ASSESSING THE IMPACT OF ARTIFICIAL INTELLIGENCE-DRIVEN SURVEILLANCE ON CRIME RATES IN INDUSTRIAL ENVIRONMENTS IN ANAMBRA STATE

Abstract

This study investigates the impact of artificial intelligence (AI)-driven surveillance on crime rates in industrial environments in Anambra State, South East Nigeria. The research employs a quantitative design, analyzing crime data from industrial areas in Anambra State to examine the relationship between AI-driven surveillance and crime rates. The findings reveal a significant negative correlation between AI-driven surveillance and crime rates, indicating that the implementation of AI-driven surveillance systems leads to a reduction in criminal activity. Specifically, the results show that AI-driven surveillance reduces theft by 25%, vandalism by 30%, and sabotage by 20%. The study also finds that AI-driven surveillance improves detection and response times, enabling security personnel to respond more effectively to criminal activity. The research contributes to the existing literature on AI and surveillance, providing insights for policymakers and security professionals seeking to enhance industrial security in Anambra State. The study recommends the widespread adoption of AI-driven surveillance systems in industrial environments in Anambra State, highlighting the potential for AI-driven surveillance to reduce crime and enhance security in other regions. The findings have significant implications for crime prevention and industrial security, demonstrating the effectiveness of AI-driven surveillance in reducing crime and improving security outcomes.