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An Industry-Ready Single PTZ-Camera Based Attendance Management System

机译:基于行业的单云台摄像机的考勤管理系统

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In this paper, we present a smart management system for automatic headcount and attendance monitoring in the field of distance education and online training. Our system exploits the state-of-the-art object detection and face recognition models with customized modifications to achieve real-time performance under limited computation resources. Moreover, we present a novel route planning model for a pan–tilt–zoom camera (PTZ-camera) which significantly reduces the amount of time required to scan the whole environment. Experimental results demonstrate our system is able to deliver stable performance in terms of head detection and face recognition accuracy and system reliability. We believe our work showcases a successful integration of cutting edge academic approaches and affordable hardware resources, presenting an industry solution for the low-resolution face recognition task.
机译:在本文中,我们提出了一种用于远程教育和在线培训领域的自动人数和出勤监控的智能管理系统。我们的系统利用最先进的对象检测和面部识别模型,并对其进行了自定义修改,以在有限的计算资源下实现实时性能。此外,我们为平移-倾斜-变焦相机(PTZ-camera)提供了一种新颖的路线规划模型,该模型大大减少了扫描整个环境所需的时间。实验结果表明,我们的系统能够在头部检测,面部识别精度和系统可靠性方面提供稳定的性能。我们相信我们的工作展示了尖端学术方法和价格合理的硬件资源的成功集成,为低分辨率人脸识别任务提供了行业解决方案。

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