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作 者:郭政[1] 蔡晓龙 GUO Zheng;CAI Xiaoong(Shanghai Jiao Tong University,Shanghai 200240,China)
机构地区:[1]上海交通大学,上海200240
出 处:《信息与电脑》2023年第14期160-162,共3页Information & Computer
摘 要:课堂直录播是目前高校教育数字化转型普遍采取的措施之一,但是课堂教学直播对直播质量提出了更严格的要求。文章对直播中教师分享的课件画面偶发断流问题,开发应用软件检测讲台电脑是否实时在线,结合OpenCV轮巡拉取网络摄像头的实时流媒体协议(Real Time Streaming Protocol,RTSP)流,并利用多线程开发技术提升监测效率,及时发现存在异常的直播流,便于尽早解决直播问题,提升教学直播的稳定性与可靠性。The direct recording and broadcasting of classroom lectures using cloud technology is a widely adopted measure in the digital transformation of higher education institutions.However,strict requirements for the quality of live broadcasts pose challenges.This paper addresses the occasional streaming issues that occur when teachers share lecture slides during live broadcasts by developing a software application to detect the real-time availability of the lectern computer.The application utilizes OpenCV to periodically pull Real Time Streaming Protocol(RTSP)streams from network cameras and utilizes multithreading technology to enhance monitoring efficiency.By promptly identifying abnormal live streams,this approach facilitates early intervention and resolution of broadcasting issues,thereby improving the stability and reliability of educational live broadcasts.
关 键 词:云录播 实时流媒体协议(RTSP) OPENCV 多线程
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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