Yi-Jay Li
National Experimental High School at Pingtung Science Park
E-mail：ggg891025@gmail.com
Bing-Yi Chung
National Experimental High School at Pingtung Science Park
E-mail：ss310057@nehs.ptc.edu.tw
I-I Liu
National Experimental High School at Pingtung Science Park
E-mail：ss310070@nehs.ptc.edu.tw
Jia-Hong Jhou
Department of Electrical Engineering, I-Shou University, Kaohsiung, Taiwan
E-mail：topjpos@gmail.com
Abstract
This study aims to develop a non-invasive health monitoring system based on artificial intelligence (AI) image analysis technology, named “Health Mirror”. The system is installed on common dressing mirrors in schools. By analyzing students’ facial features, such as dark circles, jaundice, and abnormal skin color, it can assess their health status in real time and provide personalized health advice. This research aims to address the limitations of traditional health monitoring methods, improve students’ health awareness, improve their health, and reduce absenteeism caused by health problems. This study uses software tools such as Teachable Machine, TensorFlow, and Scratch, combined with hardware equipment such as high-resolution cameras and LED fill lights, to build an image recognition model and design a user-friendly interface to provide instant health feedback.
Keywords：Artificial intelligence、Image recognition、Health monitoring、 School health、Non-invasive testing