Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Rapid Field Trace Detection of Perfluoroalkyl Substance in Water

    SBC: 2W ITECH LLC            Topic: 18NCER1B

    Due to increasing concerns over long-term effects of PFOS and PFAS on human body, health based values were set by regulatory authoritative bodies for drinking water standard. Currenty lab-based PFOA and PFOS water tests cost $200-$300 per sample with a turnaround time of 2-3 weeks. In this program, 2W iTech LLC proposes to develop a low-cost fieldable sensing technology for detecting trace amounts ...

    SBIR Phase I 2019 Environmental Protection Agency
  2. Aqueous Electrostatic Concentrator to Remove Per- and Poly-fluoroalkyl Substances from Water

    SBC: BioLargo, Inc.            Topic: 18NCER1C

    This proposal addresses the need for a pre-treatment technology to remove per- and poly- fluoroalkyl substances (PFAS) from industrial wastewaters. Phase I involves the design, build and testing of a novel technology to remove PFAS from water, termed the Aqueous Electrostatic Concentrator (AEC). This technology will be tested as an electrical bench-scale device that concentrates PFAS through selec ...

    SBIR Phase I 2019 Environmental Protection Agency
  3. Ultralow Power Sensor Package for Ground Level Air Pollution Levels from Wildland Fires

    SBC: KWJ Engineering Incorporated            Topic: 18NCER2A

    Wild fires produce significant air pollution, posing health risks to first responders, residents in nearby areas, and downwind communities. Wildfires are increasing in size and intensity, and the fire season is growing longer. Technologies for measuring air pollutants, including particulates, carbon monoxide, nitrogen dioxide, and carbon dioxide, over the wide range of levels expected in areas dow ...

    SBIR Phase I 2019 Environmental Protection Agency
  4. Black Carbon and UV Particulate Matter, Multi-gas, Multi-pollutant Sensor Platform

    SBC: MICROAETH CORPORATION            Topic: 18NCER2A

    As forest fires are increasing in prevalence and intensity there is a need for miniaturized, lower cost, and easily portable air sensors that provide information to first responders, public health managers and communities so informed, timely decisions can be made. PM2.5 is an accepted standard for particulate matter (PM) measurements, but PM2.5 mass measurements cannot identify sources without ana ...

    SBIR Phase I 2019 Environmental Protection Agency
  5. Remote Air Quality Reporting (RAQR) Device

    SBC: Intellisense Systems, Inc.            Topic: 18NCER2A

    The Environmental Protection Agency (EPA) is seeking a ground-level air-quality monitoring device to measure wildland fire pollutants including carbon monoxide, carbon dioxide, nitrogen dioxide, and particulates, in a small, easy-to-use unit capable of data storage and data viewing. As more frequent wildfires are expected to occur near populated areas, air-quality monitoring will be more persisten ...

    SBIR Phase I 2019 Environmental Protection Agency
  6. The NODE biosensor: real-time contaminant detection in stormwater

    SBC: Microbiome Engineering, LLC.            Topic: 18NCER4A

    Stormwater management is a growing challenge across the country. Water quality standards are becoming increasingly strict as new regulations are developed at the state level. Meanwhile, changing land use and greater urbanization make meeting these standards even more difficult. Currently, stormwater samples are collected in the field and analyzed in the lab, a process which is time-consuming, cost ...

    SBIR Phase I 2019 Environmental Protection Agency
  7. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. Variational Object Recognition and Grouping Network

    SBC: Intellisense Systems, Inc.            Topic: NGA181005

    To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  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
US Flag An Official Website of the United States Government