Young Researcher Paper Award 2025
🥇Winners

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 33, Number 6(1) (2021)
Copyright(C) MYU K.K.
pp. 1767-1776
S&M2571 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3193
Published: June 1, 2021

Teaching Tool for Fun Learning of AI-based Banknote Detection Technology [PDF]

Cheng-Yu Yeh, Chun-Cheng Lin, and Kuan-Chun Hsu

(Received November 18, 2020; Accepted February 3, 2021)

Keywords: object detection, artificial intelligence (AI), deep learning, you only look once (YOLO)

This paper presents a teaching tool for schoolchildren to learn artificial intelligence (AI) technology through which a variety of banknotes can be recognized. This was done by first using a pretrained YOLOv3 object detection model. Secondly, transfer learning was conducted on the pretrained model using 11 collected banknotes, including US$, Euro, Japanese Yen, and NT$. The banknote detection model was experimentally validated to give an average precision (AP) of up to 99.09% if the threshold Intersection over Union (IoU) is not less than 0.8. Once a banknote was successfully recognized, the face value and the country name thereon were displayed, and schoolchildren can access suggested websites, i.e., Wikipedia, Google Maps, and the Bank of Taiwan, to learn more about the exchange rate between currencies and the history and location of the country that issued the banknote. Consequently, schoolchildren can have fun using this tool and acquire a more a global outlook. Moreover, they may be motivated to become AI professionals in the future.

Corresponding author: Cheng-Yu Yeh


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

Cite this article
Cheng-Yu Yeh, Chun-Cheng Lin, and Kuan-Chun Hsu, Teaching Tool for Fun Learning of AI-based Banknote Detection Technology, Sens. Mater., Vol. 33, No. 6, 2021, p. 1767-1776.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Signal Collection, Processing, and System Integration in Automation Applications 2026
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology), Ming-Te Chen (National Chin-Yi University of Technology), and Chin-Yi Cheng (National Yunlin University of Science and Technology)
Call for paper


Special Issue on Advanced GeoAI for Smart Cities: Novel Data Modeling with Multi-source Sensor Data
Guest editor, Prof. Changfeng Jing (China University of Geosciences Beijing)
Call for paper


Special Issue on Advanced Sensor Application Development
Guest editor, Shih-Chen Shi (National Cheng Kung University) and Tao-Hsing Chen (National Kaohsiung University of Science and Technology)
Call for paper


Special Issue on Mobile Computing and Ubiquitous Networking for Smart Society
Guest editor, Akira Uchiyama (The University of Osaka) and Jaehoon Paul Jeong (Sungkyunkwan University)
Call for paper


Special Issue on Advanced Materials and Technologies for Sensor and Artificial- Intelligence-of-Things Applications (Selected Papers from ICASI 2026)
Guest editor, Sheng-Joue Young (National Yunlin University of Science and Technology)
Conference website
Call for paper


Special Issue on Biosensing Devices
Guest editor, Kiyotaka Sasagawa (Nara Institute of Science and Technology)
Call for paper


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