Development of a Smart Healthcare Surveillance System Using Wireless Communication and Real-Time Image Processing

This paper describes the development of a Smart Healthcare Surveillance System (SHSS) to maintain real-time patient vital track-through. The system offers effective surveillance by means of wireless communication technologies' interaction with real-time picture processing techniques. This ensures better health results via rapid action. Wireless sensors track vital signs, and advanced algorithms may search patient photos for where they have been. Apart from describing the architecture and design of the system, this paper assesses its performance as well, combines real-time data from multiple sensors-including temperature, heart rate, and blood pressure-with modern picture processing techniques for activity and motion recognition to provide a complete wearable health monitoring system. Easy-to-use wireless communication technologies include <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{Wi}-\text{Fi}$</tex> as well as data fusion techniques let the system aggregate sensor data. By means of improved accuracy and dependability in health management, this system guarantees efficient real-time vital sign monitoring with adjustable alert levels.