DHS S&T awards funds to Overland Park start-up developing detection algorithms to secure soft targets
The Department of Homeland Security (DHS) Science and Technology Branch (S&T) announced the award of another $199,833 Phase 1 deal to Flux Tensor, a company based in Overland Park, KS, to apply algorithms that help identify motion in complex videos. Specifically, the award recognizes flexible object detection algorithms (based on persistent stream analysis (pFlux)) to identify movements of interest from complex security video streams. The goal of this project is to provide a layer of security for locations that allows quick and effective action in the event of an unknown threat.
As part of its Securing Soft Targets solicitation, S&T Silicon Valley Innovation Program (SVIP) researched solutions that automatically detect abnormal events via video camera feeds; reduce errors to optimize human performance; and minimize delays to improve 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.
“Motion monitoring in soft targets is difficult in large areas where changes in light and weather can impact video quality,” said Melissa Oh, SVIP’s Managing Director. “Technologies that improve real-time monitoring in situations where visibility is poor due to environmental constraints will improve responders’ ability to maintain security in and around target sites.”
Flux Tensor technology provides a flexible object detection approach to determining “persistent change” while accounting for changing weather, varying light, or poor near real-time video quality. Once developed, the software will integrate with current security workflows to detect moving objects.
“Public transit, on average, carries nearly 10 times more passengers per day than the busiest airports in the country. With limited checkpoints for screening passengers and their belongings, our program seeks innovative technologies to improve physical security and situational awareness at venues,” said Ali Fadel, DHS S&T Soft Program Manager. Targets Security Program. “Using advanced algorithms to identify and alert security personnel to abandoned objects, in near real time, will allow them to react quickly to dangerous events and eliminate harmless abandoned objects. The intention is to integrate security solutions into a larger layered architecture to better protect commuters, passengers and families using mass transit systems or attending a mass gathering, all without affecting speed. of the traveling public.
DHS is committed to using advanced technology and scientific talent in its quest to make America safer. Soft targets are easily accessible to large numbers of people and have limited security or protection measures, making them vulnerable to attack.