SBIR/STTR Research Award

EyeSense™: AI-Powered VOC NanoSensor Integrated Autonomous Real-Time Monitoring System for Ocular Injury Management

Award identifier 18400bb343b55a3b4d93c5d433b0f82695f6aba3154c0f20f34c935d99ccf5f3Awarding agency Department of Defense · Defense Health Agency

Award amount

$1,299,816

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2025

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 Health Agency
Recipient company
TAO TREASURES, LLC
Proposal award date
2025-09-05
Contract end date
2028-01-14
UEI
E1Y9Z246LAU8
Solicitation number
25.4
Topic code
DHA254-DP001

Research abstract

NanoBioFab proposes to develop and validate the EyeSense™ smart eye shield—a dual-modal, AI-powered, field-deployable diagnostic device designed for real-time, non-invasive monitoring of ocular trauma in military and austere care environments. Ocular injuries, particularly in combat scenarios, often require protective eye shields to prevent further damage. However, current protocols prohibit shield removal prior to specialist evaluation, making it impossible to detect silent yet progressive complications like infection or hemorrhage without risking additional harm. EyeSense™ addresses this diagnostic blind spot by integrating two synergistic sensing modalities into a wearable shield form factor: (1) a proprietary VOC nanosensor array for detecting infection-relevant biochemical signatures, and (2) a multi-point, non-imaging optical detector array focused on red-spectrum reflectance to monitor visual cues such as hemorrhage or inflammation. These inputs will be processed by embedded AI algorithms that provide actionable alerts (e.g., via local LED indicators or BLE output) directly on the device.The Phase II effort will (1) engineer and fabricate at least eight fully integrated prototypes using ultra-low-power electronics and military-compatible mechanical designs, (2) validate sensor performance and diagnostic accuracy in a controlled ex vivo porcine eye model simulating trauma and infection, (3) confirm longitudinal functionality and biocompatibility in a rigorous in vivo survival pig model, and (4) engage with the FDA via Q-submission to define the regulatory pathway. The device is engineered for up to 72 hours of autonomous operation, using aggressive duty cycling and COTS components to meet power and cost constraints.Expected outcomes include a TRL 5–6 validated prototype, AI models achieving ?85% sensitivity/specificity for infection/hemorrhage detection, and SOPs for preclinical and clinical transition. This system will offer transformative situational awareness to field medics and first responders, reduce iatrogenic risk, and enable earlier intervention for ocular injuries. EyeSense™ has strong dual-use potential across military, emergency, ophthalmic, and occupational care sectors where early complication detection is crucial.

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.

Awards with the same topic code

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

Research funding history

8 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $9,020,130. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

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.