Anhui Keye Intelligent Technology Co., Ltd
AI for Life
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System details
| Item | Parameter |
| Voltage | AC220V/50HZ |
| Power | 400W |
| Air pressure | 2-3Kgf/cm2 |
| Speed | 10000PCS/HOUR |
| Weight | 200KG |
| Size | 130cm×180cm×100cm |
Multifunctional curtain fabrics use nano-functional additives to treat silk, linen, cotton and other textile products with nano-technology, so that the pattern fabrics suitable for making curtains which have the flame-retardant, heat-insulating, sound-insulating, anti-bacterial, mildew-proof, waterproof, oil-proof.anti-fouling, dust-proof, anti-static, abrasion-resistant and other functions. a collection of multi-functional cloth-processed curtains, will never be dusty after use, avoid the trouble of frequent washing of the curtains, and enhance the heat insulation function of the cloth. It is a low-carbon energy-saving curtain. The multifunctional curtain fabric surface defect detection equipment developed by Keye Technology has the detection speed and accuracy at the same level of similar international products, and has the advantages of convenient,easy maintenance, and high cost-effectiveness. We had improve the efficiency of automatic detection of surface defects of multifunctional curtain fabrics effectively.
In an automated or semi-automated production process ,the defect detection of the finished product to improve the yield is essential. In the past, most of the manual detection methods were used, but this method is limited by the subjective factors of the detection people. It is extremely easy fatigue, inattention and efect by other factors, which can lead to a decrease in the accuracy of the detection results, It is difficult to achieve the same standard.Therefore, the visual defect detection system can be said to be an effective means to realize intelligent production and precise control. It has many advantages such as high speed, high accuracy, stability and reliability.
For multifunctional curtain fabrics, Keye has developed a fabric defect detection system based on AI deep learning, which is detected by industrial cameras. Once an error occurs, the system will issue an instruction to suspend the machine's action. Therefore, in the application of the textile industry, the emergence of visual defect detection technology has effectively improved the pain points of waste fabrics for manufacturers.
In addition, for surface defects such as multifunctional curtain fabrics, the visual defect detection system can identify them one by one. The detection rate of broken warps, broken wefts, holes, stains, mosquitoes and other defects is also much higher Improved than manual work. , and the result output is more stable and reliable.
Through the online detection of the surface quality of the cloth, defects can also be quantified, and the cloth can be classified into grades, providing a basis for the analysis of the causes of defects, and reducing the defective rate from the root .
Common defect images
