Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 32, Number 5(3) (2020)
Copyright(C) MYU K.K.
pp. 1907-1912
S&M2227 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2020.2632
Published: May 31, 2020

Development of Smart Pillbox Using 3D Printing Technology and Convolutional Neural Network Image Recognition [PDF]

Kun-Li Tsai, Ben-Yi Liau, Yu-Ming Hung, Gwo-Jeng Yu, and Yao-Chin Wang

(Received September 25, 2019; Accepted March 24, 2020)

Keywords: smart pillbox, 3D printing, embedded system, image recognition, convolution neural network (CNN)

Safety in taking medicine is important in health care. In this study, we propose a complete concept of an active smart pillbox, which comprises a main control unit, a pill dispenser unit, and an application software (app) for the automatic dispensing of medicine. The smart pillbox employs convolutional neural network image recognition and 3D printing technology. We adopt an Arduino-based platform to control the rotation and stopping of the motor to dispense the required quantity of pills as the first step towards a fully automated process. A smartphone can be connected to the smart pillbox by Bluetooth and be used to set the parameters of the system. This pillbox can be used at home and allows users to set the medication time and pill type from their smartphone using an app. Moreover, it can remind users to take their medicine. The device is very promising for use in home care and clinical practice.

Corresponding author: Yao-Chin Wang


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Kun-Li Tsai, Ben-Yi Liau, Yu-Ming Hung, Gwo-Jeng Yu, and Yao-Chin Wang, Development of Smart Pillbox Using 3D Printing Technology and Convolutional Neural Network Image Recognition, Sens. Mater., Vol. 32, No. 5, 2020, p. 1907-1912.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Advanced Sensing Technologies for Green Energy
Guest editor, Yong Zhu (Griffith University)
Call for paper


Special Issue on Room-temperature-operation Solid-state Radiation Detectors
Guest editor, Toru Aoki (Shizuoka University)
Call for paper


Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper


Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper


Special Issue on Signal Collection, Processing, and System Integration in Automation Applications
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.