通过微服务平台实现分散式智能监控
Decentralized Smart Surveillance through Microservices Platform
摘要：
互联社会需要可靠的措施来确保成员的安全、隐私和保障。自第一代监控摄像机问世以来，公共安全技术已经取得了根本性的进步，其目的是减少观察员代理的作用，以便不会忽视任何异常。虽然边缘计算范例承诺解决云计算的缺点的解决方案，例如，额外的通信延迟和网络安全问题，也带来了新的挑战。其中一个主要问题是边缘计算能力有限，无法满足现场动态数据处理。本文在微服务架构的基础上，提出了一种基于轻量级物联网的智能公共安全（LISPS）框架。LISPS系统作为一种边缘计算层次结构，具有设计过程的高度灵活性、在不中断正常操作的情况下添加新服务或更新现有功能的松耦合性以及高效的功率平衡性。一个真实世界的公共安全监测方案被选中，以验证LISPS的有效性，它检测，跟踪人体物体和识别可疑活动。实验结果证明了该方法的可行性。
英文摘要：
Connected societies require reliable measures to assure the safety, privacy, and security of members. Public safety technology has made fundamental improvements since the first generation of surveillance cameras were introduced, which aims to reduce the role of observer agents so that no abnormality goes unnoticed. While the edge computing paradigm promises solutions to address the shortcomings of cloud computing, e.g., the extra communication delay and network security issues, it also introduces new challenges. One of the main concerns is the limited computing power at the edge to meet the on-site dynamic data processing. In this paper, a Lightweight IoT (Internet of Things) based Smart Public Safety (LISPS) framework is proposed on top of microservices architecture. As a computing hierarchy at the edge, the LISPS system possesses high flexibility in the design process, loose coupling to add new services or update existing functions without interrupting the normal operations, and efficient power balancing. A real-world public safety monitoring scenario is selected to verify the effectiveness of LISPS, which detects, tracks human objects and identify suspicious activities. The experimental results demonstrate the feasibility of the approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
