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Anhui Keye Intelligent Technology Co., Ltd
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Molded Pulp Coffee Lid Visual Inspection Machine with Latest AI Algorithm

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Anhui Keye Intelligent Technology Co., Ltd

City: hefei

Province/State:anhui

Country/Region:china

Tel:86--17355154206

Contact Person:
Ms.Amy Zheng
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Molded Pulp Coffee Lid Visual Inspection Machine with Latest AI Algorithm

Brand Name KEYE
Model Number KY-PL
Certification CE/ISO 9001
Place of Origin China
Minimum Order Quantity 1 SET
Price Negotiable
Payment Terms L/C, T/T
Supply Ability 1500 set per year
Delivery Time 8 to 10 weeks
Packaging Details Fumigation-free wood
Name Lids Vision Sorting Machine
WEIGHT 500kg
Brand KEYE
Material SS 304
Key tech AI algorithm
Show room None
Voltage Adapt to natioal standards
After-sale Remote service
OEM Yes
Loading port Shanghai
Detailed Product Description

Molded Pulp Coffee Lid Visual Inspection Machine with Latest AI Algorithm

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.

 

Inspection Overview

The design scheme uses high-pixel industrial cameras and high-performance strobe light sources to conduct all-round visual inspection for the appearance defects of products. The inspection speed is 100-300 pcs/min, and the equipment can operate 24 hours a day. Products can be automatically rejected online.


The whole set of vision machines includes mechanical parts, visual electronic hardware and vision system software. The entrance and exit of the inspection machine can be integrated with the customer's on-site conveyor line, and can be connected with upstream and downstream production equipment according to the specific production needs of the customer's site.

 

 

Advantages of ai algorithm

  • Accuracy of results: Compared with traditional vision algorithms, the stability of deep learning algorithms is greatly improved, and it can adapt to general disturbances in the environment and background. At the same time, the accuracy of the algorithm is also higher than that of traditional vision algorithms;
  • Algorithm versatility: For different defects, only a small number of defect samples need to be collected. After sufficient training, different defect samples can be automatically identified. The algorithm adopted is a unified algorithm framework;
  • Development timeliness: Since there is no need to develop algorithms for different defects, the entire development cycle is greatly shortened, and general visual defect projects only need 2-3 hours to go online for testing;
  • Environmental reliability: Due to the guarantee of GPU computing power, the entire system can work in a high-temperature environment for a long time with sufficient computing power margin.

 

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.

Product Tags: Machine Vision Inspection OEM   AI Machine Vision Inspection Technology   Machine Vision Inspection SS 304  
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