Abstract: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.