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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. Attention Guided Pattern and Geospatial Analysis System

    SBC: Fetch Technologies            Topic: N/A

    With the large amount of geospatially-referenced material available, an important problem for NIMA is how to organize and present that information to their customers. We propose to address this problem by building a geospatial catalog system that will notjust tell you which products are available, but also allow the user to see the actual products and the relationship to other products. This wil ...

    SBIR Phase I 2001 Department of DefenseNational Geospatial-Intelligence Agency
  2. Automated and Scalable Analysis of Mobile and IoT Device Firmware

    SBC: RAM LABORATORIES            Topic: HSB0181008

    As Internet of Things (IoT) and mobile devices become increasingly popular and widely used, the security of the firmware running on these devices is paramount.However, due to the lack of an efficient and scalable analysis framework, combined with the increasing pressure to get products to market as quickly as possible, the software running on these devices is never properly checked for security vu ...

    SBIR Phase I 2018 Department of Homeland Security
  3. Automated Assessment of Urban Environment Degradation for Disaster Relief andReconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Automated Camera Orientation Recovery Software

    SBC: Physical Optics Corporation            Topic: NGA201006

    To address the NGA’s need to fully automate recovery of camera orientation parameters from ground-level imagery, Physical Optics Corporation (POC) proposes to develop new Automated Camera Orientation Recovery Software (ACORS). It is based on a new, multicue combination of algorithms for finding true horizon lines in images. Specifically, the innovation in locating occluded true horizon lines bel ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  5. Automated Flash Memory Analysis

    SBC: CYBERNET SYSTEMS CORPORATION            Topic: HSB0112003

    Electronic devices used in criminal activity provide excellent evidence when examined, which is getting increasingly difficult as devices shrink and tools fall behind in capability. Law enforcement face an uphill battle to stay ahead of the latest technology changes since devices evolve so quickly. Central to all of these devices is the role of flash memory, which is the long-term storage availabl ...

    SBIR Phase I 2011 Department of Homeland Security
  6. Automatic Visual Inspection and Counterfeit Detection System

    SBC: INTELLISENSE SYSTEMS INC            Topic: DHS221003

    To address the DHS need for a handheld device for rapid, real-time, non-destructive detection of counterfeit microelectronics devices and systems, Intellisense Systems, Inc. (Intellisense) proposes to develop an Automatic Visual Inspection and Counterfeit Detection (AVID) system by applying dual-band (visible/infrared) nondestructive imaging and novel deep/machine learning-based image analytics. T ...

    SBIR Phase I 2022 Department of Homeland Security
  7. A vehicle mounted radar footprint trail detection system

    SBC: AKELA INC            Topic: HSB0141001

    Often illegal border crossing along the southern border takes place in unimproved areas not constantly monitored by Border Patrol agents or deployed sensors. Agents must rely on sign-cutting to detect traffic and start their pursuit. These signs can be difficult or impossible to detect from a moving platform with the unaided eye due to inclement weather, insufficient illumination and agent fatigue ...

    SBIR Phase I 2014 Department of Homeland Security
  8. A Versatile Wearable Chemical Sensor using Ultrasound gas sensing technology (CMUTs)

    SBC: Aromatix, Inc.            Topic: HSB0171006

    We will develop a compact solid-state gas sensor using a novel ultrasound technology called CMUTs, invented by renowned Stanford Professor B. Khuri-Yakub two decades earlier. Although its application in gas sensors was known for some time, its challenges have so far prevented its commercialization. Aromatix Technologies has identified solution to each of these challenges, which are the subjects of ...

    SBIR Phase I 2017 Department of Homeland Security
  9. A Wearable Toxic Chemical Sensor Badge

    SBC: Design West Technologies, Inc.            Topic: HSB0171006

    Due to the high probability of exploiting common toxic industrial chemicals (TICs) as a weapon there is an increasing demand for rapid chemical detection technologies. A sensor that alerts the user of the presence of TICs independent of human interpretation is highly desirable. Furthermore, the sensor should be configurable as either a wearable badge or button so that it can be integrated as part ...

    SBIR Phase I 2017 Department of Homeland Security
  10. Bayesian Urban Degradation Assessment

    SBC: INTELLISENSE SYSTEMS INC            Topic: NGA181004

    To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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