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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
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.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Wireless Non-Invasive Advanced Control of Microprocessor Prostheses and Orthoses
SBC: LIBERATING TECHNOLOGIES INC Topic: DHP17A005There are several current and imminent orthotic and prosthetic (O&P) fitting scenarios that would greatly benefit from the ability to wirelessly collect and transmit physiological information from the user. Both upper- and lower- limb O&P fittings that: 1) use osseointegration, 2) have cable management issues, and 3) could benefit from physiological information from locations proximal to the prost ...
STTR Phase II 2018 Department of DefenseDefense Health Agency -
RASP- Automated Scoring Program for Rodent Ultrasonic Vocalizations (USVs)
SBC: Mide Technology Corporation Topic: DHP16C003Rodents serve as models for the human brain and behavior, and their calls give researchers a window into their mood. Unfortunately, rodent calls are ultrasonic, so a researcher must record a test and then play the audio back at a slower speed to manually categorize and count calls. Software does exist to accomplish this task, but it does not have the ease of use or accuracy that researchers want. ...
STTR Phase II 2018 Department of DefenseDefense Health Agency -
Portable, Non-Contact, Quantitative, Physiology and Health Assessment Imaging System
SBC: BODKIN DESIGN & ENGINEERING LLC Topic: DHP16C005Accurate assessment of burn depth and surface area are important to clinical decision-making regarding treatment. Initial assessment determines fluid requirements and transportation decisions to distant-care facilities. The clinician must determine if the wound will heal itself or whether excision and grafting are necessary for optimal wound healing. The standard of care remains visual inspection ...
STTR Phase II 2018 Department of DefenseDefense Health Agency -
Bio-magnetic Detection of Neuromuscular and Wound Related Injuries
SBC: TRITON SYSTEMS, INC. Topic: DHP17A001It is generally recognized that the human body transmits electro-magnetic fields (EMF). The Phase I program demonstrated a practical solution to detect these emissions. The technology was shown to be compatible for integration into wearable textiles. The Phase 2 program will focus on demonstrating the capability of discriminating between healthy and injury related EMF emissions such that it can be ...
STTR Phase II 2018 Department of DefenseDefense Health Agency -
A Portable Multimodality System for in-field Airway Injury Assessment and Compliance Measurement
SBC: RADIATION MONITORING DEVICES, INC. Topic: DHP16C006Airway compromise is the third leading cause of potentially preventable death on the battlefield. Current evaluation techniques of the airways associated with smoke inhalation injury are highly subjective and lack the sensitivity required of an accurate diagnostic and assessment tool. The problem of detection is further compounded by the late onset of symptoms that in many cases do not present unt ...
STTR Phase II 2018 Department of DefenseDefense Health Agency -
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 -
Combat Systems of the Future
SBC: Advanced Systems/Supportability Engineering Technologies And Tools, Inc. Topic: N05149The S-351 mini-sub is a prototype of the Dry Combat Submersible (DCS). This prototype was established as a means of risk reduction prior to a full commitment to the DCS program. Both of these platforms have an operational need to transit with minimum operator fatigue safely to a pre-defined point and covertly deploy and retrieve SEALS. To meet these operational needs, these platforms require upgra ...
STTR Phase II 2017 Department of DefenseSpecial Operations Command -
Functionalized, Therapeutic-Loaded Liposomes for the Acute Treatment of TBI
SBC: LUNA INNOVATIONS INCORPORATED Topic: DHA18A001Traumatic brain injury is a common problem in both the military and civilian communities, but current treatment protocols are focused on managing symptoms and fail to prevent significant long-term repercussions. In the proposed program, Luna will demonstrate the feasibility of a liposome-based therapeutic delivery system capable of delivering hydrophilic and hydrophobic therapeutics to the traumat ...
STTR Phase I 2018 Department of DefenseDefense Health Agency -
System for Nighttime and Low-Light Face Recognition
SBC: Systems & Technology Research LLC Topic: SOCOM18A001Face 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