基于AI技术的无人机机载前端智能识别技术研究

Research on Intelligent Recognition Technology of UAV Airborne Front End Based on AI Technology

将无人机高精度定位技术与视觉跟踪技术融合,可以实现输电线路设备高清影像的精准采集。因此,有必要建立基于无人机机载前端的巡检图像智能识别前端系统模型,实现输电线路设备缺陷、通道隐患的实时识别。其间可以将人工智能(AI)技术应用到无人机机载前端智能识别中,结合目标检测算法,获得智能识别结果。现场应用后,无人机视角下的微小目标检测符合应用要求。本研究成果可在一定程度上提升无人机巡检应用效果。

The integration of UAV high-precision positioning technology and visual tracking technology can achieve accurate collection of high-definition images of transmission line equipment.Therefore,it is necessary to establish a front-end system model for the intelligent identification of inspection images based on the airborne front-end of the UAV to realize the real-time identification of transmission line equipment defects and channel hidden dangers.In the meantime,artificial intelligence(AI)technology can be applied to the intelligent recognition of the airborne frontend of the UAV,combined with the target detection algorithm,to obtain the intelligent recognition result.After the field application,the detection of small targets under the UAV’s perspective meets the application requirements.The research results can improve the application effect of UAV inspection to a certain extent.