SBIR/STTR Research Award

SBIR Phase II: Extracting Valuable Information Automatically from Objects with Surface Impressions via Photographs and Interactive Digital Surrogates

Award identifier 74a68d93f28cdbff23c39fcab22349b5b7d0518bc2efd360f9679421616096a5Awarding agency National Science Foundation

Award amount

$750,000

Program and phase

SBIR · Phase II

Award year

2013

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Learning Sites, Inc.
Proposal award date
2013-09-01
Contract end date
2015-08-31
UEI
DANXVPLU5KM3
Solicitation number
Not reported
Topic code
EI

Research abstract

The innovation, CUNAT (CUNeiform Automated Translator) attacks significant problems in a discipline wedded to conservative manual methods. Ancient Mesopotamian legal treatises, Egyptian medical records, and Roman political accounts--telling us exactly what happened in the words of the very people whose actions formed our history - languish untranslated, because there are too many of them, translation takes too long, and there are too few linguistic experts. "Cuneiform text genres include everything...from mathematical and grammatical exercises, beer recipes, international treaties, musical scores, legal codes, religious rituals, sales receipts, and astronomical tables....[M]useums...have acquired approximately 400,000 tablets, with thousands being unearthed every year.... [S]cholars continue to make unique and valuable contributions to the study of history, law, religion, linguistics, mathematics, and science" (Digital Hammurabi Project). CUNAT will allow anyone to create 3D models of artifacts and extract meaning from their impressions more effectively and quickly than existing tools. Phase II innovations include: extending the limits of image-based feature detection through unique algorithms based on 3D models automatically generated from photographs; isolating meaningful characters from noise across an array of surface shapes; classifying the characters of many dialects based on geometric characteristics; and performing automatic translation using graph-based algorithms and rules engines rather than traditional word-by-word methods. The broader/commercial impact of our innovation are new learning and analysis methods: a high-school student enters an art museum and sees an object with triangular-shaped surface incisions; the label reads "cuneiform tablet, 864BCE, Nimrud;" curious, the student aims a smartphone camera at the object and clicks; the images are uploaded into the project?s software app, which generates an interactive 3D model and an English translation of the inscription. The student may become the first person to have read the text and discover previously unknown astronomical knowledge detailed by the ancient scribe. Their software gives this research power and excitement of discovery to everyone, every institution, anywhere, anytime, because neither expensive special equipment nor complex calibration or lighting are necessary to produce results with unprecedented efficiency and accuracy. The innovations will address critical needs across the field of archaeology and produce a commercially viable product with applications to problems in museum exhibition, numismatics, and digital art history. In addition, accurate processes will be widely applicable, including forensics, paleontology, auto mechanics, personalized 3D printing, and carpentry. Beyond the insight into the past that will inevitably accrue, economic and technological advantages will motivate commercial adoption within and beyond our target market.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2012–2013). Reported award amounts total $900,000. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

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