SlashGear Japan
Android Community got to spend some more hands-on time with the T-Mobile G1 this evening, at a special developers event held in Dallas. Big In Japan – the company behind Google Application Challenge award winning app ShopSavvy – were there, demonstrating the software in action on a G1. Fully operational, we were able to scan a barcode (in this case, a Logitech webcam) and compare prices both at local stores and online.
The G1 performed just as smoothly as when we played with it at the launch event last week, and ShopSavvy looks to be an app with great promise. Particularly useful is the price alert feature, which lets you save products to a wish-list and receive an update once they’re discounted into your preset price range. Check out the video interview we did with Big In Japan here.
Interested in Android? Want to know more about the T-Mobile G1? Check out our sister-site Android Community and get involved in the forums – everything you ever wanted to know about Google’s open-source mobile platform!
One Response to “T-Mobile G1 hands-on with ShopSavvy: Award-Winning Android App”
streetstylz October 5, 2008
NeoMedia has patents that cover this technology
Patent #6,651,053 — Interactive system for investigating products on a network
An interactive search system for use with a global computer network, e.g., the Internet, using a search identifying barcode to rapidly and effectively obtain a supply of related information for presentation to a user. A computer, either landline based or mobile, may be used to input a UPC code, taken from a package or advertisement or prestored in the computer, to an implementing server on the network. The server contains a database of product and manufacturer identifying UPC codes and uses the input UPC code and the database to identify the manufacturer and is programmed to then perform a search of the network to locate sites relating to or operated by the manufacturer. Also, the server may search the network on a product basis to locate other sites containing the UPC under search. Using “parsing” technology, the server “pulls out” the product description, transmits it to and places it in a random access memory (RAM) or storage of the computer, and proceeds to perform further searching relying on the product description to uncover relevant information. Accordingly, using a single input, a collection of product-related and manufacturer information is quickly assembled in the computer available for a user’s consideration all at once at any time.
Neutral