Tokyo bakery’s visual recognition checkout sorts the sandwiches from the croissants (video)

Tokyo bakery's visual recognition checkout sorts the sandwiches from the croissants (video)

We've seen food recognition tools in the past, but none as slick as this one being trialed at a Tokyo bakery. Co-developed by Brain Corporation and the University of Hyogo, the camera-equipped, automatic checkout is not only quick, but also accurate -- it's even able to distinguish different types of sandwich. And, if it can't tell exactly what's on the tray, it'll give you a list of suggestions and then use your selection to inform later scans. Currently, the system is said to be particularly useful for part-time staff that aren't completely familiar with the bakery's offerings, but it also has potential in all kinds of retail situations, much to the disappointment of the trusty barcode. Combine this system with Bakebot, however, and staff won't be needed at all. If you're hungry to see the checkout in action, head past the break for a visual snack.

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System Automatically Recognizes Baked Goods Without Labels or RFID

In the not-too-distant future, technology might let you check out for your purchases without any need to scan tags, enter prices, or even read RFID tags. Thanks to visual recognition technology, items being purchased could be automatically identified just by the way they look.

bakery scanner

A trial is underway at a bakery in Tokyo using Brain Corporation’s object recognition technology to automatically ring up items for purchase just by setting them onto a tray. A camera grabs an image of the items, and checks a database to match up the baked goods with their pricing. It works surprisingly well handling subtle variants of the same item – like 2 different loaves of bread. It’s a cool idea, and seems to work quite well in this particular application.

While I like the general concept, I could see problems with the system if you start dealing with multiple items that look the same on the outside, but have different insides (i.e. different memory configurations on an iPhone, or in this case a cherry croissant vs. a chocolate one.) Still, for items which can be identified by color, size and shape, it’s definitely got potential.

[via DigInfo TV]