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DHS Fellow incorporates human vision into computers to advance security surveillance

 (Aug. 26, 2006)

    The merging of man and machine has lead one DHS Student to create technological solutions to a multitude of homeland security challenges. Research by DHS Fellow Ogi Ogas (’03 Fellow) mimics human vision using computer algorithms in order to improve the detection of threats to national security, including security at our borders. 

    “By modeling human vision processes such as color vision and object recognition,” says Ogi, "we can develop new technologies which enhance our ability to detect environmental anomalies." 

    The result is a variety of systems that can be applied to homeland security. For example, using brain-based pattern and object recognition, satellites can accurately map terrain (shown above) like never before. By applying brain-based information fusion technologes, biothreat detection systems are better able to detect environmental anomalies in public places. 

    Additional applications provided by Ogi’s mating of human capabilities with advanced technology include data mining to identify anomalies or patterns in visa applications and Web searches.

    On a personal note, Ogi recently competed on an episode of the TV program, "Who Wants to Be a Millionaire?," tentatively scheduled to appear on November 7th. Ogi says that he proudly promoted his involvement in the Scholars and Fellows Program. Way to go, Ogi! 

    Ogi is a 2003 Fellow and expects to complete his PhD in Cognitive and Neural Systems at Boston University in 2007.