AI- DRIVEN SURVEILLANCE SYSTEMS FOR PUBLIC SAFETY

Abstract

Artificial intelligence (AI) is reshaping public safety through advanced surveillance technologies. AI-driven surveillance systems use machine learning, computer vision, and real-time data processing to enhance monitoring and threat detection capabilities. These systems offer improvements over traditional methods by providing more accurate, immediate insights, detecting anomalies and predicting potential threats with great precision. This paper explores the evolution, implementation, and impacts of AI-based surveillance systems on public safety, and focuses on their advantages, challenges, and ethical considerations. Through case studies and technological analysis, the study aims to offer a comprehensive view of AI's influence on public safety and its broader implications for privacy and civil liberties.