Body-worn Camera Efficacy and Utilizing Deep Learning for Object Detection

• In Event: Policing Drug Crimes and the Influence of Body Worn Cameras: Impacts and Implications

Abstract

Topics of both distortions at the time of recording as well as the security of evidence after collection warrant special attention. The purpose of this study is to examine existing Body Worn Camera technology and associated IT infrastructure to assess video/image quality. A more granular review of existing BWC products and related data storage technologies may increase community trust and spur innovation in the analysis and development of BWC technologies. The purpose of this research is to offer a comprehensive review of existing techniques and frameworks for attack detection and mitigation, this paper serves as an excellent starting point for researchers in the field of artificial intelligence and deep machine learning.

Authors

• Carla D. Coates, North Carolina A&T State University

• Amira Kaili Poindexter, North Carolina A&T State University

• Christian Charisse Shelton, North Carolina A&T State University

• Miniya Nikole Hedgeman, North Carolina A&T State University

• Kyah Starks, North Carolina A&T State University

• Dalaysia Hammond, North Carolina A&T State University

• Caitlyn Lewis, North Carolina A&T State University

• Jeremiah Opata, North Carolina A&T State University