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Award Data
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.
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HawkEye MicroLens Hyperspectral Imager for Standoff Chemical Detection
SBC: SA Photonics, Inc. Topic: CBD171002SA Photonics is please to submit the proposal for the HawkEye compact LWIR hyperspectral imaging system. HawkEye leverages SA Photonicsprevious visible, SWIR, and LWIR programs to result in a compact, hand held, battery operated hyperspectral imager in a low cost designapproach. Furthermore, HawkEye will leverages SA Photonics expertise in warfighter body worn equipment and ground troop personaleq ...
SBIR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense -
Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia
SBC: HVMN Inc. Topic: SOCOM17C001In 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 -
Marburg Virus Prophylactic Medical Countermeasure
SBC: Flow Pharma, Inc. Topic: CBD18A002Flow Pharma, Inc. is a biotechnology company in the San Francisco Bay Area developing fully synthetic cytotoxic T lymphocyte (CTL)stimulating peptide vaccines for Marburg virus. The FlowVax vaccine platform allows us to create dry powder formulations of biodegradablemicrospheres and TLR adjuvants incorporating class I and class II T cell epitopes. FlowVax vaccines can be designed for delivery by i ...
STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense -
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery
SBC: TOYON RESEARCH CORPORATION Topic: 1On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Algorithms for Look-down Infrared Target Exploitation
SBC: Signature Research, Inc. Topic: 1Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Marburg Virus Prophylactic Medical Countermeasure
SBC: MAPP BIOPHARMACEUTICAL, INC. Topic: CBD18A002There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...
STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense -
Variational Object Recognition and Grouping Network
SBC: INTELLISENSE SYSTEMS INC Topic: NGA181005To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Bayesian Urban Degradation Assessment
SBC: INTELLISENSE SYSTEMS INC Topic: NGA181004To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
System for Nighttime and Low-Light Face Recognition
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: SOCOM18A001The 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 -
MicroLens Hyperspectral Imager for Standoff Chemical Detection
SBC: SURFACE OPTICS CORP Topic: CBD171002A program to develop a compact, MLA-based, LWIR hyperspectral imager is proposed. The proposed Hyperspectral Chemical Imaging Sensor(HyCIS) builds upon Surface Optics real-time hyperspectral imaging activities, including our 3D full-motion video spectral imaging (FMV-SI)technology and our MIDIS hyperspectral image processor. Simultaneously sampling 16 or more spectral bands from 8 um to 12 um (MWI ...
SBIR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense