Honeycomb paper core defect detection method based on machine vision

Abstract

The invention discloses a honeycomb paper core defect detection method based on machine vision. Aims at various defect problems generated during a honeycomb paper core production process, the method comprises the following steps of acquiring a honeycomb paper core picture on a production site; detecting the defects in the honeycomb paper core by adopting an SSD deep neural network; judging the defect category of the honeycomb paper core and outputting the specific position, then using a machine vision algorithm for rapid reinspection to prevent the false inspection, finally transmitting an obtained result to the honeycomb paper core defect repairing system, and providing a correct feedback signal to realize the automatic repairing of the honeycomb paper core defects. The method detects thehoneycomb paper core defects in real time through the deep learning model and the machine vision algorithm, can provide the feedback information for an automatic defect repairing system during the honeycomb paper core production process, has the advantages of being accurate in recognition, accurate in positioning and fast in recognition speed, and can meet the requirement for honeycomb paperboardproduction automation.

Description

technical field [0001] The invention relates to the field of image detection, in particular to a machine vision-based defect detection method for honeycomb paper cores. Background technique [0002] Honeycomb paper is made according to the principle of honeycomb structure in nature. It connects the base paper cut into strips and stacked together into countless hollow three-dimensional regular hexagons to form a whole force-bearing part, and in it It is a new type of environmental protection and energy-saving material with a sandwich structure made of double-sided adhesive paper. It has high mechanical strength and can withstand various collisions and falls during transportation. It is mostly used for packaging and transportation of various precision devices, fragile devices and even military devices, and has strong industrial applicability. In the production process of honeycomb paperboard, due to improper stretching and various complex industrial factors, it is very easy t...

AI Technical Summary

Problems solved by technology

In the production process of honeycomb paperboard, due to improper stretching and various complex industrial factors, it is very easy to produce defects, such as large-area cavities, irregular cavity structures, continuous fractures, etc., which affect the ability of honeycomb paperboard to withstand collisions , is an unavoidable problem in the production process of honeycomb paperboard

In the existing production line, the method of manually detecting and repairing defects is often used to fill in the defects generated in real time during the production process, which requires a lot of human resources

On the other hand, in the case of long-term high-load work, manual detection of defects is prone to errors, resulting in various problems such as reduced quality and increased defective rate

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