The Application of Image Recognition in Mobile Solar Power Device: Based on Light Intensity Detection in Shaded Area

Jian Ma; Bang De Zheng; Yong Tian Jia; Jian Hua Yuan

doi:10.4028/www.scientific.net/AMR.860-863.58

Paper Titles

Impacts Assessment of a Solar Energy Project under the Perspective of Sustainable Livelihood with Wenhai Village, Lijiang as an Example
p.37

A Solar Powered Battery Charger with Pulse Charging Method and Maximum Power Point Tracking Method
p.44

The Calculation of Radiation and Optimum Tilt Angle on the Inclined Plane of South-Facing Collector in Winter Months
p.48

Estimation of Daily Global Solar Radiation with Measured Meteorological Data in Xining, China
p.54

The Application of Image Recognition in Mobile Solar Power Device: Based on Light Intensity Detection in Shaded Area
p.58

Selection of Working Fluids for Medium Temperature Heat Pipes Used in Parabolic Trough Solar Receivers
p.62

Investigation of Annealing Effect on Optoelectronic Performance of Active Layer in Poly Organic Solar Cell
p.69

Review of Economic Operation Optimization Strategy of Photovoltaic Grid-Connected System
p.75

Effects of Tube Space on the Thermal Performance of Water-in-Glass Evacuated Tube Solar Water Heaters
p.81

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 860-863The Application of Image Recognition in Mobile...

The Application of Image Recognition in Mobile Solar Power Device: Based on Light Intensity Detection in Shaded Area

Abstract:

In the comparative analysis of image characteristics of shadow-free and shaded area, an algorithm for shaded area, avoiding the area whose illumination is weak and tending to the area with strong light via looking for the strongest and weakest light area, is established, which can thereby improve the efficiency of power generation. The result demonstrates that the method can find the region with the strongest sunlight fast and accurately.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

58-61

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.860-863.58

Citation:

Cite this paper

Online since:

December 2013

Authors:

Jian Ma, Bang De Zheng, Yong Tian Jia, Jian Hua Yuan*

Keywords:

Camera, Image Recognition, Shadow Detection, Solar Photovoltaic Power Generation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] V. M. Fthenakis, H.C. Kim, M. Alsema, Emissions from photovoltaic life cycles, Environmental Science and Technology, vol. 42, pp.2168-2174, (2008).

DOI: 10.1021/es071763q

Google Scholar

[2] E. C. Pedrino , O. Morandin Jrand V. O. Roda Intelligent FPGA based system for image recognition, Proc. 7th Southern Conf. Programmable Logic, pp.197-202 (2011).

DOI: 10.1109/spl.2011.5782648

Google Scholar

[3] Y. Liu and C. Pomalaza-Raez A low-complexity algorithm for the on-chip moment computation of binary images, Proc. Int. Conf. Mechatron. Autom., pp.1871-1876 (2009).

DOI: 10.1109/icma.2009.5244998

Google Scholar

[4] D. J. Dailey , F. W. Cathey and S. Pumrin An algorithm to estimate mean traffic speed using uncalibrated cameras, IEEE Trans. Intell. Transportation Syst., vol. 1, no. 2, pp.98-107 (2000).

DOI: 10.1109/6979.880967

Google Scholar

[5] B. G. Mertzios Block realization of 2-D IIR digital filters, Signal Process., vol. 7, pp.135-149 (1984).

DOI: 10.1016/0165-1684(84)90071-9

Google Scholar