Payment Terms | L/C, T/T |
Supply Ability | 1 set per 6 weeks |
Delivery Time | 4 to 6 weeks |
Packaging Details | Fumigation-free wood |
Name | Visual Inspection System for Rubber Silicone Earphone Cap |
Color | Grey |
Material | SS 304 |
Voltage | Adapt to national standards |
Algorithm | Deep learning |
Speed | 300-500/min |
Quality | High grade |
Package | Wood packing |
MOQ | 1Set |
Packing | Wood |
Brand Name | KEYE |
Model Number | KVIS |
Certification | NO |
Place of Origin | China |
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Product Specification
Payment Terms | L/C, T/T | Supply Ability | 1 set per 6 weeks |
Delivery Time | 4 to 6 weeks | Packaging Details | Fumigation-free wood |
Name | Visual Inspection System for Rubber Silicone Earphone Cap | Color | Grey |
Material | SS 304 | Voltage | Adapt to national standards |
Algorithm | Deep learning | Speed | 300-500/min |
Quality | High grade | Package | Wood packing |
MOQ | 1Set | Packing | Wood |
Brand Name | KEYE | Model Number | KVIS |
Certification | NO | Place of Origin | China |
High Light | Fully Automated Visual Inspection System ,Earphone Cap Visual Inspection System |
Full Automated Visual Inspection System For Rubber Silicone Earphone Cap
Equipment 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 traditional manual inspection method has been difficult to meet the inspection requirements of the production process of silicone earphone caps. Guaranteeing high-quality products is inseparable from modern testing equipment. The introduction of automated visual testing equipment is an essential choice for the production of silicone earphones.
The long-term way for earphone manufacturers and their industrial supply chain manufacturers to win the market. Quality control is now the core competitiveness among manufacturing manufacturers.
Inspection details
Visual inspection automation equipment adopts machine vision technology, and uses machines instead of human eyes to measure and judge the detected objects. The device takes pictures of the silicone earphones through a CCD industrial camera and sends them to a dedicated image processing system. According to the pixel distribution, brightness, color and other information, it is converted into a digital signal.
The image system performs various calculations on these signals to extract the characteristics of the target, and then controls the action of the equipment on the spot according to the discrimination results, and the unqualified products will be eliminated. The entire detection process realizes automatic feeding, automatic detection, automatic sorting, and automatic unloading, making the detection work more efficient and faster.
Features of system
Significance of visual inspection
**Manufacturers of branded earphones have extremely strict quality requirements for silicone earphone caps. The production of industrial accessories is becoming more and more refined, and the standards are getting higher and higher. The inspection work must implement high standards.
The traditional manual inspection method, regardless of speed or efficiency, is difficult to keep up with the needs of mass production. The inspection results are easily affected by the emotions and energy of workers, and the rate of false detection and missed detection is high.
Machine vision inspection equipment is used for real-time online automatic detection of appearance defects, which is fast, efficient, stable and reliable. In addition, the statistical analysis of defect types can guide the adjustment of production parameters and improve product quality.
Company Details
Business Type:
Manufacturer,Exporter,Seller
Year Established:
2011
Total Annual:
100,000-150,000
Employee Number:
100~150
Ecer Certification:
Site Member
About Us KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial produ... About Us KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial produ...
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