TRAINING A MODEL TO IDENTIFY ITEMS BASED ON IMAGE DATA AND LOAD CURVE DATA
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United States of America Patent
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Issued Date -
Mar 27, 2025
app pub date -
Dec 9, 2024
filing date -
Dec 9, 2024
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Abstract
A smart shopping cart includes internally facing cameras and an integrated scale to identify objects that are placed in the cart. To avoid unnecessary processing of images that are irrelevant, and thereby save battery life, the cart uses the scale to detect when an object is placed in the cart. The cart obtains images from a cache and sends those to an object detection machine learning model. The cart captures and sends a load curve as input to the trained model for object detection. Labeled load data and labeled image data are used by a model training system to train the machine learning model to identify an item when it is added to the shopping cart. The shopping cart also uses weight data and the image data from a timeframe associated with the addition of the item to the cart as inputs.
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