A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Automated monitoring of hardhats wearing for onsite safety enhancement
Construction is one of the most dangerous job sectors over the world. Any accidents that happen on the construction sites will bring the sufferings to the workers and their families and incur the delays and costs to the projects. Therefore, it is necessary for the contractors to monitor potential site safety issued and comply with existing safety regulations all the time. One of fundamental safety regulations is hardhat wearing. The wearing of the hardhats is always mandated and should not be violated anytime on the construction sites. In this paper, a novel method is proposed to facilitate the monitoring of whether any persons on the construction sites are wearing hardhats as required by the safety regulations. The method is built upon computer vision techniques. Under the method, human bodies and hardhats are first detected in the video frames captured by real-time on-site construction cameras. Then, their pair-wise matching is found. For those persons without the matching of the hardhats, they are identified as not wearing hardhats. The proposed method has been tested on real site videos. The test results showed that multiple persons could be monitored even if they are not wearing any real-time location sensors or tags. The test results demonstrate the potential of using live streaming or time-lapse construction site videos to facilitate the safety monitoring work on construction sites. ; Non UBC ; Unreviewed ; Faculty
Automated monitoring of hardhats wearing for onsite safety enhancement
Construction is one of the most dangerous job sectors over the world. Any accidents that happen on the construction sites will bring the sufferings to the workers and their families and incur the delays and costs to the projects. Therefore, it is necessary for the contractors to monitor potential site safety issued and comply with existing safety regulations all the time. One of fundamental safety regulations is hardhat wearing. The wearing of the hardhats is always mandated and should not be violated anytime on the construction sites. In this paper, a novel method is proposed to facilitate the monitoring of whether any persons on the construction sites are wearing hardhats as required by the safety regulations. The method is built upon computer vision techniques. Under the method, human bodies and hardhats are first detected in the video frames captured by real-time on-site construction cameras. Then, their pair-wise matching is found. For those persons without the matching of the hardhats, they are identified as not wearing hardhats. The proposed method has been tested on real site videos. The test results showed that multiple persons could be monitored even if they are not wearing any real-time location sensors or tags. The test results demonstrate the potential of using live streaming or time-lapse construction site videos to facilitate the safety monitoring work on construction sites. ; Non UBC ; Unreviewed ; Faculty
Automated monitoring of hardhats wearing for onsite safety enhancement
Zhu, Zhenhua (author) / Park, Man-Woo (author) / Elsafty, Nehad (author) / International Construction Specialty Conference (5th : 2015 : Vancouver, B.C.) / Canadian Society for Civil Engineering
2015-06-01
Conference paper
Electronic Resource
English
DDC:
690
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