Implementation of QR Code Recognition Technology Using Smartphone Camera for Indoor Positioning
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| Titel: | Implementation of QR Code Recognition Technology Using Smartphone Camera for Indoor Positioning |
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| Autoren: | Ji-In Kim, Hui-Seon Gang, Jae-Young Pyun, Goo-Rak Kwon |
| Quelle: | Energies, Vol 14, Iss 2759, p 2759 (2021) |
| Verlagsinformationen: | MDPI AG |
| Publikationsjahr: | 2021 |
| Bestand: | Directory of Open Access Journals: DOAJ Articles |
| Schlagwörter: | indoor positioning, QR code recognition, camera calibration, Technology |
| Beschreibung: | 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. |
| Publikationsart: | article in journal/newspaper |
| Sprache: | English |
| Relation: | https://www.mdpi.com/1996-1073/14/10/2759; https://doaj.org/toc/1996-1073; https://doaj.org/article/3f1da3e7dd0844e5a727fe8689feea5f |
| DOI: | 10.3390/en14102759 |
| Verfügbarkeit: | https://doi.org/10.3390/en14102759 https://doaj.org/article/3f1da3e7dd0844e5a727fe8689feea5f |
| Dokumentencode: | edsbas.F1A3FFA6 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | 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. |
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| DOI: | 10.3390/en14102759 |