Size detection and identification method for plastic workpiece

Abstract

The invention relates to the technical field of visual detection, in particular to a size detection and identification method for a plastic workpiece. The method comprises the following steps of 1, sequentially moving the workpiece to a station I and a station II for carrying out image acquisition; 2, performing spot detection algorithm operation and circular detection algorithm operation on an image acquired by the station I, identifying and positioning the workpiece, and measuring the inner diameter and the outer diameter of the workpiece; 3, carrying out line segment detection algorithm operation and line-line measurement algorithm operation on an image acquired by the station II, identifying a line segment formed by the upper surface and the lower surface of the workpiece and measuringthe height of a product; and 4, converting identified inner diameter information, outer diameter information and height information of the workpiece into readable data information to be output. The two stations are set; and each station only carries out size detection on the workpiece, so that the accuracy of detection and identification is effectively guaranteed, the algorithm design difficultyis reduced, the operation time of a complex algorithm is shortened, and the production efficiency is improved.

Description

Technical field [0001] The invention relates to the technical field of visual inspection, in particular to a method for detecting and recognizing the size of a plastic workpiece. 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 operations or occasions where artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision; at the same time, in the mass industrial production process, manual visual inspection of product quality is inefficient and inaccurate. , Using machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration, which is the basic technology to realize computer integrated manufacturing. Visual inspection is to use machines instead of human eyes for measureme...

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. 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 size detection and recognition algorithm steps of plastic workpieces, most of the technical solutions on the market are expensive to use. At the same time, the algorithm steps are relatively complicated, which is not conducive to the general technical staff's routine parameter change and other operation settings.

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