摘要
井下作业的安全始终作为工矿企业最为重要的关注点之一,对于井口进出人员的管理是确保安全作业的基本需求,传统的考勤系统对于井下环境及使用方面不是很友好,需要作业人员执行特定的操作才能完成,学习及使用维护成本相对较高。最后提出基于井下原有的视频采集系统的视频流,集成轮廓检测及颜色识别算法直接监测视频画面特定区域,分别统计进入和离开的人数,并依据统计数据分析有无异常人员进入作业区。
The safety of underground operations has always been one of the most important concerns of industrial and mining enterprises. The management of wellhead entry and exit personnel is the basic requirement for ensuring safe operation. The traditional attendance system is not very friendly to the underground environment and use, and requires the operator to perform specific operations. The operation can be completed, and the learning and maintenance costs are relatively high. Finally, the video stream based on the original video capture system is proposed. The integrated contour detection and color recognition algorithm directly monitors the specific area of the video screen, and counts the number of people entering and leaving, and analyzes whether there are abnormal personnel entering the work area according to the statistical data.
作者
苏晨
郝乐
杨若楠
SU Chen;HAO Le;YANG Ruo-nan(Xi′an Aerospace Propulsion Institute,Xi′an 710100,China;School of Electrical and Control Engineering,Xi′an University of Science and Technology,Xi′an 710054,China)
出处
《煤炭技术》
CAS
2019年第12期164-167,共4页
Coal Technology
关键词
视频流
人数统计
颜色识别
轮廓检测
video stream
population statistics
color recognition
contour detection
