IoT-Based Automatic Bed Vacancy Detection in Hospital Using Load Sensor

An efficient bed availability tracking system is a crucial component in modern healthcare infrastructure, particularly in India where hospital bed scarcity is a major concern. Delays in accessing beds for treatment often lead to severe consequences, especially in rural areas. To address this issue, we propose a smart bed management system utilizing Internet of Things (IoT) technology, load sensors, and a web-based interface. Unlike traditional systems that rely solely on manual updates or basic IR sensors, our approach incorporates load sensors to accurately detect the presence or absence of a patient on a bed. These sensors are integrated with an Arduino microcontroller, which collects real-time data and transmits it to a central web server.

In addition to tracking bed occupancy, our system also links each bed with patient details, including ID, admission time, and status, allowing hospital staff to manage and allocate resources more effectively. This system ensures transparency for patients and their families, who can check real-time availability and pre-book beds remotely. Hospital administrators benefit from centralized monitoring, enabling rapid response in emergency situations and better utilization of available facilities. The integration of load sensors improves detection accuracy over traditional IR sensors, reducing false positives due to movements around the bed. This project provides a scalable and user-friendly solution for both urban and rural hospitals, aiming to reduce patient wait times and improve overall hospital management efficiency.