Arlington Company Receives $198K From Department Of Homeland Security

ARLINGTON, MA — The Arlington-based company Lauretta AI has received a $198,000 Phase 1 Other Transaction award from the Department of Homeland Security (DHS) Science and Technology Directorate (S&T) 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, DHS said.

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,” Melissa Oh, managing director of SVIP, said in a statement. “Innovative technologies that can be integrated to existing systems is critical to preserving and enhancing the security and privacy of public areas and people.”

Lauretta AI has proposed to adapt its existing technology to leverage activity recognition and tracking. The refinement to the AI solution will capture multiple data points per subject to minimize false alerts and address the diverse requirements and situational and physical limitations of soft target locations.

“Mass transit, on average, carries nearly 10 times as many passengers per day as the nation’s busiest airports. With limited checkpoints for screening passengers and their belongings, our program is pursuing innovative technologies to enhance physical security and situational awareness at venues,” Ali Fadel, program manager, DHS S&T Soft Targets Security Program, said in a statement. “Utilizing advanced algorithms to identify and alert security personnel to left behind items—in near real-time—will allow them to quickly respond to dangerous events and clear harmless left-behind items. The intent is to integrate security solutions within a broader layered architecture to better protect commuters, riders, and families using public transportation systems or attending a mass gathering—all without impacting the speed of the traveling public.”

For more information on Lauretta AI, click here.