Intelligent healthcare: An IoT based contact tracing system for Ashesi University

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The outbreak of contagious diseases demand isolation and quarantining of infected persons and people they have been in close proximity with. This can be easily achieved if technology based systems are designed to facilitate contact tracing. In a technological where almost everyone carries a device around, features of such devices can be leveraged on in conjunction with other technologies to design robust contact tracing systems - the aim of this project. This project is divided into two main parts: the software sub-system and the hardware sub-system. The software sub-system comprise of a cross-platform mobile application that tracks users, and an admin portal to monitor user activities. The hardware sub-system is an IoT-based system that uses a Raspberry Pi to capture indoor images with the aid of a Raspberry Pi camera module. It processes the imagines to determine whether the occupants of the room have been in close proximity with one another or not while relaying feedback to them, via its actuators and at the same time updates the admin portal. The system was safely tested under a controlled environment of three users and all the features worked as expected with less errors.
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Computer Engineering, May 2021
social distance, health technology