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In the face of the COVID-19 pandemic, the Transportation Security Administration (TSA) is putting social distancing and other safety measures into place at airport TSA checkpoints. The startup Deep North will apply video analytics to airport screening processes to help minimize exposure and contact between Transportation Security Administration (TSA) officers and passengers.
The development is supported by the Department of Homeland Security (DHS) in order to increase security effectiveness while dramatically reducing wait times and improving passenger experience.
In Phase I of this project, the company will deliver a video analytics platform for integration into self-screening portals that will provide a next-generation screening experience, improve security, alleviate burden on TSOs, and reduce contact between travelers. The technology will also improve the quality of screening from a security perspective.
The technology detects patterns and anomalies in full-motion video (FMV) footage using artificial intelligence (AI)-based video analytics that provides real-time feedback. These video solutions will validate that passengers are properly progressing through the screening process, passengers needing assistance navigating the self-screening portal are quickly identified, and social distancing measures are maintained.
The system will not use biometric data, such as facial recognition. Instead, it will place a unique identifier on passengers as they move through the airport security screening that expires immediately after they leave the checkpoint. The project proposes to also integrate with automated baggage and body scanning software to create a robust self-service screening solution, according to dhs.gov.