1. How do AI and humans divide the work?
AI rapidly screens massive inspection images and performs preliminary detection marking, efficiently annotating suspected defect areas; engineers review each AI-marked result item by item, completing defect authenticity determination, level rating and maintenance recommendation output. AI improves efficiency; humans ensure professionalism and compliance.
2. Why is manual review necessary?
Bridge inspection reports carry legal effect for industry acceptance and archiving. Defect level rating must combine professional standards with structural knowledge for comprehensive judgment; pure machine detection has an extremely low probability of false positives and missed detections, and must be verified and corrected by engineers to ensure accurate, reliable inspection results.
3. Human-machine collaboration workflow
| Stage | Performed by | Content |
|---|---|---|
| Image screening | AI | Fast marking of suspected defects in massive data |
| Authenticity determination | Engineer | Review AI marks, remove false positives |
| Level rating | Engineer | Rate defect levels per standards |
| Report output | Engineer | Generate compliant inspection and periodic inspection reports |
4. Applicable conditions and scenarios
- All inspection projects requiring formal inspection reports
- Rapid screening of defects across large-scale bridges
- Periodic inspection rating and maintenance decision scenarios
5. Notes
When purchasing AI detection services, confirm whether a manual review step is built in, to avoid compliance risk from “pure AI reports.”