DHS S&T Awards Funds to Arlington, MA, Startup Developing Anomaly Detection Systems for Securing Soft Targets

The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) announced a Phase 1 Other Transaction award of $198,000 to Lauretta AI, a company based in Arlington, MA, to customize its commercial artificial intelligence solution and create an adaptable anomaly detection system to secure soft targets. The goal of this project is to offer a layer of safety for those locations that enable quick effective action in the event an unknown threat presents itself.

Under its Securing Soft Targets solicitation, S&T’s Silicon Valley Innovation Program (SVIP) sought solutions that automatically detect anomalous events via video camera feeds; reduce error to optimize human performance; and minimize delay to enhance responsiveness in threat situations that could serve a shared mission among schools, sports venues, transportation systems, shopping venues, places of worship and the general public.

“Ensuring the safety of soft target venues is a top priority,” said Melissa Oh, managing director of SVIP. “Innovative technologies that can be integrated to existing systems is critical to preserving and enhancing the security and privacy of public areas and people.”

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