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Reaserch and implementation of social distancing monitoring technology based on SSD

机译:基于SSD的社会疏散监测技术的研究与实现

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In the fight against the Covid-19, social distancing has proven to be a very effective measure to mitigate the spread of the disease. As resumption of work, production and classes accelerates, it is necessary to limit people’s social distance to reduce the rate of the virus spread. To solve this problem, a method for monitoring social distancing based on SSD object detection technology is proposed in this study. This method utilizes SSD300 model to detect people in a video or picture, and labels a Red Line as warning on the people whose distances are less than the default one, implementing real-time social distancing monitoring, and the mAP reaches 88.44%.
机译:在反对Covid-19的斗争中,社会疏散已被证明是减轻疾病传播的非常有效的措施。由于恢复工作,生产和课程加速,有必要限制人们的社会距离,以降低病毒传播的速度。为了解决这个问题,在本研究中提出了一种基于SSD对象检测技术监视社会疏散的方法。该方法利用SSD300模型来检测视频或图片中的人员,并将红线标记为对距离小于默认的人的警告,实现实时社交偏移监控,地图达到88.44%。

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