Abstract: Examples may relate to inventory management within a facility. In some embodiments, a facility has a first camera associated with a location and mounted to view a storage area and capture images of the storage area. A control circuit or processing resource can execute a machine learning model trained to: detect boundary features of a bin depicted in a first image; determine a bin location of the bin based on the location associated with the first camera; identify at least one inventory item stored in the bin based on a respective identifier associated with the at least one inventory item; and/or update inventory data based on identifying the at least one inventory item, wherein the inventory data is associated with the bin and at least one of the bin location and the location associated with the first camera.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to inventory management. In some embodiments, an inventory management system comprises inventory items having attached fiducial markers, a control circuit, and an application executed on a mobile device operable by a user. The mobile application is configured to present a real-world view of inventory items within a camera's field of view, capture information associated, with the fiducial markers, and transmit this information to the control circuit. The control circuit is configured to apply one or more information filters to identify inventory items having specified, attributes and transmit these identifications to the mobile application. The mobile application is configured to present an augmented view of the inventory items by displaying indications over the inventory items having the specified attributes to identify to the user which items require attention.