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.
SYSTEM AND METHOD FOR CLASSIFIER TRAINING AND RETRIEVAL FROM CLASSIFIER DATABASE FOR LARGE SCALE PRODUCT IDENTIFICATION
26.05.2022
Patent
Elektronische Ressource
Englisch
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