Since complete surveillance is essential to provide safe daily life to citizen in smart cities, the issue of how to achieve secure surveillance has been driven by various research communities. Also, due to recent epidemic spread such as COVID-19, it is obvious that we should focus on how to manage a cooperative framework for possible future pandemic fights and allied medical services continuously. To support those purposes, it is anticipated that we can utilize AI-assisted communications and technologies using a variety of devices and equipment, including UAVs, mobile robots, and smart devices on the aerial and ground sides. In this article, an aerial-ground cooperative infrastructure is designed to study surveillance and epidemic prevention with managing energy recharge and AI-supported communications through collected or pre-knowledge information for public and private areas. Also, in the proposed architecture, we specify system settings, promising scenarios, and strategies in order to satisfy several objectives and tasks. Then possible research challenges and issues are addressed for successful realization and management of intelligent surveillance and efficient epidemic prevention.

中文翻译：

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智能天地监控防疫，公私差异化服务


由于完整的监控对于为智慧城市的公民提供安全的日常生活至关重要，因此如何实现安全监控的问题一直是各个研究界所关注的问题。此外，由于最近的流行病（例如COVID-19）的蔓延，显然我们应该关注如何持续管理未来可能的流行病斗争和联合医疗服务的合作框架。为了支持这些目的，预计我们可以利用人工智能辅助通信和技术，使用各种装置和设备，包括无人机、移动机器人以及空中和地面的智能设备。在本文中，设计了一个空地协作基础设施，通过收集或预知公共和私人区域的信息，通过管理能量补充和人工智能支持的通信来研究监视和防疫。此外，在提出的架构中，我们指定了系统设置、有前景的场景和策略，以满足多个目标和任务。然后解决可能的研究挑战和问题，以成功实现和管理智能监控和高效防疫。