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KEYE TECH New Generation AI Visual Inspection Machine With Embedded Computer

    Buy cheap KEYE TECH New Generation AI Visual Inspection Machine With Embedded Computer from wholesalers
     
    Buy cheap KEYE TECH New Generation AI Visual Inspection Machine With Embedded Computer from wholesalers
    • Buy cheap KEYE TECH New Generation AI Visual Inspection Machine With Embedded Computer from wholesalers
    • Buy cheap KEYE TECH New Generation AI Visual Inspection Machine With Embedded Computer from wholesalers

    KEYE TECH New Generation AI Visual Inspection Machine With Embedded Computer

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    Brand Name : KEYE
    Model Number : KVIS
    Certification : CE/ISO 9001
    Price : Negotiable
    Payment Terms : L/C, T/T
    Delivery Time : 6 to 8 weeks
    Supply Ability : 30 set per month
    MOQ : 1 SET
    • Product Details
    • Company Profile

    KEYE TECH New Generation AI Visual Inspection Machine With Embedded Computer

    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.


    Technical Parameters

    AttributeDetails
    Inspection MaintenanceEasy
    MaterialSS 304
    Inspection TypeVisual, Mechanical, Electrical
    Inspection MethodManual, Automatic
    Inspection EfficiencyHigh
    Inspection ResultAccurate
    Inspection Accuracy99.5%
    Inspection ReliabilityReliable
    Inspection TimeShort
    Inspection SafetySafe
    Inspection Equipment GearProduct Evaluation Apparatus, Product Evaluation Apparatus, Product Evaluation System


    Core Technology

    • Automatic binarization: Use deep neural network to segment the foreground and background of the image. Compared with the traditional binarization method, it can be applied to a variety of lighting conditions, and the edge segmentation of coffee beans is smoother, fast and robust The advantage of high sex.
    • Adhesive coffee bean segmentation algorithm: The method based on connected domains cannot segment the adhered coffee beans. The deep neural network is used to segment the adhered coffee beans at an instance level, which can reach a speed of 1000fps and can process the adhered coffee beans in real time.
    • Adopts lightweight neural network and integrates semi-supervised learning method. Iterative optimization of the model can be carried out with only a small amount of data marked by the user. It has the advantages of high accuracy, fast speed, and convenient deployment.

    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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