected position, center of the circle, automatic positioning. This project adopts a two-level position positioning system. First, the AGV based on Machine Vision is used to initially locate the detected position, but the positioning accuracy of AGV can only reach 10mm, which cannot meet the requirements of 0.1mm. Therefore, a set of high-speed and precise secondary positioning system based on machine vision is added to facilitate real-time monitoring and provide positioning accuracy. The research contents include: 1) Research on the first level primary positioning system of remote automatic trolley based on Machine Vision; 2) Research on the secondary precision positioning system based on Machine Vision; 3) Research on the data filtering algorithm based on Machine Vision.

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