A new system developed by Brain Corporation in collaboration with the University of Hyogo is able to identify different kinds of baked goods on a tray, in just one second. The technology, which was trialled recently at a bakery in Tokyo, improves efficiency as new and part-time staff don’t need to learn all the various pastry names and prices. The machine automatically gives them the knowledge they need to assist customers and calculates the price, cutting down on serving time.
The items are placed on a light table at the counter and identified by a camera. A green outline on the screen confirms that an item has been identified correctly. If there’s any doubt, a yellow outline is shown, and item names can be selected from a list of possibilities. Repeating this process makes the system even smarter. The developer’s next move is to use the visual recognition system for other items that can be distinguished by shape and color, like vegetables and medicine.
Why I’m curious:
We’ve seen a lot of technology being used nowadays to streamline transaction process including mobile wallet and mobile coupons. With this specific type of technology, self-checkout can be made possible in a lot of categories and therefore might make offline purchase as efficient as online.