OpenCV-based high-reflection bottle cap defect detection method

Abstract

The invention discloses an OpenCV-based high-reflection bottle cap defect detection method, which comprises bottle cap end face detection and bottle cap side face detection, and specifically comprises the following steps of: firstly, photographing the end part of a high-reflection bottle cap by adopting a camera to obtain an end face image, extracting a bottle cap boundary curve by utilizing edge detection and fitting, and searching defects in the boundary curve by utilizing function threshold segmentation in an OpenCV library; if the defect exists, displaying the defect on the image through a function in the OpenCV library; taking pictures of the side surface of a high-reflection bottle cap in at least four directions to obtain a side surface image, extracting a target area of the side surface of the bottle cap in the image by using a known template image, performing image preprocessing on the target area, performing threshold segmentation on the side surface image by using a function in an OpenCV library to identify defects, and displaying the defects on the side surface image. According to the method, the calculation efficiency is high, the required calculation force is small, the defects such as scratches and pits on the plastic bottle caps can be automatically recognized, the positions of the defects are effectively positioned, and the production efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the field of intelligent detection, relates to a bottle cap defect detection, in particular to an OpenCV-based high reflective bottle cap defect detection method. Background technique [0002] People use a variety of bottle caps in their daily life. The common bottle caps on the market can be roughly divided into several types: cylindrical, cylindrical and spherical, and pagoda-shaped. After that, it is necessary to spray paint on the outer surface of the bottle cap, which causes the outer surface of the bottle cap to become a very reflective surface, and the special shape will cause the reflection of light and lead to some highly reflective areas; The surface of the cap is extremely fragile, and it is prone to defects such as scratches and spray paint falling off. The collision during the production process will cause pits on the surface of the cap. The appearance and distribution of these defects are irregular, and may appear...

AI Technical Summary

Problems solved by technology

[0003] The present invention aims at the defects on the plastic bottle caps with high reflective surface in the existing industrial production process, which can only be detected by manual labor intensity and detection effect Poor problem, combined with OpenCV, a method for autonomous defect identification and detection is proposed

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