摘要
受疫情影响,各高校的教学工作均以线上“云课堂”的形式开展,但现有摄像头捕捉内容时控制迟缓,导致学生在课堂学习时效率低下。摄像装置功能的改善问题亟待解决。随着视频识别技术的广泛发展与应用,现将此技术应用在摄像头处,实现摄像头高精度的自动跟随捕捉拍摄,提高课堂教学质量。项目一方面可运用于高校课堂的云教学,另一方面也可运用于公司的演讲,远距离视频汇报或教辅机构的教学,用途广泛且便捷高效。
Affected by the epidemic,the teaching work in colleges is carried out in the form of online“cloud classroom”,but the control of the existing cameras to capture the content is slow,resulting in the low efficiency of students in classroom learning.It is urgent to solve the problem of improving the function of camera device.With the wide development and application of video recognition technology,this technology is now applied to the camera to realize the high-precision automatic follow capture of the camera and improve the quality of classroom teaching.On the one hand,the project can be used in cloud teaching in college classroom,on the other hand,it can also be used in the company’s speech,long-distance video reporting or teaching in teaching auxiliary institutions,which is widely used,convenient and efficient.
作者
宋昕一
杜正洋
董佳
SONG Xinyi;DU Zhengyang;DONG Jia(University of Shanghai for Science and Technology,Shanghai 200093)
出处
《现代信息科技》
2020年第23期28-30,共3页
Modern Information Technology
关键词
摄像头
视频识别
人工智能
边缘计算
camera
video recognition
artificial intelligence
edge computing