International Journal on Science and Technology

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AI-Powered Surveillance Systems for Public Health Safety during Global Pandemics

Author(s) Ravikanth Konda
Country Australia
Abstract The advent of global pandemics, particularly the COVID-19 pandemic, has highlighted the imperative need to utilize technological innovations for monitoring public health and responding to emergencies. Of these innovations, artificial intelligence (AI)-driven surveillance systems have been pivotal in identifying, tracing, and curbing the transmission of infectious diseases. Through the use of machine learning, computer vision, and data analytics, these systems have facilitated real-time public space monitoring, contactless temperature scanning, social distancing enforcement automation, and contact tracing. This paper discusses the contribution of AI-powered video surveillance technologies to improving public health safety during pandemics. It assesses current systems, analyzes the efficiency of various AI models in public health contexts, and deals with ethical and privacy issues related to mass surveillance. Through a comprehensive literature review, methodological framework, and outcomes analysis of several case studies and datasets, this work adds insight into the revolutionary effect of intelligent surveillance on worldwide pandemic management. The paper concludes by suggesting future research directions and policy recommendations for constructing resilient, health-focused AI surveillance infrastructures in urban settings.
Field Engineering
Published In Volume 12, Issue 1, January-March 2021
Published On 2021-01-07
DOI https://doi.org/10.71097/IJSAT.v12.i1.4684
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