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SS 304 Camera Inspection System Automated Quality Control Of Print Labels Packaging

Anhui Keye Intelligent Technology Co., Ltd
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    Buy cheap SS 304 Camera Inspection System Automated Quality Control Of Print Labels Packaging from wholesalers
     
    Buy cheap SS 304 Camera Inspection System Automated Quality Control Of Print Labels Packaging from wholesalers
    • Buy cheap SS 304 Camera Inspection System Automated Quality Control Of Print Labels Packaging from wholesalers
    • Buy cheap SS 304 Camera Inspection System Automated Quality Control Of Print Labels Packaging from wholesalers

    SS 304 Camera Inspection System Automated Quality Control Of Print Labels Packaging

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    Brand Name : KEYE
    Model Number : KVIS
    Certification : CE / ISO9001 / UL
    Price : Negotiable
    Payment Terms : L/C, T/T
    Delivery Time : 6 to 8 weeks
    Supply Ability : 30 sets per month
    • Product Details
    • Company Profile

    SS 304 Camera Inspection System Automated Quality Control Of Print Labels Packaging

    Company Profile

    Keye Technology relies on the Keye Laboratory of Pattern Recognition of the University of Science and Technology of China, and has a high-level doctoral R&D team covering the entire technology chain of optics, mechanics, electricity, computing and software.

    High Resolution Optical Defects Detection Machine KEYE Camera Inspection System 0

    Through the project practice in the fields of packaging containers, 3C, medicine, textile, food, etc., the KVS-AI software and hardware platform has been created, so that AI technology can be transformed into real productivity. We provide visual imaging, algorithm computing power and automatic control AI system solutions for various sub-industries.


    Core Technology

    • 1. Automatic binarization: Use deep neural network to segment the foreground and background of the image, compared with the traditional binarization method, Automatic binarization can be applied to a variety of lighting conditions, and have the advantages of smoother edge of the wheat segmentation , fast and High robust.
    • 2. Adhesion wheat segmentation algorithm: The connected domain-based method cannot segment adhesion wheat. The deep neural network is used to segment the adhesion wheat at an instance level, which can reach a speed of 1000fps and can process the adhesion wheat in real time.
    • 3. Wheat character recognition algorithm: It adopts a lightweight neural network and integrates a semi-supervised learning method. The model can be iteratively optimized only by marking a small amount of data. It has the advantages of high accuracy, fast speed, and convenient deployment.

    Machine Parameters

    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

    After-sale Service

    The company has a complete technical service team and rapid response mechanism, and has dedicated service specialists for each customer, who can receive technical consultation and fault reports from customers at any time. And to ensure rapid response to customer emergencies, to ensure that customers receive satisfactory service.During the epidemic or due to special reasons, when after-sales engineers are unable to reach the site, the service center can remotely adjust customer equipment for troubleshooting and technical consultation.

    After the equipment arrives at the customer site, the after-sales engineer arrives in time to carry out equipment installation, commissioning, and operation training. The product quality of the whole machine is traceable, and the quality warranty period is 1 year from the date of acceptance. In the event of non-human faults during the warranty period, after-sales engineers will quickly arrive at the site or provide remote guidance for free maintenance.

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