论文标题
飞行机器人的新设计，采用高级计算机视觉技术来执行智能电网的自我维护
A new design of a flying robot, with advanced computer vision techniques to perform self-maintenance of smart grids
论文作者
论文摘要
在本文中，我们介绍了飞行机器人的完整设计，以研究电网组件的状态，并根据可以识别的每个失败或缺陷执行适当的维护程序。实现此目的；在此设计中采用了不同类型的传感器，包括热和空中视觉系统。此机器人的主要功能和技术规范在此详细介绍和讨论。在这项工作中利用了一些基本和先进的计算机视觉技术，以从机器人的周围环境中进行一些读数和测量。从每个给定的图像中，使用依赖于离散小波变换的新区域建议方法提取许多包含不同电气组件的子图像，以后通过使用卷积神经网络进行分类。
In this paper, we present a full design of a flying robot to investigate the state of power grid components and to perform the appropriate maintenance procedures according to each fail or defect that could be recognized. To realize this purpose; different types of sensors including thermal and aerial vision-based systems are employed in this design. The main features and technical specifications of this robot are presented and discussed here in detail. Some essential and advanced computer vision techniques are exploited in this work to take some readings and measurements from the robot's surroundings. From each given image, many sub-images containing different electrical components are extracted using a new region proposal approach that relies on Discrete Wavelet Transform, to be classified later by utilizing a Convolutional Neural Network.
