Earticle

초록

영어

As the methods using UAV (unmanned aerial vehicles) are being sought in multipurpose surveillance and monitoring technologies such as saving lives, the collection of weather information, forest fire prevention, etc, active research has also been under progress in various areas. In this paper a miniature UAV was used to provide an image processing system of the structure cracks situational awareness for the safety inspection of the structure. With the structures for seasonal changes greatly depending on the time each day, the problem is a difficulty in checking for damage. Using a context-aware image processing system for the images are suspected of having cracks, it is possible to find out whether the structure gets damaged and take an immediate action if necessary. Ultimately, it could contribute to risk reduction. A context-aware crack image processing system processes the image that seems to have cracks and analyzes the data sent by a number of sensors, so as to establish an optimal condition. Then the proposed system provides an appropriate service that deals with the situation autonomously. The proposed system enables to accurately detect the defects occurring at the surface of facility and contributes to saving of time and efforts effectively.

목차

Abstract
 1. Introduction
 2. Image Recognition Algorithm for Identifying Cracks on the Structure
 3. Context-Aware Image Processing System Using Small UAV For Recognizing Cracks on High-Rise Structure
 4. Conclusion
 Acknowledgment
 References

키워드

저자

• Oh Hoon Cho [ Department of Computer Science, Sunchon National University ]
• Jong Chan Kim [ Department of Computer Science, Sunchon National University ]
• Eung Kon Kim [ Department of Computer Science, Sunchon National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605