University of Tennessee at Chattanooga
Place of Publication
Facial recognition technology is a system of automatic acknowledgement that recognizes individuals by categorizing specific features of their facial structure to link the scanned information to stored data. Within the past few decades facial recognition technology has been implemented on a large scale to increase the security measures needed to access personal information. This has been specifically used in surveillance systems, social media platforms, and mobile device access control. The extensive use of facial recognition systems has created challenges as it relates to biometric information control and privacy concerns. This concern raises the cost and benefit analysis of an individual’s security versus his/her privacy. Due to the contactless ability of facial recognition identification, the global market of this technology is expected to increase considerably over the next decade. This expansion implies the requirements of additional legal regulations in regard to the use of facial recognition technology. Data privacy laws have been passed in over 80 countries around the world and several states within the United States have created laws that apply to this form of technology. However increased action should be taken on a national level to enact stricter regulations in regard to biometric data collection and use.
B. S.; An honors thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Bachelor of Science.
Big data; Human face recognition (Computer science); Privacy, Right of
Other Computer Engineering | Privacy Law
Westbrook, Myranda, "Global privacy concerns of facial recognition big data" (2020). Honors Theses.