摘要
现有的施工区域危险源识别方法缺少对施工区域的全面识别,可能遗漏某些危险源,导致识别的准确度较低。为了提高危险源识别的准确率,提出基于计算机视觉的施工区域危险源识别方法。首先采用基于计算机视觉采集施工区域图像,其次对施工现场图像滤波处理,最后定位识别危险区域。设计对比实验,实验结果证明该方法可以显著改善施工区域危险源识别效果,为施工安全提供了可靠的保障,同时能够在实际应用中发挥重要作用。
Due to the lack of comprehensive identification of the construction area by the hazard identification method in the construction area,some hazard sources may be missed,resulting in a low accuracy of identification.In order to improve the accuracy of hazard identification,this paper proposes the hazard identification methods in construction areas based on computer vision.Collect the image of the construction area based on computer vision,then filter the image of the construction site,and finally locate and identify the dangerous area.Design comparison experiment,the experimental results prove that this method has a significant effect in improving the identification of hazard sources in the construction area.It provides a reliable guarantee for the construction safety,and it also can play an important role in the practical application.
作者
杨柳
裴宁
张浩宇
YANG Liu;PEI Ning;ZHANG Haoyu(Information Technology Center of China Railway Electrification Bureau Group Co.,Ltd.,Beijing 100036,China)
出处
《信息与电脑》
2023年第24期151-153,共3页
Information & Computer
关键词
计算机视觉
施工区域
危险源
识别方法
computer vision
construction area
hazard source
recognition method