The disclosure relates to systems and methods for real-time detection of a very large number of items in a given constrained volume. Specifically, the disclosure relates to systems and methods for retrieving an optimized set of classifiers from a self-updating classifiers' database, configured to selectively and specifically identify products inserted into a cart in real time, from a database comprising a large number of stock-keeping items, whereby the inserted items' captured images serve simultaneously as training dataset, validation dataset and test dataset for the recognition/identification/re-identification of the product.


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    Title :

    SYSTEM AND METHOD FOR CLASSIFIER TRAINING AND RETRIEVAL FROM CLASSIFIER DATABASE FOR LARGE SCALE PRODUCT IDENTIFICATION


    Contributors:
    MEIDAR MOSHE (author) / MOSKHOVITZ GIDON (author) / BAHOUS EDI (author) / WINKLER ITAI (author)

    Publication date :

    2021-10-07


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B62B Von Hand bewegte Fahrzeuge, z.B. Handkarren oder Kinderwagen , HAND-PROPELLED VEHICLES, e.g. HAND CARTS OR PERAMBULATORS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V



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    SYSTEM AND METHOD FOR CLASSIFIER TRAINING AND RETRIEVAL FROM CLASSIFIER DATABASE FOR LARGE SCALE PRODUCT IDENTIFICATION

    MEIDAR MOSHE / MOSHKOVITZ GIDON / BAHOUS EDI et al. | European Patent Office | 2022

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    System and method for classifier training and retrieval from classifier database for large scale product identification

    MEIDAR MOSHE / MOSHKOVITZ GIDON / BAHOUS EDI et al. | European Patent Office | 2022

    Free access