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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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IMPACT OF USING DISPERSED SENSORS FOR NAVIGATION
SBC: Abacus Programming Corp Topic: N/ATHE NAVAL AIR SYSTEMS COMMAND HAS REQUESTED AN INVESTIGATION OF THE SHARING OF THE INERTIAL INSTRUMENTS FROM WITHIN MULTIPLE DISPERSED INERTIAL SYSTEMS. THE SHARING OF REDUNDANT HARDWARE TO PROVIDE FAULT TOLERANCE IS COMMON ON FLIGHT CRITICAL AND LIFE THREATENING AVIONICS APPLICATIONS. THE DIFFERENCE IN THIS INVESTIGATION IS TO EXPLORE THE SHARING OF THE INERTIAL INSTRUMENTS FROM WITHIN MULTIPLE D ...
SBIR Phase I 1990 Department of DefenseNavy -
INERTIAL SYSTEM EXPERT SYSTEM
SBC: Abacus Programming Corp Topic: N/AABACUS PROGRAMMING CORPORATION PROPOSES TO KNOWLEDGE ENGINEER AND DEVELOP A PROTOTYPE OF AN INTERACTIVE EXPERT SYSTEM TO AID IN THE SELECTION OF INERTIAL SYSTEMS FOR NEW AND UPGRADED MISSILE/WEAPON SYSTEMS. THE EXPERT SYSTEM WILL ALLOW A NON-SPECIALIST USER TO ACT AS AN EXPERT IN INERTIAL SYSTEMS TO MATCH MISSION REQUIREMENTS WITH INERTIAL HARDWARE CAPABILITIES AND TO EVALUATE THE MISSION IMPLICAT ...
SBIR Phase I 1990 Department of DefenseNavy -
SCALABLE MULTIMEDIA DATABASE INTEGRATION AND VISUALIZATION TECHNOLOGY
SBC: DEUMBRA, INC. Topic: N/AIn this proposal, we will develop a uniform framework, called a multimedia mediator, for integrating and querying multimedia data as well as heterogenous data located on a distributed network. The multimedia mediator will use distributed computing technology to scale up to real-world applications. We will develop graphical query languages and query engines whereby an end-user can query a system ...
SBIR Phase I 1996 Department of DefenseNavy -
Feasibility of Using Impulse Radar to Detect and Identify Detonators
SBC: AKELA INC Topic: N/AThis proposal seeks to demonstrate the feasibility of using impulse radar techniques to detect and identify explosive detonators. It relies on the fact that a radar impulse will excite natural electromagnetic resonances which characterize the size, shape, and material composition of an object. These resonances are present in the scattered transient return from the object and can be extracted by ...
SBIR Phase I 1996 Department of Transportation -
REMOTE AERIAL INSPECTION OF BRIDGES
SBC: Aca Industries, Inc. Topic: N/AOF THE OVER 600,000 HIGHWAY BRIDGES AND APPROXIMATELY 100,000 RAILROAD BRIDGES IN THE U.S., MANY ARE DIFFICULT TO INSPECT BECAUSE OF LIMITED ACCESSIBILITY. REMOTE INSPECTIONBY UNMANNED AERIAL VEHICLES MAY PROVIDE A SOLUTION TO THIS PROBLEM, BUT INVOLVES CONSIDERATIONS OF VEHICLE SUITABILITY (HELICOPTER, BLIMP DUCTED FAN VEHICLE), THE BRIDGE LOCAL ATMOSPHERIC ENVIRONMENT, AND THE TYPE OF CONTROL (R ...
SBIR Phase I 1990 Department of Transportation -
BROARD-BAND ULTRASONIC INSPECTION SYSTEM FOR CERAMIC PAR
SBC: Accsys Technology, Inc. Topic: N/AN/A
SBIR Phase II 1990 Department of DefenseNavy -
Application of Neural Networks for Pattern Recognition in Logistics Data
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/AIn this Phase I SBIR, Accurate Automation Corporation will prototype key component technologies for a neural network-based Logistic Support Assistant that will assist Navy Supply Management personnel in planning and forecasting of logistics efforts. Fully developed as part of a Phase II effort, this system will help ensure smooth continuity of performance even when personnel are reassigned. ...
SBIR Phase I 1996 Department of DefenseNavy -
Accurate Automation Corporation Fuzzy Logic/ Neural Network Processor
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/AIn this project we will adapt our programmable neural network processor (NNP) into a Fuzzy/neural network processor (FNNP). Already having the commercially successful NNP, we begin this program with more than half the work completed. we will define and evaluate NNP architectural modifications to optimize both data flow and data processing for both fuzzy logic and neural network- Operations- we w ...
SBIR Phase I 1996 Department of DefenseNavy -
Neural Network Figure of Merit Subsystem
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/AN/A
SBIR Phase I 1992 Department of DefenseNavy -
NEURAL NETWORKS FOR AUTONOMOUS MOTOR CONTROL
SBC: ACCURATE AUTOMATION CORPORATION Topic: N/AN/A
SBIR Phase I 1990 Department of DefenseNavy