Abstract: 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.
Type:
Grant
Filed:
February 9, 2022
Date of Patent:
March 26, 2024
Assignee:
TRACXPOINT LLC.
Inventors:
Moshe Meidar, Gidon Moshkovitz, Edi Bahous, Itai Winkler
Abstract: 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.
Type:
Grant
Filed:
December 19, 2019
Date of Patent:
July 12, 2022
Assignee:
TRACXPOINT LLC.
Inventors:
Moshe Meidar, Gidon Moshkovitz, Edi Bahous, Itai Winkler