Box-Girder Reinforcement Component and Cage Inspection System

AI vision and machine vision support dimensional inspection of semi-finished box-girder reinforcement and reinforcement cages, enabling standardized, traceable inspection. Multi-sensor fusion, laser navigation and industrial imaging support finished-girder exterior inspection and internal imaging and inspection.

Box-Girder Reinforcement Component and Cage Inspection System

Project Highlights

Semi-finished box-girder reinforcement inspection

AI vision enables precise dimensional diagnosis of semi-finished reinforcement for precast box girders, addressing the low efficiency, measurement errors and subjectivity of manual inspection.

  • Rebar length and angle measurement
  • Integration and extension

Box-girder reinforcement cage inspection

Machine vision collects reinforcement cage data in real time and intelligently evaluates deviations, replacing manual sampling with standardized, traceable inspection.

  • Rebar quantity
  • Rebar spacing
  • Tying quality
  • Concrete cover thickness

Box-girder exterior inspection

The AI inspection robot for finished precast railway box girders integrates multiple sensors to automatically inspect key girder parameters and evaluate quality.

  • Autonomous navigation and obstacle avoidance
  • Geometric dimension inspection
  • Surface defect inspection
  • Reinforcement cover thickness inspection
  • Automatic inspection reports
  • Beam-yard safety and quality inspection

Internal box-girder imaging and inspection

The internal imaging and inspection robot for small highway box girders integrates high-precision laser navigation, industrial imaging and AI visual analysis. It enters narrow, dark girder interiors to identify cracks, inspect surface defects and retain panoramic imagery in place of manual inspection.

  • Intelligent navigation · Autonomous operation
  • Quality inspection · AI interpretation
  • Image retention · Panoramic viewing
  • Environmental adaptation · Reliable operation