Design and Implementation of AGV-UNO-CAR Using a Line Scan Algorithm 


Vol. 46,  No. 8, pp. 1346-1354, Aug.  2021
10.7840/kics.2021.46.8.1346


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  Abstract

Recently, AGV is increasingly used in industrial sites as smart factories, and mainly uses a wired induction method. Compared to the wireless method, it can be implemented at a lower cost, and AGV can be moved at a high speed. However, the wired induction method has the disadvantage that it is difficult to change and maintain the induction line as it is a method of embedding or attaching the induction line to the floor of the workplace. In this paper, we propose a line-scan algorithm that can perform driving commands via driving path and barcode recognition using open-source Arduino controllers and low-cost high-speed vision sensors to address the shortcomings of wired induction methods. Sixteen bar codes were used to reset and alter AGV routes. A real-time driving experiment with a self-produced AGV-UNO-CAR robot confirmed that the line scan algorithm was operating normally.

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  Cite this article

[IEEE Style]

J. Jang and C. Lin, "Design and Implementation of AGV-UNO-CAR Using a Line Scan Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 8, pp. 1346-1354, 2021. DOI: 10.7840/kics.2021.46.8.1346.

[ACM Style]

JunYoeng Jang and Chi-Ho Lin. 2021. Design and Implementation of AGV-UNO-CAR Using a Line Scan Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 46, 8, (2021), 1346-1354. DOI: 10.7840/kics.2021.46.8.1346.

[KICS Style]

JunYoeng Jang and Chi-Ho Lin, "Design and Implementation of AGV-UNO-CAR Using a Line Scan Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 8, pp. 1346-1354, 8. 2021. (https://doi.org/10.7840/kics.2021.46.8.1346)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880