Wood Waste Material Visual Inspection Machine For Plank Board
Features of system
| 1. AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training |
| 2. Dataization: Independent database, save multiple samples, analyze non-good products, and retain history |
| 3. Multi-orientation: 360 ° comprehensive inside and outside the samples |
| 4. High precision: detection accuracy can be high |
| 5. Modularization, can flexibly increase or decrease the detection function according to customer actual needs |
| 6. Easy to operate: It is easy to operate and easy to maintain |
| 7. Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment |
Inspection principle
The national standard divides wood defects into 10 categories: knots, discoloration, rot, pests, cracks, trunk shape defects, wood structural defects, scars, wood processing defects and deformation, and board defects mainly include knots, rot, cracks and leather jackets, pests, processing defects.
The principle of using digital image processing technology to detect sheet surface defects is to use a CCD camera to mechanically take pictures of the sheet surface in real time. rated.
Inspection details
The board surface defect detection system based on digital image processing technology is composed of light source, CCD camera, image acquisition card, PC and output device. The CCD camera connected to the computer takes the wood surface image and converts the wood surface features into image signals.
According to the pixel distribution and brightness and other information, it is sent to the computer through the image acquisition card, and then the computer uses special processing software to store and process the collected images, and uses the Laplacian operator and median filter to analyze the wood image. Edge enhancement, smoothing.
Detection and processing of surface defects:
Feature extraction directly affects the recognition rate of the wood defect detection system. Usually, the secondary peak is the defect location, but this is not absolute. If the histogram curve has only one peak, it may be a normal wood picture.
After experimental statistics, when the value of the secondary wave peak value is greater than 1/10 of the main wave peak value, the secondary wave peak represents the color of the defect, and the first step of defect detection is realized, that is, the image is divided into two categories: defective and non-defective.
KEYE TECH detection technology refers to the use of image sensors instead of human eyes, 100% accurate detection of surface defects, defects, and defect information statistics, classification and analysis, optimization of production process control, classification of products, classification of qualified products and unqualified products, improve customer trust and satisfaction.
Machining process
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Wood Waste Material Visual Inspection Machine For Plank Board Images
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