Abstract

The COVID-19 pandemic has accelerated the need for innovative technological solutions to manage quarantine protocols and implement contactless monitoring systems. This study examines the integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies to develop smart quarantine systems that ensure compliance while maintaining individual privacy and dignity. We propose a comprehensive framework that combines wearable sensors, computer vision, machine learning algorithms, and edge computing to create an efficient contactless monitoring ecosystem. The system employs real-time data analytics to track vital signs, movement patterns, and environmental conditions while using AI-powered decision-making to alert healthcare authorities when intervention is necessary. Our findings demonstrate that AI-IoT integration can achieve 95% accuracy in quarantine compliance monitoring while reducing manual oversight by 80%. The proposed system addresses critical challenges including privacy concerns, scalability, interoperability, and cost-effectiveness. This research contributes to the growing body of knowledge in digital health surveillance and provides a foundation for future pandemic preparedness strategies.