AUTOMATIC EARLY DETECTION SYSTEM OF FEVERISH INFECTIOUS DISEASES IN PUBLIC AREAS: SENSING SUBSYSTEM DESIGN AND IMPLEMENTATION

This paper presents the design of the sensing subsystem within a 3-layer Internet of Things (IoT) architecture intended for the automatic detection and identification of individuals with feverish infectious diseases in indoor public areas. The sensing edge node is comprised of two key sensors: a...

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Bibliographic Details
Main Author: Gianto, Leonardo
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/73865
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:This paper presents the design of the sensing subsystem within a 3-layer Internet of Things (IoT) architecture intended for the automatic detection and identification of individuals with feverish infectious diseases in indoor public areas. The sensing edge node is comprised of two key sensors: a thermal sensor for capturing body temperature and a camera module for capturing facial images. These data streams are wirelessly transmitted to an edge device for subsequent processing, utilising the MQTT communication protocol due to its superior performance in terms of throughput and latency compared to HTTP. Furthermore, the paper delves into the various design considerations and component selection undertaken to ensure adherence to the specific requirements and specifications of the system. The implementation results have been deemed satisfactory; however, certain shortcomings have been identified, particularly in relation to accuracy and reliability.