For certain retailers, such as supermarkets or grocery stores, managing inventory may be a time-consuming process. Typically, an employee must go around and manually check the inventory for each item on each shelf manually. Some attempts have been made to automate the process with devices for managing inventory. The method monitors a region of interest to determine an inventory level based upon a depth image captured by a depth-sensing device, calculates a change in depth in the region of interest from the depth image that is captured, and determines a change in the inventory level associated with the change in the depth of the region of interest. Here, we aim to provide precise volumetric measurements of objects as part of an inventory management system for quickly localise the bay, counting objects on a shelf, and track the changes of the inventory.

Contact: Ahmedt Aristizabal, David (Data61, Black Mountain)