Under the influence of multiple factors such as 5G, the Internet of Things and the rapid development of the Internet home improvement market, China's smart home market has shown a vigorous development trend. As the main raw material in the upstream of the home furnishing industry, wood covers 70% of the midstream products of the industry, including floors, various cabinets, furniture, etc. At the same time, the quality of the board determines the price of home furnishing products, so the woodworking production line is also the core production line of the home furnishing industry. , the quality of wood is one of the important indicators to assess the quality of wood.
With the development of Industry 4.0, more and more large home furnishing enterprises, especially flooring and cabinet enterprises, are accelerating the improvement of the intelligence of woodworking production lines, integrating the processes of cutting, edge sealing, drilling, sorting, and packaging. In recent years, more and more attention has been paid to the processing quality of the sheet, especially the surface defects. Wood defects mainly include ten categories: knots, discoloration, rot, insect damage, cracks, trunk shape defects, wood structural defects, scars, wood processing defects and deformation. Therefore , in order to improve the utilization rate of wood, the use of machine vision to achieve rapid and stable detection of wood defects can not only overcome the disadvantages of low manual detection efficiency, high labor intensity, and low accuracy, but also play an important role in improving the intelligence level of wood processing enterprises. significance.
The woodworking process in the home furnishing industry is cumbersome and involves many processes. The main core steps can be divided into 4 steps: ingredients, processing, assembly, and painting .
1、preparation step : select the incoming log material, and form wool material through multi-step and multi-process operation;
Quality control requirements for material preparation: material quality (burrs, tears, dents, indentations, worm holes, decay, deformation, knots, etc.), moisture content, size, grain size and direction, pressurization time, etc.;
2、Processing steps : the process of processing the wool according to the shape and size required by the design drawings;
Quality control requirements for processing: mainly to ensure the size, shape and wood quality, as well as the quality of the glue amount;
3、Assembly step : the process of assembling multiple components to form the final form of the finished product;
Assembly quality control requirements: missing parts and assembly quality inspection;
4、Coating step : the process of final painting the finished product;
Coating quality control requirements: control and inspection of spraying quality;
3、The application of LVM line laser products of Yishi Technology
Sheet surface defect detection :
The surface defects of the board affect the quality of the board, so it is necessary to detect and monitor the board defects (such as corner defects, cracks, foreign objects, etc.) before the board assembly process.
Accurately obtain images of surface defects by using the principle of laser scattering;
High-precision, large-format inspection requires multi-camera stitching;
The imaging of wood knots needs to be distinguished from defects;
NextVision LVM-2600 series cameras are fixed and the wood moves along a straight line on a mobile platform for inspection.
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