A Field Static Image Detection Algorithm for Aviation Plugs

Abstract

An on-site static image detection algorithm for aviation plugs, which involves the use of image processing technology for fault diagnosis, solves the problem of fault detection for temporary insertion of a large number of aviation plugs on important equipment sites. The steps of the present invention are as follows: 1. Carry out hierarchical clustering on the images of aviation plugs, and use customized discrimination conditions to end the clustering of each layer; 2. Identify parameters according to the needle coordinates: rotation angle, horizontal axis and vertical axis of adjacent pins 3. Transform the template according to the obtained parameters, and calculate the difference between the transformed template needle coordinates and the plug needle coordinates. When the difference is large, it is determined that the pin is faulty. The basic idea of ​​the present invention is not to transform the original image, but to segment it through multiple clusters, and then to transform the plug standard template after estimating the plug posture parameters, and then match the position error of each pin, so as to avoid transforming the original image The resulting pixel error can effectively reduce the false detection rate.

Description

technical field [0001] The invention relates to an image detection method in the field of pattern recognition, in particular to an on-site static image detection algorithm of an aviation plug. Background technique [0002] Electrical connectors are an essential basic electromechanical component in various engineering systems. They are used to realize the transmission and control of electrical signals, as well as the connection between electronics and electricity. They have a wide range of applications. Circular electrical connectors are usually also called aviation plug. Many important equipments require a large number of connectors to be inserted temporarily on site, most of which are aviation plugs. In order to prevent mistakes in the plugging process, the operator who performs the plugging is required to first visually check whether the plug of the connector has bent or broken pins, and whether the socket is blocked, and then check the plug, socket, and socket before and...

AI Technical Summary

Problems solved by technology

[0004] At present, some image-based fault detection algorithms are image transformations, but this method will cause distortion of the initial image pixels, which may lead to errors in detection results. The present invention does not transform the original image but only transforms the plug standard template for fault detection. , the plug standard template is a data set including the position of the pin head, the radius of the pin, the length of the pin shaft and the radius of the chassis

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