Carbonized bamboo chip defect detection method and system

Abstract

The invention discloses a carbonized bamboo chip defect detection method and system. The method comprises the following steps of obtaining a target object, collecting image data samples of the historical carbonized bamboo chips with defects; according to the collected image data sample of the historical carbonized bamboo chip with the defect, obtaining a historical carbonized bamboo chip sample; establishing a defect detection model based on the image data of the carbonized bamboo chips; and carrying out defect detection on the current carbonized bamboo chip according to the established defectdetection model based on the image data of the carbonized bamboo chip, and screening out the carbonized bamboo chip with defects in the current carbonized bamboo chip according to a detection resultof carrying out defect detection on the current carbonized bamboo chip. By means of the mode, the carbonized bamboo chips can be automatically subjected to defect detection without manual work, the detection efficiency and the detection accuracy are improved, the quality of the carbonized bamboo chips subjected to defect detection can be guaranteed, and therefore the quality of bamboo products isimproved.

Description

technical field [0001] The invention relates to the technical field of carbonized bamboo, in particular to a defect detection method and system for carbonized bamboo chips. Background technique [0002] Bamboo is a branch of Poaceae. It is a perennial plant with a wide variety of species. It is distributed in tropical, subtropical and warm regions. my country is known as the "Kingdom of Bamboo" and is rich in bamboo resources. According to statistics, the world's bamboo forest area is about 22 million hectares, while my country's bamboo forest area reaches 7.2 million hectares, accounting for about one-third, ranking second in the world, second only to India. There are more than 70 genera and more than 1,200 species of bamboo in the world; while there are about 35 genera and nearly 400 species of bamboo in my country. The annual output of bamboo forests in the world is 16 million tons, and the annual output of bamboo forests in my country has reached more than 8 million ton...

AI Technical Summary

Problems solved by technology

[0009] The existing carbonized bamboo chip defect detection scheme mainly relies on artificial naked eye recognition to screen carbonized bamboo chips, which is labor-intensive, low screening efficiency, easy to misjudgment and missed detection, and the quality of carbonized bamboo chips after manual screening is difficult. Guaranteed, the quality of bamboo products cannot be improved stably

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