Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.

  1. Synthetic Training Data for Explosive Detection Machine Learning Algorithms

    SBC: Synthetik Applied Technologies LLC            Topic: HSB0191005

    Deep learning offers a powerful and extensible toolset to achieve or exceed human-level accuracy for automatic object detection in stream of commerce data. However, in order to train deep machine learning-models for 2D and 3D screening a significant quantity of high-quality ground-truth training data is required.We propose SoCPhysics: A Stream-of-Commerce Physics-Based Data Generation Application, ...

    SBIR Phase I 2019 Department of Homeland Security
  2. 9-1-1 Network Modeling Based Upon PARIDINE NIDE Model

    SBC: SECURELOGIX CORPORATION            Topic: HSB0191007

    SecureLogix is a current performer on the PARIDINE project and is focused on defining and detecting NIDEs such as Telephony Denial of Service (TDoS) and other call pattern-based attacks against 9-1-1 networks. Our approach is to enhance our cloud-based Call Authentication Service (CAS), extending its inherent authentication and spoofing detection capabilities, with the ability to use machine learn ...

    SBIR Phase I 2019 Department of Homeland Security
  3. Blockchain Forensic Analytics

    SBC: Integra FEC LLC            Topic: HSB0191008

    As blockchain technologies continue to evolve and emerge, DHS and numerous other Federal agencies have an increasing need to trace new cryptocurrencies and cryptotokens to support investigations and enforcement actions. Some new cryptocurrencies, such as Zcash and Monero, are designed to provide anonymity to users and thus pose challenges to enforcement agencies looking to track and curtail illici ...

    SBIR Phase I 2019 Department of Homeland Security
  4. Networked Aerial Vehicle for Automated Radiation Clearing (NAVARC)

    SBC: Physical Sciences Inc.            Topic: HSB0191010

    Physical Sciences Inc. (PSI) proposes to develop the Networked Aerial Vehicle for Automated Radiation Clearing (NAVARC) to perform an autonomous search for radiological threats in a complex 3-D environment. The PSI-developed InstantEye unmanned aerial vehicle (UAV) will navigate using a series of optimized waypoints to minimize the time required to fully search an area and inspect objects. Detecti ...

    SBIR Phase I 2019 Department of Homeland Security
  5. Monitoring and Inspecting Dirty Nukes Including Generating Heatmaps of Terrain (MIDNIGHT)

    SBC: Charles River Analytics, Inc.            Topic: HSB0191010

    A successful weapon of mass destruction (WMD) terrorist attack against the United States would have a profound and potentially catastrophic impact on our nation. It is imperative to be able to quickly, efficiently, and effectively localize radiological threats in a wide array of unstructured environments to detect and deter such an event. In recent years, man-portable radiation detectors have beco ...

    SBIR Phase I 2019 Department of Homeland Security
  6. Rapid Tox-Based Wearable Sensing Badge for Solid Aerosol and Contact Exposure to Fentanils

    SBC: Nano Terra, Inc.            Topic: HSB0181001

    Clear Scientific, a wholly-owned subsidiary of Nano Terra, proposes to develop a low-cost and wearable detector badge that quickly alerts the user in real time to the presence of solid or aerosolized fentanils with an audible and visual alert. Current commercial opioid detectors are bulky, costly, and cannot be used passively in real time. Clear Scientific will leverage their expertise in ultra-se ...

    SBIR Phase II 2019 Department of Homeland Security
  7. Tracking Nuclear Threats in Security Camera Networks (TNT-SCAN)

    SBC: Charles River Analytics, Inc.            Topic: HSB0181010

    Implementing continuous nuclear and radiological monitoring systems that support automatic detection and tracking of potential nuclear threats is traditionally associated with a high operational burden. Sensors are typically monitored by dedicated personnel, who must investigate detection events in a timely manner. High nuisance alarm rates can rapidly overwhelm already taxed law enforcement perso ...

    SBIR Phase II 2019 Department of Homeland Security
  8. Decentralized, Public, and Mobile-Based Sidewalk Inventory Tool

    SBC: KNOWLEDGE BASED SYSTEMS, INC.            Topic: 142FH1

    Knowledge Based Systems, Inc. (KBSI) is pleased to propose the further design and development of MySidewalk mobile application facilitating the crowd-sourced collection of sidewalk inventory and condition data. The MySidewalk application utilizes advances in social networks and data mining to provide integrated sidewalk datasets. Phase I and II research was facilitated by inputs from City of Colle ...

    SBIR Phase II 2019 Department of Transportation
  9. Long Life, Low Cost Mini-Roundabouts from Simple Modular Shapes and Recycled

    SBC: ZKxKZ, LLC            Topic: 142FH3

    In Phase II, ZKxKZ designed, developed and demonstrated an approach for fabrication and rapid installation of low cost modular mini-roundabouts made from recycled plastic boards. Phase II culminated in the installation of one full modular mini-roundabout in both Georgia and Virginia. In addition, 3 modular mini-roundabouts were commercially sold and installed in Canada prior to the SBIR funded sit ...

    SBIR Phase II 2019 Department of Transportation
  10. Real-Time Passive Authentication for Contact Centers

    SBC: Illuma Labs Inc.            Topic: HSB0171003

    Vulnerabilities in telecommunications channels are being exploited at alarming rates by malicious attackers to commit fraud, perpetrate scams, and organize data breaches. In addition to financial losses incurred by corporations and taxpayers, attacks against government agencies such as the DHS can severely compromise national security. A common element of these attacks is the attacker's ability to ...

    SBIR Phase II 2019 Department of Homeland Security
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