Defective Products Sorting Automatic Inspection System For Bearing Accessories
Machine features:
| 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 principle of appearance inspection equipment is to convert the ingested target into an image signal through machine vision products (that is, image capture device, divided into CMOS and CCD), and transmit it to a dedicated image processing system.
According to information such as pixel distribution and brightness, the transformation The image system performs various calculations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the discrimination results, and performs visual inspection, dimension measurement, defect detection and system positioning, etc.
Inspection details
Product appearance defect detection, also known as defect detection, has always been a difficult point in the visual industry. It is mainly reflected in the many interference items of defects, low contrast, and high dependence on lighting treatment. The reflective nature of the glass surface increases the difficulty of detection. At the same time, there are many The detected object also has a variety of shading, and there are many types.
Secondly, for a large-area detected object, the implementation difficulty of using a line array camera is higher than that of an ordinary area array camera. At the same time, attention must also be paid to ensuring image clarity and measurement accuracy. Repeated positioning of workpieces. Appearance defect detection equipment can detect surface inspection of glass, metal, liquid crystal panels, mobile phone screens, plastics, etc.
Applications of system
As a conventional and effective method, visual detection of appearance surface defects can be used for all-round detection of bearings, including pits, scratches, characters, defects, rust spots, cracks, scratches, chamfers that are too large or too small, and whether they are mixed. Typical 2D and 3D defects such as lids. However, slight pits and scratches are also fatal, and need to be detected by a high-precision 3D camera, such as a line laser scanning 3D camera, which is very inefficient and expensive, and cannot meet the actual needs of bearing manufacturers. , the current bearing visual inspection equipment or system does not include 3D inspection items, which can only meet part of the inspection requirements.
Bearings mainly bear radial loads, and can also bear radial and axial loads at the same time. The complete production process is mainly divided into three stages, which are turning processing, grinding processing, and parts assembly. During the production and assembly of bearings, pits, indentations, scratches, black skin defects, and even inverted bearings will occur. Typical appearance defects such as too large or too small corners not only affect the appearance of the product display, but more fatally affect the mechanical properties of the product. The use of machine vision inspection to detect the appearance of bearing defects will be the most reasonable inspection.
Advantage of system
- One-time investment, the average cost is far less than the labor cost;
- Improve the detection speed and realize all-round real-time detection of products;
- Improve detection accuracy, unify detection standards, and eliminate individual differences in manual detection;
- The data can be aggregated and analyzed to facilitate the front-end process to find problems and provide suggestions for subsequent processes.
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Defective Products Sorting Automatic Inspection System For Bearing Accessories Images
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