Visual detection method of reflective circular ring piece

Abstract

The invention relates to the technical field of visual detection, in particular to a visual detection method of a reflective circular ring piece. The visual detection method comprises the following steps that a quarter image of the upper side surface of the circular ring workpiece is collected; a circle detection algorithm is detected on the quarter image of the inner circle area and an eighth image of the outer circle area of the upper side surface of the circular ring workpiece to obtain size data of an inner circle and an outer circle of the circular ring workpiece; the circular ring workpiece is horizontally rotated for M times, and a local image on the upper side surface of the circular ring workpiece is collected once after rotation each time; and a spot detection algorithm is carried out on the local image on the upper side surface of the circular ring workpiece collected every time, and whether the defects exist on the upper side surface of the circular ring workpiece or not isidentified and judged. The multiple rotating shooting mode is adopted, and algorithm parameter setting which is accumulated by a manufacturer for a plurality of years is adopted, so that the accuracyand the stability of image detection and the identified data are effectively ensured, the use cost is reduced, and meanwhile, the detection and identification quality is ensured.

Description

technical field [0001] The invention relates to the technical field of visual inspection, in particular to a visual inspection method for a reflective circular ring. 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...

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 ability vary widely. If the design of 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 ring workpiece size inspection, indication defect inspection and thickness inspection, most of the algorithms on the market are The use cost of some technical solutions is high, and the algorithm steps are also relatively complicated, which is not conducive to the general technical personnel to routinely change parameters and other operation settings

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