A real-time grading system and method for veneer of rotary cutting machine

Abstract

The invention provides a real-time grading system and method for rotary lathe veneers. The system comprises an infrared sensor, a single-chip microcomputer, an industrial computer, an image acquisition device and a grading device, wherein the infrared sensor is used for sending a trigger signal to the industrial computer through the single-chip microcomputer when the rotary lathe veneers are detected; the industrial computer is used for controlling the image acquisition device to collect images of the rotary lathe veneers according to the trigger signal, and judging level information of the rotary lathe veneers according to the images of the rotary lathe veneers and sending the level information to the grading device; the grading device is used for conveying the rotary lathe veneers to corresponding channels according to the level information; the infrared sensor is electrically connected with the single-chip microcomputer, the single-chip microcomputer is electrically connected with the industrial computer, and the industrial computer is electrically connected with the image acquisition device and the grading device respectively. The system and method can automatically detect therotary lathe veneers at high real time and high precision and grade the rotary lathe veneers, so that the labor cost is lowered and the real-time grading system and method for the rotary lathe veneersare suitable for industrial site demands.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a real-time grading system and method for veneers of a rotary cutting machine. Background technique [0002] Due to its environmental protection, high strength, good toughness and renewable advantages, wood is widely used in various aspects of people's daily life such as flooring and furniture. The consumption of wood products in our country is increasing year by year, and the quality requirements of the people are gradually increasing. Researchers at home and abroad have carried out a lot of research on the detection of wood surface defects, but most of them are scientific algorithm research based on static images. Although many achievements have been made, it is difficult to meet the online high-speed real-time detection requirements of industrial sites. [0003] At present, the classification of plates in the industrial field mainly relies on manual visual inspection o...

AI Technical Summary

Problems solved by technology

This method is greatly influenced by human factors, and has problems such as low efficiency, low accuracy, and high labor costs.

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