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

Abstract - 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

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Publication Details

Journal
International Research Journal of Innovations in Engineering and Technology
Published
2025-01-01
DOI
https://doi.org/10.47001/irjiet/2025.iccis-202521
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

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

R. Prabu, S Kirthika, Steffy Sherly P, V. Soundhararaj et al.
International Research Journal of Innovations in Engineering and Technology
IoT and Edge/Fog Computing
article

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

R. Prabu, S Kirthika, Steffy Sherly P, V. Soundhararaj, Harini Sri J
article en

Abstract

Abstract - 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

International Research Journal of Innovations in Engineering and TechnologyVol. 09(Special Issue ICCIS)
Industry, innovation and infrastructure
Openalex Percentile: Top 85%
IoT and Edge/Fog Computing
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