An outbreak of the coronavirus disease which occurred three years later and it has hit the world again with many evolutions. The effects on the human race have already been profound. We can only safeguard ourselves against this pandemic by mandating a "Face Mask" also maintaining the "Social Distancing." The necessity of protective face masks in all gatherings is required by many civil institutions in India. As a result of the substantial human resource utilization, personally examining the whole country with a huge population like India, to determine whether the execution of mask wearing and social distance maintained is unfeasible. The COVID-19 Social Distancing Detector System is a single-stage detector that employs deep learning to integrate high-end semantic data to a CNN module in order to maintain social distances and simultaneously monitor violations within a specified region. By deploying current Security footages, CCTV cameras, and computer vision (CV), it will also be able to identify those who are experiencing the calamity of social separation. Providing tools for safety and security, this technology disposes the need for a labor-force based surveillance system, yet a manual governing body is still required to monitor, track, and inform on the violations that are committed. Any sort of infrastructure, including universities, hospitals, offices of the government, schools, and building sites, can employ the technology. Therefore, the risk management system created to report and analyze video streams along with the social distance detector system might help to ensure our protection and security as well as the security of our loved ones. Furthermore, we will discuss about deployment and improvement of the project overall.
翻译:一场发生在三年后且已经进化多次的冠状病毒疾病爆发又再次袭击了人类社会,对人类已经造成了极大的影响。唯有通过强制佩戴口罩和保持社交距离,我们才能保护自己免受大流行病的侵害。在印度,许多公共机构也要求在聚会中强制佩戴口罩以实现保护。然而,考虑到庞大的人力资源的利用,对于像印度这样的人口众多的国家,手动检查是否执行口罩佩戴和社交距离的限制是不现实的。
COVID-19社交距离检测器系统是一个单级检测器,它利用深度学习将高端的语义数据集成到CNN模块中,以维护社交距离并同时监测指定区域内的违规情况。通过部署当前的安全摄像头、闭路电视摄像头和计算机视觉(CV)技术,它还能够识别那些正在遭受社交分离的人。这项技术提供了安全与保护的工具,消除了劳动力基础的监控系统的需求,但仍需要人工管理机构来监测、跟踪和报告违规行为。任何类型的基础设施,包括大学、医院、政府办公室、学校和建筑工地,都可以采用该技术。因此,用于报告和分析视频流以及社交距离检测系统的风险管理系统有可能有助于确保我们的安全和保护以及我们的亲友的安全。此外,我们还将讨论该项目的部署和改进。