Abstract: Systems and methods for detecting a size of an inventory item in an area of real space are disclosed. The method includes receiving respective sequences of images of corresponding fields of view in the area of real space from a plurality of sensors. The method includes determining a two-dimensional plane in the area of real space by matching at least three points on a first image obtained by a first sensor and a second image obtained by a second sensor. The method includes selecting an inventory item, from the first image, for which a size is to be determined. The method includes warping the first image onto the two-dimensional plane. The method includes cropping out the selected inventory item from the warped image. The method includes, inputting, the cropped out image of the inventory item and another image of an inventory item to a trained size determination model.

Abstract: Systems and methods for tracking inventory items in an area of real space are disclosed. The method includes receiving a signal generated in dependence on sensors. The signal indicates a change to a portion of an image of an area of real space. The method includes, in response to receiving the signal, implementing a trained location detection model to determine, based on inputs, whether an inventory item identified in the portion of the image has changed a position in the area of real space. The method includes implementing a trained item classification model to determine a classification of the inventory item. The method includes updating an inventory database with inventory item data determined in dependence on the classification of the inventory item to provide an updated map of the area of real space as a result of the received signal indicating the change to the portion of the image.