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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. CVD Diamond Neutron Detectors with Pulse Shape Discrimination

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: N/A

    Proliferation of nuclear weapons is a serious threat in the world today. One way to determine the presence of nuclear weapons is to detect neutrons emitted by special nuclear material(SNM) such as highly enriched uranium and weapons grade plutonium. The purpose of this project is to develop improved solid state neutron detectors from CVD diamond for homeland security applications. Phase I work wil ...

    SBIR Phase I 2008 Department of Homeland Security
  2. Improved Solid-State Neutron Detector

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: HSB071009

    The use and applications of radiological sources, for power, medical, and defense applications, continuously increases with time. Illicit nuclear materials represent a threat for the safety of the American citizens and the detection and interdiction of a nuclear weapon is a national problem that has not been yet solved. This represents an enormous challenge to current detection methods and monitor ...

    SBIR Phase II 2008 Department of Homeland Security
  3. Miniature MEMS-based Chemical & Explosives Detector

    SBC: BOSTON MICROSYSTEMS INC            Topic: N/A

    Boston MicroSystems (BMS) proposes to develop a cell-phone sized instrument for detecting hazardous chemical and explosive threats. The instrument is based on BMS' PicoSensor® chemical and explosives detection platform, which has been developed in part under DHS support and is capable of sensing explosives and toxic chemicals at ppb and even ppt (trillion) levels. The Picoensor® consists of a ME ...

    SBIR Phase I 2008 Department of Homeland Security
  4. Non-Contact Trace Explosives Sampling and Preconcentration for Vehicle Borne Improvised Explosive Device Detection

    SBC: EXCELLIMS CORPORATION            Topic: N/A

    Ion mobility spectrometer based explosives trace detectors (ETD) have been widely used in airport check points, ports of entry, government buildings, and other high security facilities. Most of these systems require manual collection of trace particles from vehicles via direct swabbing of surface areas of interest. Sample collection efficiency and inconsistency pose significant challenges to the e ...

    SBIR Phase I 2008 Department of Homeland Security
  5. WORKLOAD ASSESSMENT TECHNOLOGIES FOR THE OPTIMIZATION OF DATA LINK CONTROLLER

    SBC: NTI, Inc.            Topic: N/A

    THE MODE S DATA LINK UNDER DEVELOPMENT BY THE FAA IS AN ESSENTIAL UPGRADE TO THE EXISTING AIR TRAFFIC CONTROL (ATC) SYSTEM. IN ORDER TO INSURE THE IMPROVEMENTS IN SAFETY AND EFFICIENCY OF ATC SERVICES MEDIATED BY THIS DATA LINK, IT WILL BE NECESSARY TO ASSESS ITS EFFECTS ON THE WORKLOAD AND PERFORMANCE CAPABILITIES OF AIR TRAFFIC CONTROLLERS. CONSEQUENTLY, IN PHASE I, NTI INCORPORATED WILL DEVELOP ...

    SBIR Phase II 1988 Department of Transportation
  6. Smart Sensing and Tracking with Video and Mote Sensor Collaboration

    SBC: INTUVISION            Topic: N/A

    Automatic extraction of actionable intelligence from collaborative sensors in a framework that supports seamless exchange of extracted information across sensor layers while leveraging the human in the loop is the focus our proposal. Depending upon the specific end-user, data extracted from the battlefield areas represent two major categories: information requiring and subject to further analyses, ...

    SBIR Phase I 2008 Department of Homeland Security
  7. A New Multi-Sensor Hybrid System for Motorcycle Detection and Classification

    SBC: Migma Systems Inc.            Topic: N/A

    Detection, classification, and characterization are the key to enhancing motorcycle safety, operations and travel estimation. Motorcycle fatalities are currently estimated at 30 times those of auto fatalities per Vehicle Mile Traveled (VMT). Although it has been an active research area for many years, motorcycle detection and classification still remains as a challenging task. The goal of Phase I ...

    SBIR Phase I 2008 Department of Transportation
  8. Spray on Treatments for Critical Infrastructure Protection

    SBC: RESODYN CORPORATION            Topic: N/A

    Resodyn Corporation has proposed an engineered materials approach for preventing or mitigating the damage caused by blast, projectiles, and fire. The proposed Sprayon Treatments for Engineered Protection (STEP) system allows flexibility in both the design of the coating and the application. Sprayable material systems are proposed that have demonstrated blast, projectile and fire protection potenti ...

    SBIR Phase I 2008 Department of Homeland Security
  9. Combined Solid-State Neutron Gamma High Efficiency Detector

    SBC: NOVA SCIENTIFIC INCORPORATED            Topic: N/A

    NOVA Scientific proposes Phase II development of a solid-state, high-efficiency neutron detection alternative to 3He gas tubes employing neutron-sensitive microchannel plates (MCPs) containing 10B and/or Gd. This program supports the DNDO development of technologies designed to detect and interdict nuclear weapons or illicit nuclear materials. This solid-state neutron detector would permit operati ...

    SBIR Phase II 2008 Department of Homeland Security
  10. NETWORK OF LEARNING SYSTEMS FOR AIR TRAFFIC PLANNING AND CONTROL A PILOT STUDY WILL INVESTIGATE HOW TO PLAN, SCHEDULE & CON-

    SBC: Patrick Consult Inc            Topic: N/A

    CONTROL AIR TRAFFIC UTILIZING A NETWORK OF EXPERT LEARNING SUBSYSTEMS. THE SYSTEM, WITH SIMULATIONS, WILL DEMONSTRATE PROBLEM SOLUTIONS AND PROVIDE DIRECTION FOR FUTURE RESEARCH EVALUATION, IMPLEMENTATIONS, AND COST. THE R & D IS GUIDED BY DR. ED PATRICK'S 28 YEARS OF PIONEER-ING WORK IN PATTERN RECOGNITION, ARTIFICIAL INTELLIGENCE, ANPRODUCT R & D OF LEARNING SYSTEMS MORE GENERAL THAN CONVEN- TIO ...

    SBIR Phase I 1988 Department of Transportation
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