Method for detecting package damage of industrial products

Abstract

The invention relates to a method for detecting industrial product package breakage. The method is characterized by comprising the steps that regions of interest are formed in a division mode through Hough transform on the basis that images of two continuous frames are obtained, image edges of the corresponding regions of interest are reinforced through wavelet transform, image fusion is carried out by using Laplace energy and the contrast ratio as coefficients, the color images are converted to be in a hue, saturation and luminance space, threshold segmentation is carried out, and whether breakage exists or not is judged. The method for detecting industrial product package breakage has the advantage of automatically detecting a package with wound ropes.

Description

technical field [0001] The present invention relates to a method for detecting whether a packaged spherical rope wrap is damaged or not. Background technique [0002] Image processing as a discipline was formed around the late 1970s. Since the mid-1970s, people have begun to study the use of computer systems to interpret images and realize the understanding of the external world similar to the human visual system. The purpose of early image processing is to improve the quality of the image, and it takes people as objects to improve people's visual effects. Later, with the rapid development of computer technology, artificial intelligence, and thinking science research, it became a brand-new discipline that studies "image information acquisition, transmission, storage, display, understanding, and comprehensive utilization". [0003] Image processing includes rich content, which can be divided into three levels according to the degree of abstraction: narrow image processing, ...

AI Technical Summary

Problems solved by technology

The traditional packaging quality detection method is to use optical fiber sensor, displacement sensor or hardware equipment to detect the packaging, but they are not perfect enough. Moreover, for the detection of packaging around the rope, in addition to the characteristics of transparency of the packaging, it also has the characteristics of the structure of the winding rope itself, the rope Due to the characteristics of the color of the ball and the variety of winding methods, there is currently no set of fully automated detection equipment in the industry that can detect and identify damage to it.

And because it adopts the method of thermoplastic packaging for packaging, in the process of thermoplastic packaging, the packaging is often damaged due to incomplete thermoplastic.

At present, the inspection of rope wrapping in the industry still relies on human vision and subjective judgment, which takes up a lot of manpower and increases the cost of the company.

Moreover, the long-term labor of the workers is likely to cause visual fatigue and false detection, which seriously affects the quality of the ex-factory products. If it is circulated, it will also have a negative impact on the corporate image of the manufacturer.

Images