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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.

  1. Volume Digital Holographic Wavefront Sensor

    SBC: NUTRONICS, INC.            Topic: AF18AT006

    Nutronics, Inc. and Montana State University propose to develop and evaluate computational methods for a Volume Digital Holographic Wavefront Sensor (VDHWFS).VDHWFS based imaging offers the potential to provide the equivalent of wide field of view adaptive optics (AO) compensated imaging, but without the added complexity of AO components and hardware.Recent result for coherent imaging developed by ...

    STTR Phase I 2018 Department of DefenseAir Force
  2. Non-Linear Adaptive Optics (NLAO)

    SBC: NUTRONICS, INC.            Topic: AF18AT008

    Nutronics, Inc. and Montana State University propose to develop an approach for non-linear control of hysteresis and incorporate (if necessary) integrated Multi-Input-Multi-Output real time control with this capability.Our control systems already include a proven high speed real time control approach to determine the optimal set of actuator commands that satisfy inter-actuator stroke limitations.O ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. Stable High Bandwidth AO Control with physical DM constraints

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT008

    Adaptive optics (AO) system performance is hindered by the mechanical limits of the deformable mirror (DM), namely stroke limits, interactuator stroke limits, and mechanical resonance.The nature of the multi-in multi-out (MIMO) control system does not lend itself well to notch filters to combat the mechanical resonances, and the stroke limits introduce non-linearities to the system.The traditional ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  6. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  7. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: X-Wave Innovations, Inc.            Topic: DLA18A001

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  8. Quantum Dot LED Array for IR Scene Projection

    SBC: NANOHMICS INC            Topic: AF18AT017

    Recent breakthroughs in the material quality and fabrication methods of III-V InAs/GaSb superlattice (SL) structures with a Type II band alignment has enabled high-performance MWIR detectors and LEDs. Nanohmics Inc. in collaboration with UT Austin proposes to develop Type II InGaSb/InAs quantum dot infrared light emitting diodes (QD-IRLED) for high-power infrared scene projection. This particular ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Integrated ultra-high performance electro-optic modulators

    SBC: SRICO INC            Topic: AF18AT003

    This proposed project combines advanced thin film materials engineering technology with state of the art photonic integrated circuit device concepts to develop next generation integrated electro-optic modulator devices. The proposed high speed thin film electro-optic modulator technology fills a critical need for compact, low voltage, and high analog bandwidth linear electro-optic modulators in si ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Volumetric Wavefront Sensing for the Characterization of Distributed-Volume Aberrations

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT006

    Modern Directed Energy (DE) missions require target engagements at low elevation angles and long ranges.These engagement geometries require propagation through distributed-volume turbulence. To correct for distributed-volume turbulence effects, an estimation of the turbulence along the propagation path is required. Correcting for these image aberrations will improve the quality of the target image ...

    STTR Phase I 2018 Department of DefenseAir Force
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