The system was developed by a team led by Susumu Kubota at Toshiba's research center in Kawasaki, Japan. It relies on a webcam and a database of images, but only at first. Individual types of produce can be tricky to recognize for either human or webcam, involving subtle variation in size, shape, and color, as well as differences in perspective, so this system has the ability to learn. It'll scan the item on the tray and then present a list of options, with the most likely at the top. Once the shopper selects the correct option, the machine will store that photo matchup and use it as reference for the future.