Honors: All College Participants
Artificial Intelligence for Detecting and Tracking Terror Suspects
Academic Level at Time of Presentation
Senior
Major
CSC
Minor
CSC Area
List all Project Mentors & Advisor(s)
Stanley Jointer II, PhD; Jeffrey Osborne, PhD.
Presentation Format
Oral Presentation
Abstract/Description
This thesis shows the details of an artificial intelligence that can be used to track terror suspects in a city. The design relies on spectrometers that can detect the chemical makeup of compounds within its detection range. The artificial intelligence shows which locations throughout the city are likely to be targeted by a suspect, and the user interface shows the danger level of each location near the suspect. The goal of this thesis is to show that this design would make it much more difficult to carry dangerous compounds throughout a city unnoticed. The cities in which this design is implemented would be less likely to be the target of street level terrorist attacks.
Location
Classroom 211, Waterfield Library
Start Date
November 2016
End Date
November 2016
Affiliations
Honors Thesis
Artificial Intelligence for Detecting and Tracking Terror Suspects
Classroom 211, Waterfield Library
This thesis shows the details of an artificial intelligence that can be used to track terror suspects in a city. The design relies on spectrometers that can detect the chemical makeup of compounds within its detection range. The artificial intelligence shows which locations throughout the city are likely to be targeted by a suspect, and the user interface shows the danger level of each location near the suspect. The goal of this thesis is to show that this design would make it much more difficult to carry dangerous compounds throughout a city unnoticed. The cities in which this design is implemented would be less likely to be the target of street level terrorist attacks.