Irregular part detection and positioning method

Abstract

The invention belongs to the field of visual inspection technologies and relates to an irregular part detection and positioning method. The method includes the following steps that: step 1, the template image of a part is collected, a contour matching algorithm for the template image is established; step 2, a transfer device transfers a part to be tested to a position under a photographing device;step 3, a strip light source lamp is turned on so as to perform auxiliary illumination; step 4, the image is binarized; step 5, contour matching algorithm operation is performed on the image, so thatposition information can be obtained; step 6, the position information is transmitted to an external device, and numerical display algorithm operation is performed on the position information, so that a readable position numerical value and angle numerical value are obtained. Therefore, the influence of ambient light can be eliminated, at the same time, an entire workpiece can be uniformly illuminated, and therefore, high-contrast image information can be obtained, so that software analysis can be facilitated; and therefore, with the above equipment, steps and algorithms adopted, manufacturing use costs can be controlled, and the accuracy of detection and positioning can be ensured.

Description

technical field [0001] The invention relates to the technical field of visual inspection, in particular to a method for detecting and locating irregular parts. Background technique [0002] The feature of machine vision inspection is to improve the flexibility and automation of production. In some dangerous working environments that are not suitable for manual work or where artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision; at the same time, in the process of mass industrial production, the efficiency and accuracy of using artificial vision to check product quality is low. , the use of machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration, and it is the basic technology to realize computer integrated manufacturing. Visual inspection is to use machines instead of human eyes for measurement and j...

AI Technical Summary

Problems solved by technology

[0003] As mentioned above, visual inspection has a huge market value. The core of the visual inspection system is not the hardware equipment but the algorithm steps, and the algorithm steps will vary depending on the requirements of the inspection results, product shape, working environment, and the technology of the designer or group. Factors such as capabilities vary widely. If the design of the core algorithm steps is lacking, it will affect the operating efficiency and quality of the entire set of visual inspection equipment. In the algorithm steps of irregular parts detection and positioning, most of the technical solutions on the market are expensive to use, and at the same time The algorithm steps are also relatively complicated, which is not conducive to the general technical staff's routine parameter change and other operation settings

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