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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. Interactive Software Tools for Processing QIF-formatted Part Models to Generate Realistic and Accurate Measurement Plans and Programs in Standard Digital Languages

    SBC: CAPVIDIA NA LLC            Topic: NA

    The QIF standard shows the promise of offering an environment where best-in-class metrology applications can be linked to yield solutions that are automated, optimized, adaptive, and traceable, maintaining the agility required to ensure U. S. global competitiveness. While the QIF standard has reached a substantial level of comprehensiveness and maturity, the embodiment of the standard in actual, c ...

    SBIR Phase I 2017 Department of CommerceNational Institute of Standards and Technology
  2. Large Field of View Microscope for Rapid, High-Resolution Imaging

    SBC: NIKIRA LABS INC.            Topic: NA

    In this SBIR effort, Nikira Labs Inc. proposes to develop a high-resolution (< 1 micron) microscope that can rapidly (< 30 seconds) image a large field of view (> 1 cm2). The technology will provide both bright-field and fluorescence imaging and be capable of retrofitting into a wide variety of existing microscopes at a low retail price. This work will complement the microscopy efforts that are on ...

    SBIR Phase I 2017 Department of CommerceNational Institute of Standards and Technology
  3. Air Movement Efficiency Monitor

    SBC: XCSPEC, Inc.            Topic: NA

    The Air Movement Efficiency Monitor is composed of small, inexpensive Microelectromechanical system (MEMS) sensors, connected wirelessly to the Internet, and distributed through a building to measure pressure readings at key points. We consider this a “FitBit” for a building’s air-movement efficiency, employing many of the sensors used by a fitbit – temperature, humidity, acceleration. We ...

    SBIR Phase II 2017 Department of CommerceNational Institute of Standards and Technology
  4. Visual Part Identification, Localization, and Manipulation with Deep Networks

    SBC: SYMBIO ROBOTICS, INC.            Topic: NA

    During Phase I, Symbio Robotics conducted initial development of a robust, real-time, high-performance, low-cost perception engine made possible by recent advances in deep learning. This system identifies parts in 2D or 3D images and determines their six degree-of-freedom poses, producing a full description of a scene in a fraction of a second. For this technology to be practically useful in manuf ...

    SBIR Phase II 2017 Department of CommerceNational Institute of Standards and Technology
  5. Facial Recognition at Long Distance System

    SBC: Physical Optics Corporation            Topic: SOCOM163003

    To address the USSOCOM need for man-portable advanced tactical facial recognition technologies at ranges of 650 m to 1 km, Physical Optics Corporation (POC) proposes to develop a new Facial Recognition at Long Distance (FAREL) system based on an innovative combination of technologies that include lucky imaging and a customized deep convolutional neural network (CNN) method. Specifically, the innov ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  6. Advanced Tactical Facial Recognition at a Distance Technology

    SBC: TAU TECHNOLOGIES LLC            Topic: SOCOM163003

    Tau Technologies leads a team with proven experience in applying technology to solve real world challenges. Our program manager was the Principal Investigator at Battelle Memorial Institute on a project that successfully developed and demonstrated a 300-meter range, man-portable facial recognition system for SOCOM. This proposal will incorporate newer technology and algorithms to improve accurac ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  7. Digital Adaptive Optics for Advanced Tactical Facial Recognition at a Distance

    SBC: TREX ENTERPRISES CORPORATION            Topic: SOCOM163003

    Positively identifying a target at tactical ranges is a formidable task that is hindered by target occlusion, atmospheric turbulence, hardware limitations, focus errors, lens aberrations, and blur from unstable platforms. The solution proposed solves these issues by combining a recently developed Digital Adaptive Optics technology with advanced facial recognition algorithms, to arrive at a man-po ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  8. Integrated Color Night-Vision Camera

    SBC: Physical Optics Corporation            Topic: SOCOM163006

    To address the USSOCOM need for a color night-vision sensor, Physical Optics Corporation (POC) proposes to develop a new Integrated Color Night-Vision Camera (ICONIC), based on novel integration of the color night-vision sensor with the compact long effective focal length (CLOFL) lens system in a rugged packaging. The innovation in the proposed color night-vision sensor with the innovative CLOFL o ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  9. Color Airborne Night Vision Sensor (CANVaS)

    SBC: ZIVA CORPORATION            Topic: SOCOM163006

    Ziva Corporation propose a powerful approach called Color Airborne Night Vision Sensor (CANVAS) to achieve true color imaging performance from avionic platforms in both night and day conditions from a single sensor system offer a significant boost in interpretability for military operations. The CANVAS approach combines an ultra-high sensitivity Commercial Off the shelf CMOS camera with a customi ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  10. Color Night Vision Sensor

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM163006

    The United States Special Operations Commands (USSOCOM) demands a color night vision system (CNVS) that combines low-light visual acuity with true-color imagery. A true-color night vision sensor would enable better exploitation of the human visual perceptive system allowing for more robust target detection, identification, and recognition. Current night vision systems offer only monochrome imagery ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
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