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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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SBC: 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
SBC: 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
SBC: HI-Z TECHNOLOGY, INC. Topic: A10AT024
Hi-Z Technology, Inc. (Hi-Z) and the University of California San Diego propose to adapt Hi-Z’s innovative Quantum Well (QW) thermoelectric (TE) technology to develop a TE cooler for the Army’s base camp tents. The cooler is to be embedded in the flexible tent materials and powered by electricity generated by photovoltaics. Hi-Z has developed nanocomposite QW TE materials that have high Figur ...STTR Phase I 2010 Department of DefenseArmy
SBC: ASPEN PRODUCTS GROUP INC Topic: A09AT018
Development of a novel logistic fuel reformer that has excellent tolerance to sulfur and is resistant to coke formation is proposed. The reformer will produce a hydrogen-rich product that contains less than 1 ppm sulfur and is suitable for use with solid oxide fuel cells. Significant improvements in power density, startup time, durability, and cost relative to state of the art logistic fuel refo ...STTR Phase I 2010 Department of DefenseArmy
SBC: Photon Systems, Inc. Topic: A06T029
This proposal addresses the need for miniature, low power, reagentless, robot-mounted, instruments for real-time detection and classification of trace concentrations of biological and chemical agents on surfaces. Deep UV laser induced native fluorescence (UVLINF) is the most sensitive technique for detection and rough classification of trace amounts of biological and organic materials. Photon Sy ...STTR Phase I 2006 Department of DefenseArmy
SBC: TECHNOLOGY ASSESSMENT AND TRANSFER, INC. Topic: A12aT021
Technology Assessment & Transfer proposes to develop a state-of-the-art terahertz imaging spectrometer capable of sub-wavelength resolution and high sensitivity to trace amounts of chemical and biological agents.STTR Phase I 2012 Department of DefenseArmy
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: SOCOM21C001
The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...STTR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: CHARLES RIVER ANALYTICS, INC. Topic: SOCOM21C001
Precision-guided munitions have demonstrated dramatic effects with minimal collateral damage. New technology developed specifically to deny them accurate guidance information is now feasible, even for non-traditional adversaries. Further, digital communications are flooding the air with signals that interfere with communications many guidance methods rely on. Swarms of small, covert small Uncrewed ...STTR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: DBC Technology Corp. Topic: N/A
The Phase I program objectives were successfully completed. In addition, novel ideas were developed that will be of use in the Phase II program and in the field of algorithm development and sensor characterization in the laboratory. Work on new algorithmswas initiated to optimize wavelength selection for vapor and aerosol detection, a detailed design for obtaining sensor detection statistics in th ...STTR Phase I 2003 Department of DefenseArmy
SBC: COLORADO ENGINEERING INC. Topic: OSD07T003
Colorado Engineering, Inc (CEI) is a small woman owned business with a wealth of engineering expertise in the development of software and hardware systems for DOD combat, weapon and sensor systems. The measuring and mapping of community development in order to adjust tactics, as well insert stimuli to direct future change, is a purely systemic problem. Community development and maximization of a ...STTR Phase I 2007 Department of DefenseArmy