From the thesis abstract: "Identifying a known criminal or terrorist, and providing protection for soft targets, is not only the concern of New York City, but of law enforcement agencies and municipalities throughout the country. The research reveals several challenges that may arise in utilizing facial recognition and behavioral recognition technology in closed circuit television systems. In recognizing these challenges, the writer looks to mitigate the vulnerability and prevent crime. The research indicates that the projects' success increased when the environment was controlled. Data sources reviewed show that camera angles or lighting are two factors that can impact the environment control. The thesis also looked at the accuracy of the system and legality of any privacy concerns, as well political, public and media influence may have on an emerging technology system. Biometric emerging technology surveillance is an industry that is rapidly growing in both the public and private sector. However, It lacks the monitoring of one central authority to insure civil liberties are safeguarded. The research expanded on a Closed Circuit Television (CCTV) system that is currently in place and devises a system that will be the foundation for the future of law enforcement by integrating biometric technology into a security surveillance system."
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