Smart Water Auditing using IoT and Machine Learning
Projects from Courses/Final Year Project
Supervisor: Dr. Edith C.H. Ngai (Department of Electrical and Electronic Engineering)
The Smart Water Auditing using IoT, and Machine Learning project aims to provide insights on how water is being in the households of Hong Kong to reduce the consumption of water and raise the awareness of people’s water consumption habits. To help increase participants’ water consumption awareness, a dashboard was designed to provide a simple yet interactive way for users to review their water usage. To create a dashboard, a graphical user interface and a communications system must be designed. However, the initial design of the dashboard suffered from connection issues and graphical user interface performance issues, both of which are essential functions of the dashboard. Therefore, extensive testing and optimisation was necessary to mitigate these problems. However, the dashboard still suffers from minor stuttering due to the microcontroller’s limited performance. Despite this, the design of the dashboard was a success, and it serves as a crucial medium for participants to review their water statistics.
Project leader: Henry LUI, BEng(EEE)
Team member(s): Chou Cheuk Yin, BEng(CompSc); Chu Wai Kit, BEng(CompSc); Wan Tsun Wai, BEng(CompSc)
This project team was selected for the Inno Show award at the 5th Inno Show.
This team has received HK$20,000 sponsorship to participate in international design competition(s) and consumables expenses to support further development of the project.
This project team was selected for the best project award – COMP3329 Computer Game Design and Programming at the 1st Engineering InnoShow.