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Award Data

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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.

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.

Displaying 196021 - 196030 of 205243 results
  1. Four-Color Imager Based on Si-Ge

    SBC: AGILTRON, INC.            Topic: A10083

    In this program, Agiltron, Inc. and RTI International propose a four-color sensor based on SiGe alloys. The sensor will provide sequential detection in the UV, visible, near infrared (NIR), and mid-wave infrared (MWIR) bands. The sensor is composed of a stack of photodiodes sensitive to different bands of radiation to achieve broadband detection. The photodiodes are activated sequentially by imple ...

    SBIR Phase I 2011 Department of DefenseArmy
  2. Multilayered Wall Characteristic Extraction for Through Wall Radar Systems

    SBC: eWave Informatics            Topic: A10084

    The primary objective of this Phase I project is to develop radar-based techniques and algorithms to accurately estimate the parameters of walls, such as dielectric constant, conductivity (or loss-tangent) and thickness, as well as to devise methods that can characterize inhomogeneous walls by detecting presence of foiled-back insulation, reinforced wires/studs, water pipes, and enclosed air-gaps, ...

    SBIR Phase I 2011 Department of DefenseArmy
  3. Wall Characteristic Extraction for Through Wall Radar Systems

    SBC: AKELA INC            Topic: A10084

    AKELA is proposing to leverage the experience we have gained in developing systems for through the wall sensing by using our high performance field tested radar technology as the starting point for wall characteristic extraction algorithm development, performing experiments to bound major development risk areas, and using this data to determine achievable accuracy for extracting wall characteristi ...

    SBIR Phase I 2011 Department of DefenseArmy
  4. Scenario Based Modeling of Electronic Systems

    SBC: EMAG TECHNOLOGIES, INC.            Topic: A10085

    In this SBIR project we will develop an integrated software framework for RF system-of-systems simulation. The framework will feature a number of"Point Tools"that can address and solve certain types of problems very efficiently. The primary concept is to decompose a large computational domain into a number of smaller and more manageable sub-domains. Each sub-domain is solved using the"right"point ...

    SBIR Phase I 2011 Department of DefenseArmy
  5. Scenario Based Modeling of Electronic Systems

    SBC: REMCOM INC            Topic: A10085

    The ability to model complex systems relevant to EW defeat scenarios, currently requires a knowledgeable user to decompose high-level phenomena into a set of individual phenomena in order to model each phenomenon individually. There are no end-to-end models or systems of models that can appropriately model all aspects of the problem and coherently bring them together into an accurate solution. Thi ...

    SBIR Phase I 2011 Department of DefenseArmy
  6. Spectroscopic Home Made Explosive Detector

    SBC: L. C. PEGASUS CORP.            Topic: A10086

    This proposed project is aimed at the development and demonstration of a cost-effective and power-efficient advanced remote sensing technology able to detect home made explosives. The system will be specifically designed to detect trace amount of the out-gassed by-products of explosive materials, in particular, ammonia species using infrared absorption spectroscopic techniques. The system will be ...

    SBIR Phase I 2011 Department of DefenseArmy
  7. Explosive Detection LADAR (EDL)

    SBC: Systems & Processes Engineering Corporation            Topic: A10086

    Systems & Processes Engineering Corporation (SPEC) proposes a miniature class 1 eye-safe LADAR to provide explosive detection and classification through use of Raman scattering spectroscopy. The system is a hand held device interfacing to a tough book computer, allowing operation by dismount troops. The unit can find IEDs, Identify Suicide Bombers and interrogate suspicious packages and vehicles. ...

    SBIR Phase I 2011 Department of DefenseArmy
  8. Identification Based on Individual Scent (IBIS)

    SBC: LI CREATIVE TECHNOLOGIES INC            Topic: A10087

    The need arises to explore biometrics that can identify a person at crime scenes. One such biometric that can be collected non-cooperatively is an individual"s scent. The goal of human scent research is to facilitate to development of sensor systems, whether based on contact or non-contact method of odor collection. The research proposed herein will provide key foundational knowledge that will ult ...

    SBIR Phase I 2011 Department of DefenseArmy
  9. Forensic Facial Image Analysis providing 3D Mapping, Metatagging, Comparative Operation and Search System

    SBC: SECURICS, INC.            Topic: A10088

    The ability to accurately catalog and search through vast repositories of human images has been difficult to achieve for several reasons. The most common approach to this problem involves the manual tagging of images with textual descriptions. Unfortunately, manual tagging is a laborious process, and the resulting tags are often misleading or incorrect, as can be seen in Figure 1. Securics, Inc. h ...

    SBIR Phase I 2011 Department of DefenseArmy
  10. Forensic Facial Image Analysis Providing 3D Mapping, Meta-tagging, Comparative Operation and Search System

    SBC: PROGENY SYSTEMS, LLC            Topic: A10088

    With the growing concerns surrounding security and terrorism around the world, biometrics has become one of the premier solutions to combat these issues. By extracting unique anatomical features and markings we can not only learn the identity of subjects but also their associations in social groups based on our novel research regarding Scars, Marks, and Tattoos (SMT). In this proposal, we present ...

    SBIR Phase I 2011 Department of DefenseArmy
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