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Full Automated Visual Inspection System For Rubber Silicone Earphone Cap

Categories Visual Inspection System
Brand Name: KEYE
Model Number: KVIS
Certification: NO
Place of Origin: China
MOQ: 1 SET
Price: Negotiable
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
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Full Automated Visual Inspection System For Rubber Silicone Earphone Cap

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

  • 360-degree accurate detection without blind spots
  • Real-time storage of inspection data, dynamic display of inspection results, real-time images, running status, etc., real-time, accurate and non-destructive rejection of defective products
  • Using the company's latest version 3.0 detection system, rapid modeling and variety management for different products, counting and statistics of the detection results, and automatic rejection of waste products.
  • Equipment modular design, simple interface operation, stable system, simple maintenance and easy cleaning.
  • Comply with GMP standard

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.

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