Sensors 2013, 13(5), 5448-5459; doi:10.3390/s130505448
Article

The Development of Sun-Tracking System Using Image Processing

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Received: 30 January 2013; in revised form: 17 April 2013 / Accepted: 17 April 2013 / Published: 24 April 2013
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: This article presents the development of an image-based sun position sensor and the algorithm for how to aim at the Sun precisely by using image processing. Four-quadrant light sensors and bar-shadow photo sensors were used to detect the Sun’s position in the past years. Nevertheless, neither of them can maintain high accuracy under low irradiation conditions. Using the image-based Sun position sensor with image processing can address this drawback. To verify the performance of the Sun-tracking system including an image-based Sun position sensor and a tracking controller with embedded image processing algorithm, we established a Sun image tracking platform and did the performance testing in the laboratory; the results show that the proposed Sun tracking system had the capability to overcome the problem of unstable tracking in cloudy weather and achieve a tracking accuracy of 0.04°.
Keywords: image-based Sun position sensor; image processing; four-quadrant light sensor; bar-shadow photo sensor
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MDPI and ACS Style

Lee, C.-D.; Huang, H.-C.; Yeh, H.-Y. The Development of Sun-Tracking System Using Image Processing. Sensors 2013, 13, 5448-5459.

AMA Style

Lee C-D, Huang H-C, Yeh H-Y. The Development of Sun-Tracking System Using Image Processing. Sensors. 2013; 13(5):5448-5459.

Chicago/Turabian Style

Lee, Cheng-Dar; Huang, Hong-Cheng; Yeh, Hong-Yih. 2013. "The Development of Sun-Tracking System Using Image Processing." Sensors 13, no. 5: 5448-5459.

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