Lauretta AI, LLC, a start-up based in Arlington, Mass., has secured a Department of Homeland Security (DHS) phase one funding award of $199,950 to aid the development of self-screening Transportation Security Administration (TSA) checkpoints.
The initiative is supported through the DHS’s Science and Technology Directorate (S&T) Silicon Valley Innovation Program (SVIP). The company would adapt its video analytic solution to meet TSA needs.
“Airlines, real estate, construction, and retail sectors in both the U.S. and abroad are already successfully adapting this commercially available technology,” SVIP Managing Director Melissa Oh said. “We’re excited to explore this solution that will create a safer environment for the traveling public and TSA’s screening officers.”
The initiative began before the COVID-19 pandemic and acknowledged it has accelerated in response to pandemic-related protective measures designed to minimize exposure and physical contact between TSA transportation security officers and airline passengers.
Solutions are being sought to validate passengers are properly progressing through the screening process, abnormal behaviors are detected when passengers are navigating a self-screening portal, and social distancing measures are maintained.
“This project is pushing DHS S&T and TSA closer toward realizing our goal to enable passenger self-screening, reduce operator cognitive load and maintain TSA’s high screening standards – while providing an innovative and convenient experience for airline passengers,” John Fortune, DHS S&T Screening at Speed Program manager, said.