STC-CAM1,基于红外视觉的智能摄像系统

Muhammad Imran, M. O’nils, Victor Kardeby, H. Munir
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引用次数: 0

摘要

安全关键型应用需要强大的实时监控。对于此类应用,由于光照条件差、遮挡或不同的天气条件,单独的视觉传感器可能会产生假阳性结果。在这项工作中,视觉传感器与红外热传感器相辅相成,使系统在不利情况下更具弹性。在提出的相机架构中,初始数据密集型任务在传感器节点上本地执行,然后压缩数据传输到客户端设备,在那里执行剩余的视觉任务。提出的摄像机架构被证明是一个概念验证,它提供了一个通用的架构,具有更好的监控,同时只在资源受限的设备上执行低复杂度的计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STC-CAM1, IR-visual based smart camera system
Safety-critical applications require robust and real-time surveillance. For such applications, a vision sensor alone can give false positive results because of poor lighting conditions, occlusion, or different weather conditions. In this work, a visual sensor is complemented by an infrared thermal sensor which makes the system more resilient in unfavorable situations. In the proposed camera architecture, initial data intensive tasks are performed locally on the sensor node and then compressed data is transmitted to a client device where remaining vision tasks are performed. The proposed camera architecture is demonstrated as a proof-of-concept and it offers a generic architecture with better surveillance while only performing low complexity computations on the resource constrained devices.
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