IoT based microorganism detection and filtration system
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Date
Publisher
Brac University
Citation
Abstract
This abstract presents an IoT-based microorganism detection and filtration system. The
system utilizes sensor technology to detect the presence of microorganisms in air using masks
and a filtration mechanism to remove them. The sensor data is transmitted to a remote device
via IoT connectivity, allowing for real-time monitoring and analysis of the air quality. The
system is designed to be highly efficient and cost-effective, making it a viable solution for
large-scale implementation in various settings, including homes, industries, school, medical
etc. The system is also designed to be user-friendly and easy to install, making it accessible to
a wide range of users. This proposed IoT based microorganism detection and filtration system
has the potential to improve the quality of life for communities by providing access to air
quality monitoring.
LC Subject Headings
Description
Cataloged from PDF version of final year design project.
Includes bibliographical references (pages 100-102).
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.
Includes bibliographical references (pages 100-102).
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.
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Type
Project report