SBIR/STTR Research Award

SBIR Phase I: GIGAHERTZ ULTRASONIC FINGERPRINT IMAGERS

Award identifier e7dd7c3b56035217153a687b3ba3e42714a1e125ea7cbb27e12810cb541af38dAwarding agency National Science Foundation

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2018

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
GEEGAH LLC
Proposal award date
2018-01-01
Contract end date
2018-06-30
UEI
UDDKD697XMN9
Solicitation number
Not reported
Topic code
IT

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to provide spoof-free biometric fingerprint sensors. Consumer confidence in adopting many technologies such as IoT devices, and reach a cash-less society is limited by our confidence in transactions being fraud-free. Around the world, there are varying degrees of fraud and it is well known that poorer countries have higher levels of fraud then more advanced countries. By providing a trustable biometric device, the proposed commercialization plan will allow lower levels of fraud and allow greater degree of economic activity bringing up standards of living. The technology of GHz ultrasonics for sensing also has the potential for to be used for applications in being able to image baby fingerprints, enable fingerprint readers in fire-arms for authenticated use at very fast speeds, and allow integration with credit and debit cards. The success of the commercial activities will create a new paradigm for trusting the electronic economy. This Small Business Innovation Research (SBIR) Phase I project will develop revolutionary new biometric sensors. Biometric technologies range from sensing the unique patterns of the eyes, to voice, and fingerprints amongst other markers. Capacitive fingerprint sensors, and optical fingerprint sensors are very commonly found in smartphones and desktop applications. These technologies produce images that are often limited in resolution and are not spoof-proof. For example, optical fingerprint readers can be spoofed by fingerprint images and capacitive fingerprint sensors can be spoofed by skin-like dielectric polymer fingerprint molds. Ultrasonic images offer the potential for detecting tissue material properties that can help identify fake fingerprints. Although many low-frequency technologies for ultrasonic fingerprint sensing are available, very few have made it into the market in large quantities owing to cost, packaging, and insufficient SNR and resolution. In this project the company will extend the frequency of operation to the GHz range to achieve four to eight times the standard industry standard of 500 dpi resolution. Coupled with integrated circuits operating at low voltages, the company aims for integration of the sensors in very thin platforms such as credit cards.

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

8 SBIR/STTR records share this UEI (2018–2025). Reported award amounts total $5,920,792. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Health and Human Services, National Science Foundation, Department of Energy

Agency intelligence

National Science Foundation

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