You are here
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.
-
Adaptive camera to display mappings using computer vision
SBC: POLAR RAIN, INC. Topic: N/AThe video surveillance industry is experiencing dramatic change with the move from analog to digital video. Command centers need to have coordinated viewing of multiple camera feeds at one time, and the ability to switch automatically between feeds and display relevant patterns. Conventional security control rooms include a bank of monitors connected through a switch to an array of security camera ...
STTR Phase I 2006 Department of Homeland Security -
Human-Centric Training and Assessment System for Cyber Situational Awareness
SBC: Scalable Network Technologies, Inc. Topic: OSD12T08The goal of the proposed work is to develop a human-centric training and assessment system for cyber situation awareness. The envisioned system will enable instructors to define training goals, design lesson plans, assign students roles in teams, and observe students performance, record events and interactions for scoring. The instructor/students can place tags (time or event) to roll back or repl ...
STTR Phase II 2014 Department of DefenseOffice of the Secretary of Defense -
MK III Upper Extremity Exoskeleton
SBC: Ekso Bionics Inc Topic: 739552As the carry and protective gear of the modern war fighter increases, the burden on the human body will necessarily increase. In our present TALOS MkIII project, we are developing lower body augmentation to preserve speed and agility while bearing this weight. Yet we cannot ignore the impact of this weight on the upper body: in this project we propose to develop an upper body exoskeleton with p ...
STTR Phase II 2015 Department of DefenseSpecial Operations Command -
Information Salience
SBC: DISCERNING TECHNOLOGIES, LLC Topic: OSD11TD1Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.
STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
TALOS User Experience
SBC: SOAR TECHNOLOGY INC Topic: A13068With the advanced capabilities planned by the TALOS program comes the risk of the operator becoming overwhelmed by the information available and the operation of the suit itself. To effectively employ the suit in the field, TALOS requires an effective situational awareness display and an intuitive, low-impact way of interacting with the suits physical/sensor systems. SoarTech proposes to continue ...
STTR Phase II 2016 Department of DefenseSpecial Operations Command -
Data Driven Intent Recognition Framework
SBC: OTHER LAB, INC. Topic: NSF13599A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...
STTR Phase II 2016 Department of DefenseSpecial Operations Command -
Development of Advanced Military Prosthetic Shoulder System
SBC: Sarcos Group LC Topic: A05161A new dual pump hydraulic supply designed to enable energetically autonomous exoskeleton robots will be developed, tested and demonstrated. This new hydraulic supply will be integrated with a high performance hydraulically actuated full body exoskeleton robot and used to test and demonstrate the overall performances of such systems. New control policies that include: (i) an assist mode, where the ...
STTR Phase II 2017 Department of DefenseSpecial Operations Command -
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 -
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