Home/Products & Services/Tunnel Defect Inspection and AI Image Recognition

AI image recognition output

Engineering Service

Tunnel Defect Inspection and AI Image Recognition

隧道病害检测与AI图像识别

Tunnel defect inspection and AI-aided image recognition solution for detecting tunnel defects, facility changes, and rail transit tunnel features using lidar images, HD line scan images, and multi-view analysis

基于激光图像、高清线阵图像和多视角分析的隧道病害检测与AI辅助识别方案,可用于隧道病害、设施变化和轨道交通隧道特征识别

Supplied by Shanghai Bofa Spatial Information Technology Co., Ltd.

View Supplier Profile

Overview

Service overview

The tunnel defect inspection and AI image recognition solution combines lidar intensity images, lidar depth images, line scan camera images, maps, HD images, GPR images, and cross-section drawings. It supports tunnel defect inspection, facility and change inspection, metro tunnel feature recognition, and AI-aided classification of tunnel elements.

隧道病害检测与AI图像识别方案融合激光强度图、激光深度图、线阵相机图像、地图、高清图像、探地雷达图像和断面图等多源数据,可用于隧道病害检测、设施变化检查、地铁盾构隧道特征识别及隧道构件AI辅助分类。

Scope

Service scope

Key components that may be provided for relevant engineering scenarios.

  • Lidar intensity image analysis
  • Lidar depth image analysis
  • Line scan camera image analysis
  • Multi-view data fusion
  • AI-aided feature recognition
  • Tunnel defects and facility changes inspection
  • Recognition rate up to 90%
  • 激光强度图分析
  • 激光深度图分析
  • 线阵相机图像分析
  • 多视角数据融合
  • AI辅助特征识别
  • 隧道病害与设施变化检查
  • 识别率最高可达90%

Scenarios

Applicable project scenarios

Typical project conditions where this offering may be relevant.

  • Tunnel defect inspection
  • Minor crack detection
  • Water leakage inspection
  • Facility and change inspection
  • Metro shield tunnel feature recognition
  • Trackside asset recognition
  • Multi-view tunnel image analysis
  • 隧道病害检测
  • 微小裂缝检测
  • 渗漏水检查
  • 设施与变化检查
  • 地铁盾构隧道特征识别
  • 轨旁资产识别
  • 隧道多视角图像分析

Offering Details

Technical Details & Applications

  • Image resolution: Up to 0.2 mm per pixel.
  • Data views: Lidar image, map, HD image, GPR image, cross-section drawing.
  • Recognition targets: Bolt, segment, OCS, cable, signboard, track bed, fastener, escape platform, target, rail track, pipe.
  • Recognition rate: Up to 90%.

技术说明与应用案例

  • 图像分辨率:最高0.2 mm/像素。
  • 数据视图:激光图像、地图、高清图像、探地雷达图像、断面图。
  • 识别对象:螺栓、管片、接触网系统、电缆、标志牌、道床、扣件、疏散平台、靶标、轨道、管线。
  • 识别率:最高90%。