Tianjin Key Laboratory of Intelligent Information Processing in Remote Sensing, Tianjin Zhongwei Aerospace Data System Technology Co. Ltd., Tianjin 300450, China 在期刊界中查找 在百度中查找 在本站中查找
Unmanned Aerial Vehicle (UAV) inspection has become an important way of transmission line inspection. However, most UAV inspections are based on post-processing and cannot achieve real-time detection, which is mainly limited by the performance of the front-end equipment. A real-time detection method is proposed to detect construction vehicles under the transmission lines by UAV based on Android using neural network. Real-time object detection of the construction vehicle is realized by collecting the data of construction vehicles obtained by UAV, using data enhancement methods, and integrating SSD-MobileNet algorithm model into the Android platform.