News

Recent

• MobileAMA Releases Arabic Dataset 1.0 (Press Release) September 1, 2007


• MobileAMA Releases V-Code Trial Software & Demonstrations (Press Release) April 30, 2007


• MobileAMA Releases Fastest Mobile Barcode Reader (Press Release) February 20, 2007


• MobileAMA Releases V-Code (Press Release) December 5, 2006


• MobileAMA Releases Mobile Barcode SDK, June 2006


• Applied Media Analysis, Inc Awarded Mobile OCR Research Project, April 2006

Archives

MobileAMA Releases Mobile Barcode SDK

June 2006 - Applied Media Analysis, Inc. announces the availability of the AMA Mobile Barcode SDK, a software development toolkit (SDK) for integrating barcode reading into mobile platforms and applications. The mobile SDK provides a platform independent technology which can be integrated into most major mobile platform including the Windows Mobile, Symbian platforms, Windows, and Linux. The SDK is specifically designed for the needs of mobile barcode solution, and combines powerful barcode reading functions with a very small software footprint which runs smoothly on the limited resources a mobile device usually has. AMA's mobile barcode SDK is extremely efficient and can provide instant results with an extremely small memory requirement. Developers can easily embed barcode functionality into most mobile imaging devices, including camera phones, digital cameras, PDAs, palmtops, handheld scanners, web-cams and other camera-based hardware. Barcode reading capability embedded into handheld devices allows users to easily turn their camera phone into a personal barcode scanner.

Applied Media Analysis, Inc Awarded Mobile OCR Research Project

April 2006 - Applied Media Analysis, Inc was recently awarded the Mobile OCR SBIR (Small Business Innovation Research) Phase I project from the National Eye Institute, under the Department of Health and Human Services. For this project AMA will demonstrate the technical feasibility of Mobile OCR, a portable software module which makes use of existing personal devices to provide access to textual materials for the elderly or the visually impaired. The system will help these low vision individuals with basic activities in their daily lives, such as shopping, preparing meals, taking medication, and reading traffic signs. It will step beyond AMA's previous MobileEyes vision enhancement system to apply cutting edge recognition technology for mobile devices. The system will use common camera phone hardware to capture and enhance textual information, perform Optical Character Recognition (OCR) and provide feedback through audio or visual means.