Human, material and site resources, and human eyes are very prone to fatigue and negligence, which has gradually failed to keep up with the new requirements of the times.
The detection method of machine vision can largely overcome the shortcomings of manual detection method, such as low sampling rate, low accuracy, poor real-time, low efficiency and high labor intensity, and has been more and more widely studied and applied in modern industry.
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Principle of surface defect detection
The detection of product appearance defects is inevitably different from the product itself in terms of optical characteristics.
When light hits the surface of the product, various defects will show different differences from the surrounding in terms of reflection and refraction.
For example, when uniform light is perpendicular to the surface of the product, if there is no defect on the surface of the product, the direction of the exit will not change, and the detected light will be uniform; When there is a defect on the surface of a product, the outgoing light changes, and so does the detected image.
Due to the presence of defects, stress concentrations and deformation occur around them, and they are easy to observe in images.
If a light transmission defect (such as cracks, bubbles, etc.) is encountered, the light will be refracted at the defect location, and the intensity of the light will be greater than that of the surrounding area, so the light detected on the target surface of the camera will also be correspondingly enhanced. If a light-absorbing impurity (e.g., sand particles) is encountered, the light at the defect location will be weakened, and the light detected on the camera target surface will be weaker than the surrounding light.
By analyzing the strength and weakness of the image signal and the image characteristics collected by the camera, the corresponding defect information can be obtained.
Machine vision technology is a non-contact, non-destructive automatic detection technology, is an effective means to achieve equipment automation, intelligence and precision control, with the outstanding advantages of safety and reliability, wide spectral response range, long-term work in harsh environments and high production efficiency.
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Surface defect detection function
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Function introduction.
1. Automatically complete the synchronization of the workpiece and the image acquired by the camera;
2. Automatically detect defects such as spots, pits, copper spots, scratches and other defects on the surface of the product;
3. Locate the bad position, and control the labeling equipment to print the equipment for identification;
4. Automatic storage of defective product images, historical inquiry;
5. The type of defect that needs to be detected can be selected according to the need;
6. The size of the defect can be set independently according to the need;
7. The defect type can be learned and named as needed;
8. Automatic statistics (good products, defective products, total numbers, etc.).
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Advantages of surface defect detection
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Quality Assurance
Surface defect detection often provides the operator with a surface image of the current product and the size of the defect.
This continuous, real-time information enables your technicians to determine when and how such defects occur to reduce the occurrence of surface defects and prevent customer complaints and returns.
Product control
It is used for surface defect detection by capturing an image of the printed product, saving the image to disk, and printing out a quality of work report.
The data of surface inspection is also easy for production and operation management accountants to check the defects, find out the location of the defects and form a cause and make adjustments in time to avoid losses caused by quality and safety problems.
Defect identification
The surface defect detection system can detect surface defects in industrial products, textiles, biopharmaceuticals and plastic products, such as: pinholes, bumps, pits, cracks, scratches, impurities, etc.
Appearance defect detection can greatly improve product quality, and the speed of product inspection can also be much faster than manual inspection, so more and more enterprises are carrying out automated transformation, which can not only increase the competitiveness of products, but also allow their own enterprises to get more development.
Ruzhong Intelligence has been deeply involved in the intelligent manufacturing equipment industry for many years, and has developed a variety of appearance, size and function testing equipment to accelerate industrial automation and promote the development of China's manufacturing industry by virtue of professionals in machine vision and control theory.