Automated health surveillance system for passenger

Ensuring passenger safety and comfort remains a top priority in the aviation industry, particularly during in-flight medical emergencies involving cardiac and respiratory complications. The absence of immediate medical intervention and the limitations of current aircraft health monitoring systems pose significant risks. Existing systems primarily depend on manual observation and basic sensors, lacking continuous health assessment, data analytics, and adaptive response mechanisms. This paper proposes a Smart Passenger Health Monitoring System that integrates Heart Rate (BPM), Electrocardiogram (ECG), and Peripheral Capillary Oxygen Saturation (SpO₂) monitoring into a single intelligent framework. The system utilizes high-precision biomedical sensors for continuous data acquisition, while an embedded microcontroller processes physiological parameters in real time to detect abnormalities. Upon identifying potential distress, the system triggers an automated seat adjustment mechanism that repositions the passenger to alleviate respiratory discomfort and improve oxygen flow. The system leverages sensor fusion, anomaly detection algorithms, and adaptive control logic to deliver accurate, autonomous, and responsive health monitoring during flight. Simulation and prototype analysis demonstrate the system’s potential to enhance medical preparedness, reduce emergency response time, and improve overall passenger well-being. The proposed approach represents a significant advancement toward next-generation intelligent cabin safety systems, reinforcing the aviation sector’s commitment to innovation, safety, and human-centered design