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Visual Inspection System For Electric Components Medical Device

Anhui Keye Information & Technology Co., Ltd.
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Address: 168 TangKou Road,Taohua Industrial Park,Hefei,Anhui

Contact name:Amy Zheng

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Anhui Keye Information & Technology Co., Ltd.

Visual Inspection System For Electric Components Medical Device

Country/Region china
City & Province hefei anhui
Categories Plastic Drying Machinery
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Product Details

Our strength

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

 

Market of machine vision

At present, machine vision is mainly used in quality inspection, ruler measurement, defect inspection, identification and positioning, while the application of machine vision in robots is the main guidance and positioning, robot vision guidance system, due to single vision based on 3D vision guidance of multiple lenses system development.

It is understood that China is currently in a period of technological transformation from labor-intensive to technology-intensive. There is a strong demand for machine vision solutions that improve production efficiency and reduce labor costs. At the same time, it has become a gathering place for machine vision technology. Machine vision systems at the international advanced level have entered China, and machine vision companies have continued to thrive in the healthy competition with international machine vision companies.

 

Application range

In foreign countries, machine vision is mainly used in the semiconductor and electronic industries, of which the semiconductor industry accounts for 40% to 50%, such as PCB printed circuits, SMT surface mounting, electronic production and processing equipment, etc. In addition, machine vision is also used in quality inspection. various aspects and other fields.

 

Industrial inspection:

  • In terms of industrial inspection, the outstanding advantages of the vision system, such as non-contact, fast speed, suitable accuracy, and strong on-site anti-interference ability, have been used in industrial inspection, which has made machine vision technology widely used and achieved huge economic and social benefits. 
  • Automatic visual recognition detection has been used for product shape and surface defect inspection, wood processing inspection, metal surface visual inspection, printed circuit board defect inspection, automatic identification of weld defects, etc. The acquired images are processed and pattern recognition detected. required content.

Medical inspection:

  • In the field of medical applications, machine vision is mainly used for medical auxiliary diagnosis. First, the images recorded by nuclear magnetic resonance, ultrasound, laser, X-ray, Y-ray, etc. for human body detection must be collected. After using digital image processing technology, information fusion technology Analysis of these medical images and effective treatment play an important role.
  • With the continuous improvement and updating of medical level and medical equipment, disposable injection needles are deeply loved by users because of their convenience and hygiene, and their demand is also increasing rapidly, and the appearance of needles directly affects the quality of disposable injection needles. quality. Therefore, in order to reduce the number of defectives, it is necessary to increase the inspection process.

For applications in the field of traffic monitoring, intelligent traffic monitoring plays a very important role. For example, if cameras are placed at important intersections, the camera's quick photo function can be used to realize automatic identification, so that relevant staff can view it.

 

The detection method based on machine vision is to use the CCD camera to obtain the apparent picture of the bridge, and to use the automatic identification of calculation and processing, which has the advantages of convenience, intuition, accuracy, non-contact, good reproducibility, strong adaptability, high flexibility and low cost. It can liberate the labor force, eliminate human interference, and have a high application prospect.

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