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Use background subtraction to detect the user and item (the only things that should be moving in frame)
Use image segmentation to detect the person
Classify whether user has item if there is enough of a difference between the person outline and the background subtraction
a. If classified as holding an item, crop the image around the bounds of the item then send that cropped image to the image classification model
b. If classified as not holding an item, move on
a. If classified as holding an item, crop the image around the bounds of the item then send that cropped image to the image classification model
b. If classified as not holding an item, move on