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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.

  1. Target Tracking via Deep Learning

    SBC: Systems & Technology Research LLC            Topic: AF17AT027

    To address the challenge of long-term tracking, through extended occlusions and significant appearance changes, we propose to continue developing DC-CAT, a Deep Convolutional neural network (CNN) based Confuser-Aware high value target (HVT) Tracker.The DC-CAT system combines a state-of-the-art CNN-based adaptive HVT tracker with a CNN-based pre-trained generic target detector, in a deep-feature-ai ...

    STTR Phase II 2018 Department of DefenseAir Force
  2. n-field self-calibration for inertial and magnetic sensors via electrical stimulus

    SBC: ALPHACORE INC            Topic: AF18AT002

    Alphacore will develop a compact tunable surface mount component (capacitor bank) with tunable component range of more than 10:1. It will provide a tuning mechanism for a wide range of filter topologies with user selectable range of 10 bits. A capacitance selection from 100fF to 100pF using high density CMIM capacitors over small foot print for a variety of bands used in wide applications includin ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. Metasurface optics for compact and scalable polarization cameras

    SBC: Metalenz Inc.            Topic: AF18AT005

    Metasurfaces are a fascinating new direction for producing small form factor optical elements that can be directly integrated with a variety of sensors and illumination sources. Metasurfaces have received extensive attention for their potential applications in imaging optics as they enable significantly more compact camera modules with enhanced functionality and because the unit processes to creat ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. Damage Morphology of Advanced Concretes Using High-Speed X-Ray and Tomographic Techniques

    SBC: PHYSICS, MATERIALS, AND APPLIED MATHEMATICS RESEARCH L.L.C.            Topic: AF18AT012

    Multiple innovative experimental X-ray techniques will be developed and demonstrated to characterize damage mechanisms/processes in advanced concretes under both quasi-static and dynamic loading.These techniques will provide tomographic information of the 3D damage morphology, as well as dynamic fracture information with high temporal resolution. The techniques can be extended to either unconfined ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. High Temperature Materials for Hypersonic Radomes and Antennas

    SBC: ADVANCED CERAMICS MANUFACTURING, LLC            Topic: AF18AT013

    Missiles experience a wide range of thermal and mechanical environments due to the large variety of flight profiles.Since it is often the aerodynamic leading edge, the missile radome undergoes significant thermal and mechanical loading. The radome must survive the dynamic pressure loading, thermal shock and environmental erosion from airborne particulates (rain / sand) while performing as an elect ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. STAN: Scene and Target Analysis Network

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF18AT014

    The introduction of computer vision in precision-guided ammunition will potentially increase their targeting capabilities, in particular for moving targets such as tanks, vehicles and mobile command posts. EO/IR cameras offer a relatively inexpensive, low-SWaP payload solution which, combined with latest advances in SIMD hardware (GPUs), are finally starting to allow running sophisticated visual g ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Orientation-patterned Semiconductor Crystals with Low Insertion Loss and High Resistance to Laser Damage

    SBC: PHYSICAL SCIENCES INC.            Topic: AF18AT016

    The Air Force needs tunable laser systems with high average power in the mid-infrared region of the spectrum for military applications including defense against heat-seeking missiles.Currently-fieldedlaser systems, based on nonlinear frequency conversion in periodically poled lithium niobate (PPLN), have limited optical power at wavelengths between 4 m and 5 m because of intrinsic absorption in th ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Diamond Cathode Coating for Spacecraft Charge Mitigation

    SBC: PHYSICAL SCIENCES INC.            Topic: AF18AT011

    Physical Sciences Inc. (PSI) proposes the development of a composite laminate cathode coating based largely on consumer off the shelf (COTS) industrial materials functionalized to possess a low work function, negative electron affinity surface. The cathode coating is applicable to any surface of a spacecraft, regardless of shape or material, and allows passive one wire operation for spacecraft cha ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Laser and Rapid-thermal Crystallization of Low-defect GeSn and SiGeSn Layers for High Performance Infrared Detectors and Integrated Si-based Optoelectronic Devices

    SBC: EPITAXIAL LABORATORY INC            Topic: AF16AT28

    latereThis proposal describes the development of a process to synthesize low defect Ge1-xSnx and SiyGe1-x-ySnx layers on silicon and silicon-on-insulator (SOI) substrates through low thermal budget laser and rapid thermal annealing/crystallization for high performance mid-wave infrared (MWIR) photo detectors and integrated Si-based optoelectronic devices. In phase I, we demonstrated synthesis of G ...

    STTR Phase II 2018 Department of DefenseAir Force
  10. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face 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
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