Implementation of QR Code Recognition Technology Using Smartphone Camera for Indoor Positioning

Ji-In Kim, Hui-Seon Gang, Jae-Young Pyun and Goo-Rak Kwon
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Ji-In Kim: Department of Information Communication Engineering, Chosun University, Gwangju 61452, Korea
Hui-Seon Gang: Department of Information Communication Engineering, Chosun University, Gwangju 61452, Korea
Jae-Young Pyun: Department of Information Communication Engineering, Chosun University, Gwangju 61452, Korea
Goo-Rak Kwon: Department of Information Communication Engineering, Chosun University, Gwangju 61452, Korea

Energies, 2021, vol. 14, issue 10, 1-13

Abstract: Numerous studies on positioning technology are ongoing for recognizing the positions of objects accurately. Vision-, sensor-, and signal-based technologies are combined for recognizing the positions of objects outdoors and indoors. While positioning technologies involving wireless communication based on sensors and signals are commonly used in outdoor environments, the performance becomes degraded in indoor environments. Therefore, a vision-based indoor positioning method using a QR code is proposed in this study. A user’s position is measured by determining the current position of a smartphone device accurately based on the QR code recognized with a smartphone camera. The direction, distance, and position are acquired using the relationship between the three-dimensional spatial coordinate information of the camera and the center point coordinates of a two-dimensional planar QR code obtained through camera calibration.

Keywords: indoor positioning; QR code recognition; camera calibration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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