CNN-Based Medical Device Design for the Smart Pillbox with Face Recognition

Fan Wu, Yang Cheng Lin, You Hsun Wu

研究成果: Conference contribution

摘要

This study aims to assist elders with chronic diseases living in healthcare centers or a big family. In the era of AI, designers are not only to design product forms and functions, but the computer vision technique of AI can be used to help them. Based on the convolutional neural network (CNN) technology (as a supervised learning), three different types of optimizers of MobileNet V2 for training the best model accuracy, which is applied to a gerontechnological pillbox device with face recognition. In addition, the MobileNet V2 model proposed is imported into the JETSON edge machine that can identify different faces and then emit different sounds with its corresponding name and the quantity of medications. The smart pillbox device can improve the compliance and safety of elderly people when taking medicine.

原文English
主出版物標題Proceedings - 2020 International Conference on Culture-Oriented Science and Technology, ICCST 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面607-611
頁數5
ISBN(電子)9781728181387
DOIs
出版狀態Published - 2020 十月
事件2020 International Conference on Culture-Oriented Science and Technology, ICCST 2020 - Beijing, China
持續時間: 2020 十月 302020 十月 31

出版系列

名字Proceedings - 2020 International Conference on Culture-Oriented Science and Technology, ICCST 2020

Conference

Conference2020 International Conference on Culture-Oriented Science and Technology, ICCST 2020
國家China
城市Beijing
期間20-10-3020-10-31

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Engineering (miscellaneous)
  • Cognitive Neuroscience
  • Sensory Systems
  • Cultural Studies

指紋 深入研究「CNN-Based Medical Device Design for the Smart Pillbox with Face Recognition」主題。共同形成了獨特的指紋。

引用此