A vision-based online detection method and system for bamboo blocks

Abstract

The invention discloses a bamboo dice online detection method based on vision. The method includes the following steps that 1, bamboo dices to be detected move through a second conveyor belt, and an image triggering and collecting module carries out photographing to collect images and numbers the images; 2, the images are transmitted to a PC for white balance processing so that images according with human vision can be obtained, then whether defects exist in the images of the bamboo dices to be detected or not is judged according to a bamboo dice defect detection algorithm, and defective bamboo dices to be detected are removed, wherein the detection process specifically includes the steps of outline defect detection, white spot detection and brown spot detection. According to the method, the bamboo dices can be automatically conveyed and automatically turned over, image information of the bamboo dices to be detected is collected through the image triggering and collecting module, the appearance defect, the white spot defect and the brown spot defect of the bamboo dices are detected and judged on line through the PC according to the defined bamboo dice defect detection algorithm, and the defective bamboo dices are removed; the manual picking cost is significantly reduced, the bamboo dice detection efficiency is improved, the product percent of pass is increased, input is small, operation is convenient, and the method has broad market prospects.

Description

Technical field [0001] The invention relates to the technical field of bamboo block detection, in particular to a vision-based online bamboo block detection method and system. Background technique [0002] There are two main defects in the processing of bamboo blocks: shape defects and marking defects. These two kinds of defects will affect the beauty of bamboo products and must be screened out before threading; traditional bamboo defect detection mainly uses manual labor. However, manual inspection is not only costly, low efficiency, and accuracy is difficult to guarantee for a long time, but also cannot perform statistical analysis of defect data to provide reference for the previous process; in recent years, various bamboo mat manufacturers have been able to Automation is achieved in the processing of bamboo blocks, but its defect detection still mainly uses manual methods in China. Therefore, an automatic defect detection system is urgently needed to replace manual screening....

AI Technical Summary

Problems solved by technology

[0002] During the processing of bamboo blocks, there will be two main defects: shape defects and streak defects. These two defects will affect the appearance of bamboo block products and must be screened out before threading; traditional bamboo block defect detection mainly uses artificial testing, but manual testing is not only costly and inefficient, but also difficult to guarantee the accuracy for a long time, and it cannot perform statistical analysis on defect data well to provide reference for the previous process; in recent years, various bamboo mat manufacturers have been able to Automation is realized in the processing of bamboo blocks, but only manual methods are still used for defect detection in China, so an automatic defect detection system is urgently needed to replace manual screening

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