Abstract: A display system includes a display including a front display layer and a rear display layer, and a processor configured to receive an original image comprising a plurality of pixels, each pixel having a pixel value. The processor is configured to, for each pixel of the original image, assign a first value to the front display layer and a second value to the rear display layer, wherein one of the first value or the second value is a randomized value and the other of the first value or the second value is determined based on the randomized value and the pixel value. The processor is configured to cause the front display layer and the rear display layer to display respective images based on the assigned values, wherein the respective images are aligned based on a position of a viewer relative to the display.

Abstract: A system includes a self-learning module for creating a self-learned planogram based on images of shelving units at a location and shelving unit tracking. The self-learned planogram includes shelving unit locations for the shelving units. The system also includes a training module for training the merchandise tracking model based on merchandise-shelving unit clustering. The merchandise-shelving unit clustering is based on the self-learned planogram and sensor readings received from sensors at the location. The sensor readings are associated with items at the location. The system further includes a tracking module for tracking and storing locations of the items based on the sensor readings and the merchandise tracking model. The system also includes a planogram compliance module for determining planogram compliance based on comparing the self-learned planogram to the item locations.