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AI 비전 기반의 탑뷰 물류 선별 및 산업 안전 통합 제어 시스템 구현에 관한 연구

Implementation of AI Vision-based Top-view Logistics Sorting and Integrated Industrial Safety Control System

이희원, 서동훈, 김서영, 이정익
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  • URLhttps://db.koreascholar.com/Article/Detail/452276
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한국기계기술학회 학술대회논문집 (Proceedings of KSMT Annual Meeting)
한국기계항공기술학회(구 한국기계기술학회) (Korean Society of Mechanical Technology)
초록

In the modern logistics industry, the dual challenge of improving sorting efficiency and ensuring worker safety is paramount. This study presents an integrated smart factory solution developed during a first-year capstone design project. The system utilizes dual top-view AI vision cameras to classify items by grade and type in real-time, coupled with an Arduino-based sorting mechanism. A critical feature of the system is its proactive safety protocol, which employs AI algorithms to detect human presence in hazardous zones and triggers an immediate emergency stop. Experimental results from the prototype demonstrate high classification accuracy and robust safety responsiveness, suggesting a viable model for small-scale automated logistics environments.

키워드
AI VisionObject DetectionLogistics AutomationIndustrial SafetyEmbedded Control
저자
  • 이희원(인하공업전문대학 기계공학부 기계설계공학과) | Hee-won Lee Corresponding author
  • 서동훈(인하공업전문대학 기계공학부 기계설계공학과) | Dong-hun Seo Corresponding author
  • 김서영(인하공업전문대학 기계공학부 기계설계공학과) | Seo-young Kim Corresponding author
  • 이정익(인하공업전문대학 기계공학부 기계설계공학과) | Jeong-ick Lee