The Patient Monitoring System is a smart healthcare solution developed to enhance patient safety and hospital efficiency through continuous, AI-assisted surveillance. Installed in hospital wards, the system uses high-resolution cameras paired with AI algorithms to analyze patient activity and health conditions. It automatically detects early signs of medical distress such as rapid breathing, continuous hand tremors, unusual movements, or unconsciousness.

Whenever an abnormal condition is detected, the system immediately generates an alert in the hospital’s control room, clearly identifying the ward and bed number, along with the patient’s video feed for quick assessment. This allows doctors and nurses to respond instantly, minimizing delays in critical care.

The project is designed to complement human staff by ensuring round-the-clock vigilance, reducing the chances of missed emergencies, and improving the overall quality of healthcare delivery. It represents a significant step forward in using AI and IoT for life-saving medical applications.