Abstract: Food image recognition for inventory tally is a technology that allows for the automated identification and quantification of food items in a given inventory using image recognition algorithms. By analyzing images of food items and comparing them to a database of known food items, the system is able to accurately identify and count the number of each type of food present in the inventory. This technology has the potential to greatly improve the efficiency and accuracy of inventory management in food-related industries, such as restaurants, supermarkets, and food distribution centers. It can also potentially be used to help with food waste reduction efforts by allowing for more accurate tracking of expiration dates and helping to ensure that all food items are used before they go bad.
Keywords: CNN, Object Detection, Food Detection, Inventory Tally, Deep Learning.
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DOI:
10.17148/IJARCCE.2023.12450
