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AI for Life
4 Years
| Ask Lasest Price | |
| Brand Name : | KEYE |
| Model Number : | KVIS |
| Certification : | NO |
| Price : | Negotiable |
| Payment Terms : | L/C, T/T |
| Delivery Time : | 4 to 6 weeks |
| Supply Ability : | 1 ser per 4 weeks |
Advantages 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
Quality control in the ceramic industry has recently begun to reap the benefits of automation, however in many factories around the world quality control is still done manually as part of the production batch is detected by trained personnel for various visual defects such as cracks, granulation and abnormal surface relief.
Because human detection, due to reasons such as subjective reasoning and conditions prone to human error, the better solution, the solution is far from mass production line when ceramic tile in the artificial detection become a factor in production speed, the disadvantage of manual detection is costly consequences as may waste material, reduces the loss of the quality of the product and the labor time.
Inspection details
Can be installed based on computer vision system, in order to remind the production batches of samples may be damaged, and further testing each piece of ceramic tile, in addition to automatic defect classification, can be found that may be a hardware failure, help to find the defect parts, this kind of defect detection and classification system based on visual need relatively cheap hardware, specifying the cameras and integration in the production line.
The software part of the system requires adaptation to the type of materials used in the plant, lighting conditions on the production line, and a learning phase that takes into account possible defect types.
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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