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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Less-Lethal Eye Safe Handheld LED-Based Incapacitator for Law Enforcement

    SBC: Intelligent Optical Systems, Inc.            Topic: HSB051005

    Intelligent Optical Systems (IOS) has developed and demonstrated a prototype dazzler that utilizes an array of super-bright Light Emitting Diode (LED) clusters to produce disorientation and strong flashblindness with afterimages. In this project, IOS proposes to develop a significantly improved device that can operate at distances up to 50 feet at the maximum permissible eye-safe level. Two new in ...

    SBIR Phase II 2006 Department of Homeland Security
  2. Microwave Vehicle Stopping

    SBC: Cybernet Systems Corporation            Topic: HSB052002

    Cybernet Systems is developing a novel, nonlethal method for disabling an uncooperative vehicle called the MVS, or Microwave Vehicle Stopper. Our system transmits modulated microwave energy to the target vehicle that is tailored to disrupt the computation functions of the vehicle engine controller, safely slowing and stopping the vehicle. Inducing a car to stall without permanent damage generally ...

    SBIR Phase II 2007 Department of Homeland Security
  3. OpenWatch: An Architecture for Scalable Resiliency Assessment

    SBC: INFERLINK CORPORATION            Topic: HSB0161007

    In this project, we propose to develop software that employs open source information to assess factors related to resilience. The goal is challenging because current technology does not scale well due to the heterogeneity of the problem. Specifically, the heterogeneity of the data, as well as the heterogeneity of the assessment process makes it time-consuming to develop extractors for harvesting r ...

    SBIR Phase II 2017 Department of Homeland Security
  4. Rad/Nuc Smart-device User Interface with Integrated Training Elements (RN-SUITE)

    SBC: Spectral Labs Incorporated            Topic: HSB0161011

    In this SBIR topic, DNDO has identified the necessity for an optimized PRND UI which can run on a smartphone/device and can either communicate with actual detector hardware or receive simulated input from a software component based on the user's position relative to virtual source(s). This Spectral Labs Incorporated (SLI) proposal, 'RAD/NUC Smart-device User Interface & Training Environment' (RN-S ...

    SBIR Phase II 2017 Department of Homeland Security
  5. Realtime Detection And Identification Of Airborne Microorganisms Using Infrared Spectroscopy

    SBC: Orono Spectral Solutions Inc.            Topic: CBD06102

    The goal of this Phase II project is to develop an automated detector system for real-time detection of aerosolized biowarfare agents. Our proposed detection system utilizes Fourier Transform Infrared (FTIR) spectroscopy as the agent identifier, where the main advantages of this approach are that it is reagentless, operates in complex air environments, and provides fast detection, high sensitivit ...

    SBIR Phase II 2007 Department of DefenseOffice for Chemical and Biological Defense
  6. Real-time Flood Forecasting and Reporting

    SBC: Physical Optics Corporation            Topic: HSB0161005

    To address the DHS need to rapidly predict, detect, and react to ever-changing flood conditions, Physical Optics Corporation (POC) proposes to develop a new Real-time Flood Forecasting and Reporting (RAFFAR) system based on a combination of commercial off-the-shelf (COTS) wireless networking technologies and existing proprietary POC sensors. The system will offer a means to deploy a scalable mesh ...

    SBIR Phase II 2017 Department of Homeland Security
  7. Real-time Information Contextual Correlation and Analysis Software System

    SBC: Physical Optics Corporation            Topic: HSB0161008

    To address the DHS need for a new data analytics engine to correlate social media comments and activity with incident command data, Physical Optics Corporation (POC) proposes, in Phase II, to advance a new Real-time Information Contextual Correlation and Analysis (RICCA) software system proven feasible in Phase I. RICCA is based on unstructured data analysis and integration and event context model ...

    SBIR Phase II 2017 Department of Homeland Security
  8. Secure Carton Integrated Electronic Remote System

    SBC: Physical Optics Corporation            Topic: HSB051006

    The Department of Homeland Security is seeking innovative approaches and key technologies for securing inter-modal cargo, and for integrity monitoring with tracking capability at the level below that of the ISO container. This technology is to include a secure tamper-evident skin and active RFID with a secure information system, and the capability of arming and monitoring the system, with local co ...

    SBIR Phase II 2006 Department of Homeland Security
  9. Signal Processing for Layered Sensing

    SBC: Vadum, Inc.            Topic: CBD152006

    Vadum will develop Chemical, Heterogeneous sensor fusion Incident awareness Module (CHIME)asoftware module that will ingest data from a large number of asynchronous, heterogeneous and multi-tiered sensors to automate the process of estimating the source attributes of a chemical or biological release. CHIME generates estimates from a continuous stream of raw sensor data with successive estimates al ...

    SBIR Phase II 2017 Department of DefenseOffice for Chemical and Biological Defense
  10. Signal Processing for Layered Sensing

    SBC: TOYON RESEARCH CORPORATION            Topic: CBD152006

    As a foundational component of a Layered Sensing architecture, Toyon proposes to develop a Multi-Modal Fusion Module (M2FM) capable ofconfirming detections from Chemical, Biological, and Radiological (CBR) sensing networks by fusing together information from other (non-CBR)sensors. In addition to confirming an initial CBR detection, M2FM will aid in characterizing the threat scenario by estimating ...

    SBIR Phase II 2017 Department of DefenseOffice for Chemical and Biological Defense
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