WASHINGTON – The Department of Homeland Security (DHS)
Science and Technology Directorate (S&T) awarded $199,536 Phase 1 funding
to Analytical AI of Birmingham, Alabama. Analytical AI received its award under
the Silicon Valley Innovation Program’s (SVIP’s) “Object Recognition and
Adaptive Algorithms in Passenger Property Screening” solicitation, which
focuses on using adaptive image interpretation and object recognition to
enhance the Transportation Security Administration’s (TSA’s) detection and
screening capabilities.
Analytical AI proposes to generate deep learning algorithms
to develop an object identification engine that can rapidly and accurately
detect common Stream of Commerce (SoC) items. The application of artificial
intelligence techniques has the potential to significantly improve screening
efficiency at security checkpoints by reducing the cognitive load on
Transportation Security Officers (TSOs). Machine Learning algorithms that can
rapidly and accurately label baggage and passenger items have the potential to
revolutionize airport screening by increasing throughput, reducing false
alarms, and improving detection.
“The airport screening process engages human experts in a
repetitive, visually learned task with inherent inefficiencies,” said Karl Harris,
S&T Object Recognition Program Manager. “With appropriate training, deep
learning techniques can match or exceed human expert accuracy and augment the
efficiency of the screening process.”
The proposed product will provide both stand-alone and cloud-based
interaction across a network of screening devices, which will rapidly implement
new algorithms across the network as they are organically updated with new
screening data and priorities.
“Our goal is to help TSA use artificial intelligence
techniques to differentiate stream-of-commerce items,” said SVIP Managing
Director Melissa Oh. “Analytical AI has proposed to develop robust,
network-ready screening tools that would meet current TSA requirements with the
flexibility to adapt to future TSA mission priorities.”
SVIP is one of the programs and tools available for S&T
to fund innovation and engage with private sector partners to advance homeland
security solutions. Companies participating in SVIP are eligible for up to
$800,000 of non-dilutive funding over four phases to develop and adapt
commercial technologies for homeland security use cases.
For more information on current and future SVIP
solicitations visit https://www.dhs.gov/science-and-technology/svip or contact
dhs-silicon-valley@hq.dhs.gov.
For more information about S&T’s innovation programs and
tools, visit https://www.dhs.gov/science-and-technology/business-opportunities.
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