DHS S&T SVIP announces $196,880 in Phase 1 funding to Deep North, a start-up based in Foster City, California, to apply video analytics to airport screening processes to help minimize exposure and contact between Transportation Security Officers (TSOs) and passengers.
An important part of the Department of Homeland Security’s (DHS) mission is to develop, implement, improve-upon, and ensure the effectiveness of cutting-edge screening equipment and protocols that help protect the traveling public.
Synthetik Applied Technologies was awarded funding to develop machine learning training data that simulates human travelers and baggage object models to support machine learning algorithms.
In this video, Acting Secretary Chad Wolf visits frontline Transportation Security Administration (TSA) employees, thanking them for risking their own health and safety to protect our airways throughout the coronavirus pandemic.
The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) awarded $199,536 Phase 1 funding to Analytical AI of Birmingham, Alabama.
While the overall risk to ordinary Americans remains low, there are communities where the virus is spreading. Additionally, for those over 50-years old and with existing medical conditions, it is advisable to limit travel and take protective measures.
DHS S&T awarded $160,902 to London-based startup CrowdVision Ltd. to develop an integrated proof-of-concept for an airport passenger counting and measuring system for U.S. Customs and Border Protection (CBP).
The Assistant for Randomized Monitoring Over Routes (ARMOR) tool prevents criminals and terrorists from predicting where and when security patrols will conduct their rounds or set up checkpoints. The Los Angeles Airport (LAX) police, Federal Air Marshal Service (FAMS) and U.S. Coast Guard (USCG) are all using versions of ARMOR.
The Video Analytic Surveillance Transition (VAST) project uses advanced video analytics to solve key technical challenges in detecting and tracking potential risks in vulnerable venues. This project is focusing on identifying counter-flow within a defined area (in-the-exit) and tagging and tracking a person-of-interest moving through a defined space across multiple cameras (tag-and-track). The system must identify an individual within a single camera’s view as well as reidentify that same individual in each sequential camera’s view.
S&T is working on a millimeter wave technology for screening shoes as part of the larger Screening at Speed Program to improve detection of current and emerging threats to aviation and to improve the passenger experience in the airport.