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Industrial CMOS Camera Vision Inspection System for Bottle Neck Defect Detection

Anhui Keye Intelligent Technology Co., Ltd
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Address: No. 56, Chang'an Road, Baiyan Science and Technology Park, High-Tech Zone, Hefei City, Anhui Province, China, 230088

Contact name:Amy Zheng

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Anhui Keye Intelligent Technology Co., Ltd

Industrial CMOS Camera Vision Inspection System for Bottle Neck Defect Detection

Country/Region china
City & Province hefei anhui
Categories Optical Instruments
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Product Details

Industrial CMOS Camera Vision Inspection System for Bottle Neck Defect Detection

Company Profile

Anhui Keye Intelligent Technology Co., Ltd. is a Chinese national high-tech enterprise specializing in the application of AI technology in visual inspection industry. As a leading manufacturer&Designer, It can provide the most advanced level AI visual inspection equipment and the customized AI system solutions of visual imaging, computing power, algorithm, and automatic control software for various sub-industries.

The company was established in 2011, it has a high-level R&D team from top domestic optical research institutes and a core doctoral team from the USTC, covering the entire technology chain of optics, electrics, mechanics, algorithm and software. Our products can be applied in beverage, pharmacy, dairy, wine, textile, new energy, agriculture and other packaging industries.

 

Operation Parameters

Dimensions

See the design drawings

for details

Power and frequency220V 20A 50HZ
Total power3kw ~ 4kwAir pressure0.5~0.8MPa Purify and oil-free
Working temperature-20℃ ~ 60℃Working humidityBelow 50% relative humidity
 

 

Vision System 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 degree 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

 

Advantages of Camera Inspection

  • High detection accuracy and fast detection efficiency:CCD visual inspection equipment uses machine control according to the system, with small error and high detection rate;
  • Wide detection range to detect cosmetic defects and dimensional measurements:The multi-station inspection method can accurately to be inspected at one time;
  • Improve product quality and error rates:Vision inspection equipment is based on system control, which can distinguish good products from bad products through automatic inspection;
  • Save labor costs and enable high repetitive work:CCD visual inspection can work stably for a long time, it is difficult for human eyes to observe the same object for a long time;
  • Improve company competitiveness and employee safety factor:Non-contact detection, which does not cause any damage.

 

 

System Applications

  • Filling beverage detection (bottle body, cap closures, liquid level, impurities, labels)

 

  • Code detection (missing, fuzzy, uncoded)

 

Cooperation Partners

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 products in traditional manufacturing to make the production more digitization , Intelligence, visualization, and persistence. Also greatly improves the efficiency and accuracy of industrial detection, and enhances the intelligent level of the manufacturing industry.

** Our company have served many well-known enterprises such as Coca-Cola, P&G,Unilever,ALPLA,C'estbon, Nongfu Spring, etc., and has won praise from many users.

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