You are here
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in HypoxiaSBC: HVMN Inc. Topic: SOCOM17C001
In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
Human Performance OptimizationSBC: REJUVENATE BIO INC Topic: SOCOM17C001
Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
Small Team Command, Control, Communications and Situational Awareness (C3SA), SOCOM08-001SBC: CEEBUS TECHNOLOGIES, LLC Topic: SOCOM08001
SOF combat swimmers have a need for the continuous monitoring of each others relative position while diving and for the capability of being able to communicate with each other to help establish a common operational picture (COP).The C3SA system was previously developed under SBIR Topic SOCOM08-001 thru the receipt of both Phase I and Phase II SBIR awards.The C3SA established a stand-alone network ...STTR Phase II 2018 Department of DefenseSpecial Operations Command
Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.SBC: ARCTOS Technology Solutions, LLC Topic: DLA18A001
Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...STTR Phase I 2018 Department of DefenseDefense Logistics Agency
Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.SBC: X-Wave Innovations, Inc. Topic: DLA18A001
Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...STTR Phase I 2018 Department of DefenseDefense Logistics Agency
Inhibiting Prolyl Hydroxylase to Mimic Natural Acclimatization to High Altitude to Improve Warfighter Performance at High AltitudeSBC: Research Logistics Company Topic: SOCOM17C001
Acclimatization is the long-term adjustment that humans experience when exposed for weeks or months to high altitude. Acclimatization is important in this context because a warfighter who is acclimatized to high altitude is immune to high altitude illness, has superior work capacity, and has cognitive function approaching that found at sea level. In other words, the acclimatized warfighter is opti ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
System for Nighttime and Low-Light Face RecognitionSBC: Systems & Technology Research LLC Topic: SOCOM18A001
Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
System for Nighttime and Low-Light Face RecognitionSBC: MUKH Technologies LLC Topic: SOCOM18A001
Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
System for Nighttime and Low-Light Face RecognitionSBC: POLARIS SENSOR TECHNOLOGIES INC Topic: SOCOM18A001
The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...STTR Phase I 2018 Department of DefenseSpecial Operations Command