Abstract: Devices and methods for computer vision guided monitoring and analysis of a display module are disclosed herein. The method receives at least one captured image of at least a portion of an object for displaying at least one item. The method quantifies a state of the object present in the captured image by determining at least one anomaly associated with the object present in the captured image based on a comparison of at least one extracted attribute of the object present in the captured image and at least one extracted attribute of the object present in a reference image where the reference image is indicative of an optimal state of the object present in the captured image. The method determines whether the anomaly is greater than a threshold and generates and transmits a notification when the anomaly is greater than the threshold.

Abstract: Devices and methods for planogram generation are disclosed herein. The method detects at least one first item and at least one label present in a captured image and associates the at least one first item with the at least one label based on a boundary between the at least one first item and at least one second item different from the at least one first item. The method identifies the at least one first item based on at least one attribute of the at least one first item and determines an area indicative of a position of the identified at least one first item based on the association. The area can be one or more of an aisle, a module, a shelf, a rack, a bay, and a bin. The method generates a planogram based on the association, the identified at least one first item and the area.

Abstract: In some implementations, a system may receive, from a barcode reader, read data associated with the barcode reader reading a barcode associated with a product. The system may receive, from an imager, image data associated with an image that depicts packaging of the product. The system may decode the read data to obtain product information that is associated with the product. The system may generate a product entry that associates the product information with the image data. The system may perform an action associated with the product entry to enable an image processing model to identify the product information based on the packaging depicted in the image.