1. How does under-bridge data meet report standards?

Under-bridge collection is executed with standardized parameters consistent with routine inspection; image clarity, overlap and shooting angle all satisfy AI detection and modeling requirements. After collection, data enters the unified processing pipeline, and the “under-bridge” scenario does not lower data standards.

2. AI detection and manual review process

After AI initially detects and marks under-bridge images, professional engineers review each item one by one: defect authenticity determination, level rating and dimension measurement are all manually confirmed. Only reviewed data enters the report, ensuring report content is accurate and reliable.

3. Which regulatory requirements are met?

Reviewed data can be directly used for standardized inspection report output and adapted to the highway bridge technical condition evaluation standard. Combined with the periodic inspection system, defect rating and compliant scoring are completed, meeting industry acceptance and maintenance archiving requirements.

4. Applicable conditions and scenarios

  • Inspection projects where under-bridge defects need to be included in formal inspection reports
  • Full-element inspection needing simultaneous 3D model and defect data output
  • Operations satisfying periodic inspection rating and maintenance archiving requirements

5. Notes

Report data must be archived only after engineer review; pure machine detection results are not directly used as the basis for formal reports.