NanoSynth Materials and Sensors Inc. — Department of Health and Human Services SBIR Phase I: 450
NanoSynth Materials and Sensors Inc. — SBIR Phase I award from Department of Health and Human Services.
- Amount
- $225,000
- Agency
- Department of Health and Human Services · National Institutes of Health
- Program / Phase
- SBIR · Phase I
- Topic
- 450
- Solicitation
- PA18-574
- NAICS
- —
- Place of performance
- UT
- Period
- 2018-09-15 → 2019-08-31
Description
PROJECT SUMMARY The overarching goal of this proposal is to develop an artificially intelligent alcohol sensor that is wearablenoninvasivesmartand aestheticThe aimin Phase Iis to design and develop the alcohol sensor based on metali eCobaltfunctionalized Titanium nanotubesTiNTto detectmonitorand display blood alcohol levels in real time using microcontrollers based wrist band like devicesAt the core of our innovationwe have Cobaltfunctionalized TiNT sensors which are capable of detecting alcohol exposure from the skin inppm level that can be tuned down toppb level as welli esensitivity of the sensor is tunableThe control unit of our system is reusablesensors are replaceablethe microcontrollers are equipped with a micro SD card for personal data storageand the proposed unit has a built in wireless system for data transmissionThis proposal also aimsin Phase IIto create an integrated artificially intelligentAInetwork that will have the capabilities ofatranslating the real time data into a pre cautious safety signals that will communicate with the personal vehicle safety features through a wireless signali eBluetoothandcadaptively taking unattended decisions on demandDoDthrough machine learning when the driver is heavily intoxicatedProject Narrative Breath analyzers within the law enforcement settings alone cannot tackle the problems associated with alcohol consumptions and abuseRecently developed wearable alcohol sensor technologies mostly rely on wet electrochemical environments around the skinThereforewe propose to develop wearable alcohol sensor using titania nanotube which will be drynoninvasiveartificially intelligentand aestheticWe also aim to integrate these sensors through machine learning for taking unattended decisions on demand under influence