Cloud-based Server Environment for Waste Management in Hospitals

DOI

10.2991/978-94-6463-529-4_14How to use a DOI?

Keywords

Waste Management; Cloud server; RFID; Sensor-tag; Wi-Fi

Abstract

One of the main factors causing illness epidemics, particularly in developing nations, has historically been overfilled dumpsters. Since the idea of Internet of Things (IoT) technology has come to pass, the area of medical research—along with its new technologies—is developing quickly. By controlling chronic disorders from one end and halting their spread on the other, IoT may play an important role inside the clinical sphere. Due to the presence of patients who are recovering, the risk posed by overflowing dumpsters within the hospital is rather substantial, and it contributes significantly to the preceding statement about pathogen transmission. Garbage must be removed from hospital grounds and rooms as soon as they fill up for this reason. To ensure that no bins overflow, manual bin monitoring needs to be done frequently. However, the frequent breaks could hurt the patients who are residents. As a result, our strategy ensures that dumpsters are only cleaned when necessary, lowering the number of workers needed. The proposed cloud-based waste management system in which the dumpsters are attached with sensors that can upload the cloud’s status and notify users of their waste level status. The sensor measures the amount of dust in the garbage bin. The system consists of a cutting-edge RFID sensor-tag connected with an ultrasonic sensor as well as a cloud software platform that can manage the data gathered.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - K. Aishwarya
AU  - T. R. Dinesh Kumar
AU  - U. Savitha
AU  - Vemasani Monish
AU  - R. RaviChandran
AU  - T. Vishwa
PY  - 2024
DA  - 2024/10/04
TI  - Cloud-based Server Environment for Waste Management in Hospitals
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 145
EP  - 156
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_14
DO  - 10.2991/978-94-6463-529-4_14
ID  - Aishwarya2024
ER  -