Real-time detection system of bird nests on power transmission lines based on lightweight network

作     者：Yang, Haopeng Zheng, Enrang Wang, Yichen Shen, Junge 

作者机构：School of Electrical and Control Engineering Shaanxi University of Science and Technology Shaanxi Xi'an China Unmanned System Research Institute Northwestern Polytechnical University Shaanxi Xi'an China 

出 版 物：《International Journal of Wireless and Mobile Computing》 (Int. J. Wireless Mobile Comput.)

年 卷 期：2023年第24卷第3-4期

页      面：217-225页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Birds 

摘      要：In response to real-time detection requirements for bird nests and other hidden danger on power grid transmission lines, this paper proposes a lightweight real-time detection system of bird nests. In terms of bird nests on transmission towers, there are many small targets, which may lead to possible loss of data. Thereby, the algorithm detects small targets of bird nests through three scales: low, middle and high scales. At the same time, the DIoU-NMS calculation method is utilised to make the prediction box closer to the real box. The average accuracy of the improved algorithm is 90.05%, 7.38% higher than the original one. The detection speed of the detection system of bird nests in NVIDIA Xavier NX, an embedded device, is 26.3 FPS. With higher detection accuracy and real-time detection speed, the requirements of high-precision and real-time inspection of State Grid in line inspection can be met. © 2023 Inderscience Enterprises Ltd.