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  1. Science and Technology
  2. Work with S&T
  3. Innovation Funding Programs
  4. Silicon Valley Innovation Program
  5. Portfolio
  6. Emerging Need: COVID-19 Response and Future Mitigation

Emerging Need: COVID-19 Response and Future Mitigation

  • Deep North (Foster City, California): Deep North intends to leverage their existing software to analyze video feeds, extract metrics of interest and translate them into actionable insights about human behavior and related objects through a user-friendly dashboard and interface. These video solutions will validate passengers are properly progressing through the TSA screening process, passengers needing assistance navigating the self-screening portal are quickly identified, and social distancing measures are maintained. (Initial Award March 2021)—Currently in Phase 3
  • EnSenSys (Alamo, Tennessee): The proposed project solution entails a COVID Finder Point-of-Passage portal designed to capture and identify real-time images of viruses in exhaled breath using artificial intelligence and disinfect the booth between occupants with ultraviolet light. (Initial Award April 2021)—Currently in Phase 4
  • Lauretta AI (Arlington, Massachusetts): Lauretta AI intends to adapt their commercially deployed tracking and behavior recognition system, which uses artificial intelligence (AI) technology, to anonymously monitor passengers, their personal items, and carry-on luggage throughout TSA’s airport security screening process. The solution uses existing closed-circuit television cameras at airport screening stations to deter passengers from attempting to circumvent or evade airport security screening protocols and to identify passengers who may need assistance. (Initial Award February 2021)—Currently in Phase 3
  • mesur IO (Chapel Hill, North Carolina): The project proposes to adapt their Earthstream Platform to provide the National Biosurveillance Integration Center within the DHS Countering Weapons of Mass Destruction Office with data that tracks metrics related to an outbreak or emergence to predict various risks of a biological threat. The solution will automatically identify, extract and link geospatial data with relevant data, such as demographics and travel, for easy analysis and improved reporting. (Initial Award April 2021)—Currently in Phase 4

To learn more about S&T overall response efforts to COVID-19 across the S&T, please visit S&T Support to the COVID-19 Response.


Last Updated: 06/11/2024
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