Artificial intelligence-based system and method for grading collectible trading cards

    公开(公告)号:US12106334B2

    公开(公告)日:2024-10-01

    申请号:US17856984

    申请日:2022-07-02

    CPC classification number: G06Q30/0278 G06T7/0002 G06T7/13 G06T2207/30168

    Abstract: A system and method for digitally grading collectible trading cards on a predefined standard scale. The collectible trading cards are graded using their images. First, an image is converted to grayscale image. The grayscale image is subjected to a set of algorithms, such as edge detection algorithm, threshold inversion algorithm, wavelet transform algorithm, corner detection algorithm, color filtering algorithm, and an image sharpen algorithm to obtain respective image features as outputs. The output can be processed using a bag of visual words computer vision model to obtain quantitative data. The quantitative data can then be processed using a pre-trained machine learning model to obtain a grade for the collectible trading card.

    ARTIFICIAL INTELLIGENCE-BASED SYSTEM AND METHOD FOR GRADING COLLECTIBLE TRADING CARDS

    公开(公告)号:US20220374947A1

    公开(公告)日:2022-11-24

    申请号:US17856984

    申请日:2022-07-02

    Abstract: A system and method for digitally grading collectible trading cards on a predefined standard scale. The collectible trading cards are graded using their images. First, an image is converted to grayscale image. The grayscale image is subjected to a set of algorithms, such as edge detection algorithm, threshold inversion algorithm, wavelet transform algorithm, corner detection algorithm, color filtering algorithm, and an image sharpen algorithm to obtain respective image features as outputs. The output can be processed using a bag of visual words computer vision model to obtain quantitative data. The quantitative data can then be processed using a pre-trained machine learning model to obtain a grade for the collectible trading card.

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