Developmental Research for Industrial Image Processing in the Engineering Education to Learn SDGs

Abstract:

Industrial image processing technology is widely introduced and applied in various fields such as industrial plants, bio-medical industry, agro technology, and also environmental fields. In addition, image acquisition devices are getting more compact and installed onto mobile phones and handy terminals. Which means that we always carry the devices, and can easily take images (still image and moving pictures) of good quality with high resolution, anytime and anywhere. In the research field, 2D code, known as QR code or Data Matrix, has a great potential for industrial applications. As we already know, QR code has been spread and used with various usage likewise ID recognition, URL display on the sticker, and/or the financial transaction's confirmation processing. Not only QR code, but Data Matrix is also frequently used as the printed tag on various material such as metal, wood, or plastic parts. These are used as a product ID or serial number to be recognized by using a mobile terminal. The 2D code technology can be a powerful tool to check and trace the marketing channel of each part of the product. On the other hand, Sustainable Development Goals (SDGs) have been proposed since 2015, researched and introduced to improve our environment and life. This paper describes the proposals of new application technology related to the concept of SDGs. The main contents are based on science and technology, but these have been developed and implemented by the young students of the college. The process and the details are described in the paper.

• Periodical: Advances in Science and Technology (Volume 112)
• Pages: 33-40
• DOI: https://doi.org/10.4028/p-i8oukj
• Online since: April 2022
• Authors: Fumitake Kato*
• Keywords: 2D Code Processing, Engineering Education, Image Recognition, Industrial Image Processing, Machine Vision, Object Detection, Product Inspection, SDGs

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