Android平台下的无人机输电线路施工车辆巡检

无人机巡检成为输电线路巡检的重要方式.然而,目前的无人机巡检,由于受到前端设备性能的影响,大多基于后期的图像处理,无法达到实时检测的要求.针对无人机巡检中输电线路施工车辆的安全隐患,提出了一个基于Android平台,使用神经网络实时检测施工车辆的方法.通过收集无人机获取的输电线路施工车辆的数据,使用数据增广的方法,并将构建的SSD-MobileNet算法模型集成到Android平台,实现施工车辆的实时目标检测.

Detection of Transmission Lines Construction Vehicles for UAV Based on Android

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.