Combining Facial Recognition, Automatic License Plate Readers and Closed Circuit Television to Create an Interstate Identification System for Wanted Subjects
Abstract
Advancing technology in the field of facial recognition systems (FRS), closed-circuit television (CCTV) and automatic license plate readers (ALPRs) could make it possible to create a system capable of identifying suspected terrorists, current terrorist watch list suspects, other wanted criminals, and missing persons. This research examines the convergence of these technologies to design an efficient system and improve the speed and accuracy of potential suspect identification. To do so, the thesis examines all systems basic capabilities, privacy issues or concerns, best practices, possible areas for improvement, and policy considerations. Since the tragedies of September 11, 2001, a large volume of literature related to FRS, ALPR, and CCTV systems has been created. The intent of this thesis is to serve as catalyst for a new security system designed to locate, identify, and apprehend known terrorist watch list suspects and other wanted persons who are traversing the interstate systems in the United States. The goal is to provide another layer of protection and create a deterrent to both criminal and terrorist activity, providing a safer environment for all U.S. citizens. Furthermore, this capability can help locate Amber Alert and Silver Alert subjects.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2015
- Accession Number
- AD1009302
Entities
People
- Michael J. Thomas
Organizations
- Naval Postgraduate School