SBIR/STTR Research Award

Rosetta Phone

Award identifier 89a4ceeaa2e629661f7ece0ea0aa081698e0a6fa6091d29c4adf6c0d1706aef3Awarding agency Department of Defense · Defense Advanced Research Projects Agency

Award amount

$98,993

Program and phase

STTR · Phase I

Award year

2006

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Defense Advanced Research Projects Agency
Recipient company
NEXT WAVE SYSTEMS, LLC
Proposal award date
2006-08-18
Contract end date
2007-08-31
UEI
Not reported
Solicitation number
Not reported
Topic code
ST061-003

Research abstract

Most DoD missions occur in areas of the world where the native language is not English. The warfighters find themselves in situations where a quick, real-time translation of signs, placards, and documents could lead them out of dangerous situations or provide important clues and information relative to the mission at hand. In places such as Afghanistan or North Korea, this turns out to be a particularly difficult problem, since the languages commonly used in these countries are written with characters that cannot be typed into a translation device or even searched for in a dictionary (unless the user has a significant knowledge of the given language.) A valuable tool would be a handheld device (e.g., a mobile telephone or PDA) that would be capable of translating the text found in natural scenes into spoken English and text. The device should also possess the ability to transmit the captured image and text information to other warfighters in the area or to the warfighter’s command and control organization or intelligence agencies that may assist in understanding the image as it applies to the larger overall mission. The Rosetta Phone takes the form of a handheld mobile device (HMD) such as a mobile telephone or a PDA. The HMD is assumed to be equipped with a color camera and, at least part of the time, wireless network capabilities. In order to be able to provide a translation of text found in natural images, the HMD needs to be programmed to perform the following sequence of tasks: • Natural Scene Image Acquisition • Text Segmentation (TS) • Optical Character Recognition (OCR) • Text Translation (TT) • Audio Output Once these tasks have been performed, several output items are available for display/listening, including the original image, the segmented text image, the optical character text, the English text translation, and the audio file (MP3) of the translation. The user will be able to choose to transmit any of these to a server, or to other users’ HMDs supporting the mission. Each of the five tasks needs to be accomplished by the HMD in real-time and autonomously to ensure operation without the help of a remote server.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.