Review of UAV–AI-Based Automated Visual Inspection Technologies and Their Applicability to High-Risk Construction Machinery
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have recently emerged as effective tools for automating safety inspections in hazardous and hard-to-reach industrial environments.UAV-AI-based automated visual inspection technologies have been widely applied to infrastructure such as bridges, towers, and port facilities to detect, segment, and classify surface defects.However, their application to high-risk construction machinery remains limited, and few review studies have addressed this gap.This study provides a comprehensive review of existing UAV-AI inspection technologies and evaluates their applicability to heavy construction equipment such as tower cranes and pile drivers.The findings aim to establish a conceptual foundation for future research and offer strategic insights into the development of intelligent, real-time, and automated inspection systems suitable for complex and high-risk construction environments.
Authors
- Yosoon Choi (ORCID: https://orcid.org/0000-0001-9616-3725)
- H. X. Yang (ORCID: https://orcid.org/0009-0002-5777-1570)
- Seungdo Kim (ORCID: https://orcid.org/0000-0001-9450-0249)
Institutions
- Lux Research (United States) (US)
Publication Details
- Journal
- Journal of the Korean Society of Mineral and Energy Resources Engineers
- Published
- 2025-10-31
- DOI
- https://doi.org/10.32390/ksmer.2025.62.5.567
- Citations
- 1
- Primary Topic
- Infrastructure Maintenance and Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.95