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：三年前爆发的新型冠状病毒疫情，经过多次变异再次席卷全球。这场疫情对人类产生了深远影响。我们只能通过强制佩戴口罩并保持"社交距离"来抵御这场大流行。印度许多民间机构要求在所有聚集场合必须佩戴防护口罩。由于需要大量人力资源，在印度这样人口庞大的国家逐一检查口罩佩戴和社交距离执行情况是不切实际的。COVID-19社交距离检测系统采用单阶段检测器，通过深度学习将高级语义数据集成至CNN模块，以维持社交距离并同时监测指定区域内的违规行为。通过利用现有的监控录像、闭路电视摄像机和计算机视觉技术，该系统还能识别正在经历社交隔离困境的人员。该技术提供安全保障工具，消除了对人工监控系统的依赖，但仍需人工管理机构来监督、追踪和报告违规行为。任何基础设施，包括大学、医院、政府办公机构、学校及建筑工地，均可采用此技术。因此，结合社交距离检测系统所构建的报告与分析视频流的风险管理系统，有助于保障我们自身及所爱之人的安全。此外，我们还将讨论该项目的部署与优化方案。