SBIR/STTR Research Award

SBIR Phase I: Micro-Electromechanical Systems (MEMS)-Based Near-Zero Power Infrared Sensors for Proximity Detection

Award identifier cd9a1ee173799dbbecb7bf56fda45d469975964fd6847eb98e332a15db1709c6Awarding agency National Science Foundation

Award amount

$275,000

Program and phase

SBIR · Phase I

Award year

2024

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
National Science Foundation
Branch
Not reported
Recipient company
ZEPSOR TECHNOLOGIES INC
Proposal award date
2024-01-15
Contract end date
2024-12-31
UEI
K8WDZGAUHZF1
Solicitation number
NSF 22-551
Topic code
IH

Research abstract

This Small Business Innovation Research (SBIR) Phase I project seeks the development of a first-of-its-kind proximity sensor that consumes near-zero power at standby for touchless interface applications. The proximity detector is based on a proprietary micro-electromechanical systems (MEMS) infrared detector technology that is more accurate, more compact, and 100 times more power efficient than any existing infrared detector technology. The innovation is a digitized, ultra-low power, uncooled infrared detector. The total addressable market for this proximity sensor is estimated to be ~$4.7 billion in 2023, with a serviceable obtainable market of hundreds of millions for the technology. Although the market for proximity and presence sensing is extremely broad, the team has chosen to target touchless faucets and auto sanitizer dispensers as the go-to-market applications due to the technology and market readiness. The product and its commercialization process are expected to create societal and economic impacts in four areas including conservation of resources, hygiene promotion, and enhanced partnerships between university and industry. The intellectual merit of this project includes the first demonstration of a near-zero power proximity sensor with a wide field-of-view, tunable detection range, and temperature stability in a relevant indoor environment. State-of-the-art sensors drain battery power continuously regardless of the presence of target signal. The team recently broke the fundamental paradigm of wasting energy in standby mode with the invention of a completely passive sensor microsystem that can detect and discriminate events of interest by exploiting only the energy contained in their specific physical signatures. Remaining challenges for chip-scale hand detection include efficiently harvesting the tiny amount of thermal energy emitted by a hand to trigger a micromechanical photo-switch while achieving a high level of immunity to background temperature changes. A new plasmonically-enhanced, long-wave infrared absorber, a threshold tuning mechanism, and vacuum packaging are developed and expected to lead to the demonstration of a miniaturized prototype capable of reliably detecting a hand at 2-10 cm distance, while consuming less than 1 microamp current in standby mode. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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 (2023–2024). Reported award amounts total $2,074,737. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II

Agencies: Department of Defense, National Science Foundation

Agency intelligence

National Science Foundation

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.