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| The Application of Image Recognition in Mobile Solar Power Device Based on Light Intensity Detection in Shaded Area |
| Ma Jian1, Yuan Jianhua1, Li Yunjian2, Qin Yuhong2 |
| 1.Electrical Engineering and Renewable Energy, Three Gorges University, Yichang, Hubei 443002; 2. College of Computer and Information Technology, Three Gorges University, Yichang, Hubei 443002 |
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Abstract In the comparative analysis of shadow-free environment with shadow image characteristics, one for the shadow environment, looking for the strongest light through the camera and the weakest light area algorithm, to avoid the strength of the light area,tends to the region of the light intensity, thereby improving the efficiency of solar power generation. The results show that the method can quickly and accurately find nearby for the region with the strongest sunlight.
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Published: 11 June 2014
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| Cite this article: |
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Ma Jian,Yuan Jianhua,Li Yunjian等. The Application of Image Recognition in Mobile Solar Power Device Based on Light Intensity Detection in Shaded Area[J]. Electrical Engineering, 2014, 15(06): 93-95.
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http://dqjs.cesmedia.cn/EN/Y2014/V15/I06/93
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2014, Vol. 15 
