Abstract: A robot vision system for generating a 3D point cloud of a surrounding environment through comparison of unfiltered and filtered images of the surrounding environment. A filtered image is captured using a camera filter which tends to pass certain wavelength bandwidths while mitigating the passage of other bandwidths. A processor receives the unfiltered and filtered images, pixel matches the unfiltered and filtered images, and determines an image distance for each pixel based on comparing the color coordinates determined for that pixel in the unfiltered and filtered image. The image distances determined provides a relative distance from the digital camera to an object or object portion captured by each pixel, and the relative magnitude of all image distances determined for all pixels in the unfiltered and filtered images allows generation of a 3D point cloud representing the object captured in the unfiltered and filtered images.

Abstract: An average spoilage temperature for a product is obtained. The average spoilage temperature is the temperature when the product becomes not viable for customer use. In real-time, the current temperature of the retail store in which the product resides is measured. In real-time, a perishability time for the product is calculated using the average spoilage temperature of the product, and the current temperature of the retail store. In real-time, the location of the product and the time since the product has left a first shelf are tracked. The first shelf is a location where a shelf temperature is maintained to adequately preserve the product. In real-time, the perishability time is compared to the time since the product has left the first shelf. When the time since the product has left the first shelf exceeds the perishability time, an action is taken.