Development of Smart Helmet for Monitoring Construction Resources Based on Image Matching Method

被引:3
作者
Kang, Sanghyeok [1 ]
Kim, Sungpyo [2 ]
Choi, Byounggil [1 ]
Park, Man-Woo [3 ]
Suh, Wonho [4 ]
机构
[1] Incheon Natl Univ, Dept Civil & Environm Engn, 119 Acad Ro, Incheon 22012, South Korea
[2] QBicware, 161 Simin Dearo, Anyang 14048, Gyeonggi Do, South Korea
[3] Myongji Univ, Dept Civil & Environm Engn, 116 Myongji Ro, Yongin 17058, Gyeonggi Do, South Korea
[4] Hanyang Univ, Dept Transportat & Logist Engn, 55 Hanyangdaehak Ro, Ansan 15588, Gyeonggi Do, South Korea
关键词
POINT CLOUDS; RECONSTRUCTION; RECOGNITION; EQUIPMENT; PIPELINES; TRACKING; WORKERS;
D O I
10.2352/J.ImagingSci.Technol.2019.63.3.030403
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
Construction managers periodically take photographs of on-site resources such as materials and facilities to document various aspects of construction activities. Although digital images can be effectively used for monitoring construction activities, they are not used at all but to show the situation of the site by being attached on the report. In this regard, this study proposes a system and a smart helmet that help site managers identify changes in the conditions of facilities and materials. The smart helmet is equipped with a small camera to record videos around the site, and a small GPS to collect the position data of the site manager wearing the smart helmet. The system includes two separate frameworks-one for fixed resources and the other for mobile resources. The system automatically detects changes in appearance of fixed resources and in locations of mobile resources. The frameworks involve image matching methods which play critical roles in detecting appearance changes of fixed resources as well as cross-checking the identities of mobile resources. Experimental results signify the system's potential uses for effectively monitoring the conditions of on-site facilities and materials. (C) 2019 Society for Imaging Science and Technology.
引用
收藏
页数:10
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