基于30米高空无人机拍摄的光伏板识别和进度指数数据

用于海上光伏施工方现场进度管理，快速参看统计项目已成功安装的光伏板数量，并计算出光伏板进度指数本数据和算法仅针对海上光伏施工现场图像画面显示，不含个人数据、公共数据，无数据标识体现。本算法是在无人机拍摄的图片中，对人员识别和判断。使用人员识别算法找出可能的人员并计数。同时结合无人机拍摄时的坐标和高度计算出拍摄面积，间接计算该区域的光伏板进度指数。算法规则：光伏板进度指数=光伏板数量/（高度*成像裁剪系数）

This dataset and algorithm are developed for on-site progress management of offshore photovoltaic construction teams, enabling quick statistics of the number of successfully installed photovoltaic panels and calculation of the photovoltaic panel progress index. This dataset and algorithm only apply to image frames captured at offshore photovoltaic construction sites, and do not contain personal data or public data, with no data identifiers included. This algorithm performs personnel recognition and judgment on images captured by unmanned aerial vehicles (UAVs): it uses personnel recognition algorithms to identify potential personnel and count their number. Meanwhile, it calculates the shooting area by combining the coordinates and altitude during UAV image capture, and indirectly computes the photovoltaic panel progress index for the corresponding area. Algorithm rule: Photovoltaic Panel Progress Index = Number of Photovoltaic Panels / (Altitude × Imaging Cropping Coefficient)

搜集汇总

数据集介绍

特点

该数据集包含1873条通过无人机拍摄的光伏板图像数据，用于海上光伏施工的进度管理，通过特定算法计算光伏板进度指数，支持施工现场的进度统计和管理。