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    무인항공기와 인공지능 기반 자동 외관 검사 기술의 현황과 고위험 건설기계 적용 가능성 = Review of UAV–AI-Based Automated Visual Inspection Technologies and Their Applicability to High-Risk Construction Machinery

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    https://www.riss.kr/link?id=A109984593

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    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.
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    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 te...

    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.

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