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Sensors and Materials, Volume 33, Number 6(1) (2021)
Copyright(C) MYU K.K.
pp. 1767-1776
S&M2571 Research Paper of Special Issue
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

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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.

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