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
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.
马键,袁建华,李云建,覃玉红. 图像识别在可移动太阳能发电装置上的应用─基于阴影区域光强检测[J]. 电气技术, 2014, 15(06): 93-95.
Ma Jian, Yuan Jianhua, Li Yunjian, Qin Yuhong. The Application of Image Recognition in Mobile Solar Power Device Based on Light Intensity Detection in Shaded Area. Electrical Engineering, 2014, 15(06): 93-95.
2014, Vol. 15 
