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On Line Bottle Cover Detector Equipment Connected With Auto Cap Feeder

Anhui Keye Intelligent Technology Co., Ltd
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    Buy cheap On Line Bottle Cover Detector Equipment Connected With Auto Cap Feeder from wholesalers
     
    Buy cheap On Line Bottle Cover Detector Equipment Connected With Auto Cap Feeder from wholesalers
    • Buy cheap On Line Bottle Cover Detector Equipment Connected With Auto Cap Feeder from wholesalers
    • Buy cheap On Line Bottle Cover Detector Equipment Connected With Auto Cap Feeder from wholesalers

    On Line Bottle Cover Detector Equipment Connected With Auto Cap Feeder

    Ask Lasest Price
    Brand Name : KEYE
    Model Number : KVIS
    Certification : NO
    Price : Negotiable
    Payment Terms : L/C, T/T
    Supply Ability : 1 set per 6 weeks
    Delivery Time : 4 to 6 weeks
    MOQ : 1 Set
    • Product Details
    • Company Profile

    On Line Bottle Cover Detector Equipment Connected With Auto Cap Feeder

    On-line Bottle Cover Detector Equipment Connected With Auto Cap Feeder

    ItemOn-line Bottle Cover Detector Equipment Connected With Auto Cap FeederMain MaterialStainless steel
    Weight500kgSize4250*1650*1860mm
    Software AlgorithmDeep LearningVoltageAc220/50Hz
    Current4kwAir Pressure0.5-0.8Mpa
    Transfer MethodLossless DeliveryDetection StatusOnline Real-Time Detection
    Detection MethodHigh-Speed Industrial CameraNumber Of CameraDepending on the specific situation

    Inspection standards

    ItemCameraPositionInspectPrecisionAccuracySpeed
    KVIS1Top areaBlack sopt,dirt,size,burr,flash,hole,label position>0.5mm99%700p-800pcs/min
    4Outer side>0.5mm
    1Bottom area>0.5mm

    Inspection principle

    • Appearance inspection collects data related to lid appearance defects in advance for model training. In the actual inspection process, the algorithm software will identify appearance defects based on the trained model.

    n-line Bottle Cover Detector Equipment: the machine is composed of a horizontal cap unscrambling machine and a visual inspection machine; the visual inspection machine has 6 sets of cameras, and the caps are sent into the inspection machine in a row through the cap unscrambling machine. Take photos and collect the surrounding sides, top surface and concave surface of the cover, and transmit the captured high-pixel images to the processing software.

    After the system analyzes and calculates, it judges good and bad products, and controls the corresponding start-up components to remove the bad products, and finally collects qualified products. The outlet of the detector has the function of counting and binning. The detection speed is 700-800 pieces/minute, and the equipment can operate 7*24 hours a day, and the unqualified products can be checked online
    automatic removal


    Vision solutions

    On-line Caps Detector Equipment independently developed by KEYE TECH is equipped with an AI deep learning system. Repeated training on product defect maps and good products can detect the appearance of products in complex environments in real time. Taking multi-angle and all-round photos, the intelligent system transmits each frame of the captured picture to the on-site computer vision system, analyzes and processes the picture information through automatic picture processing software, and screens out bottle caps with flaws in appearance to realize correctness Automatic online rejection of good products.

    The software platform of the bottle cap inspection vision system is reasonably constructed, with a friendly interface and easy to use. It can realize remote control. The system can be customized on demand and has good adaptability. Yuzhen bottle cap inspection machine is easy to operate and has three types of manual adjustment, semi-automatic adjustment, and fully automatic adjustment. The automatic bottle cap inspection machine equipment uses a high-performance CCD industrial camera, which can detect a variety of bottle caps.


    **Inspection Notes:

    • In actual testing, due to the influence of the critical fluctuation state of some test item data on the judgment, it will lead to a certain probability of false detection of the product, which can be adjusted through the parameter setting of the system software to achieve the actual effect.
    • Black spots, stains, hair, and impurities (different colors) will be analyzed and processed according to the black spot detection index, and the difference between the gray value of this item must be greater than 40. About 40cm or more, can be seen by visual inspection), can be effectively detected. If the sample has transparent oil stains or light-colored black spots, and the gray value contrast difference is low (less than 40), the detection effect cannot be achieved.

    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.


    Company profile

    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.

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