Abstract: Systems and methods for machine learning inventory management. The methods comprise: capturing images by a plurality of image capture devices of different types (e.g., visual camera, 3D camera and/or thermal camera); reading item identification codes for items represented in the images; and using at least a first portion of the images and known physical appearances of a plurality of items by a machine learning algorithm to learn relationships between the items represented in the images and the item identification codes. At least a second portion of the images are used to learn various types of information that is useful for inventory management (e.g., changes in inventory amounts for display equipment, changes in equipment cleanliness, changes in inventory packaging, item misplacements, etc.).

Abstract: Systems and methods for machine learning inventory management. The methods comprise: capturing images by a plurality of image capture devices of different types (e.g., visual camera, 3D camera and/or thermal camera); reading item identification codes for items represented in the images; and using at least a first portion of the images and known physical appearances of a plurality of items by a machine learning algorithm to learn relationships between the items represented in the images and the item identification codes. At least a second portion of the images are used to learn various types of information that is useful for inventory management (e.g., changes in inventory amounts for display equipment, changes in equipment cleanliness, changes in inventory packaging, item misplacements, etc.).