From the thesis abstract: "Facial recognition technology (FRT) and license plate readers (LPRs) are comparable technologies that share similar benefits and challenges. Many of the challenges associated with LPRs have already been mitigated, resulting in citizen acceptance and expanded use. Recent advancements in FRT, such as its use in real time, create new opportunities to leverage the technology for increased public safety. To what extent are LPRs and FRT analogous, and how can the use of LPRs by the New York City Police Department (NYPD) provide a roadmap for public support of real-time FRT? This thesis examines benefits and challenges that may arise if the NYPD considers using real-time FRT in the New York City subway system. Through comparative analysis, this thesis determines that real-time FRT could help law enforcement deter terrorism, prevent violent crime, identify wanted individuals, find missing persons as well as assist in mental health situations and post-event investigations. Real-time FRT can help the NYPD meet its mission by reducing fear, increasing resiliency, and adding a layer of protection for citizens riding in the New York City subway system."
Naval Postgraduate School, Dudley Knox Library: https://calhoun.nps.edu/