Devices and Methods Utilizing Machine Learning for Item Identification

Abstract

Methods and devices utilizing machine learning for item identification are disclosed herein. The method captures an image of an item present in a region. The method classifies, based on the image, the item utilizing a machine learning model, and generates, utilizing the machine learning model, one or more candidate items and a score for each candidate item based on the classified item. The method determines whether a score of a candidate item among the one or more candidate items exceeds a threshold. If a score of a candidate item among the one or more candidate items does not exceed the threshold, the method retrieves data associated with each candidate item. The method modifies a score of each candidate item based on the retrieved data and selects a candidate item having a highest modified score. The method updates the database based on the selected candidate item and displays the selected candidate item.

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