The automation strategy of today’s smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights. Although there have been recent reviews in this field, there is a remarkable gap that addresses four sides of the problem. Namely, the application of video surveillance in smart cities, algorithms, datasets, and embedded systems. In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced. Moreover, future trends and challenges are addressed.

中文翻译：

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边缘设备，应用程序，数据集和未来趋势

当今智慧城市的自动化策略依赖于大型物联网（物联网）系统，该系统收集大数据分析以获取见解。尽管最近对此领域进行了评论，但仍存在明显的差距，可以解决该问题的四个方面。即，视频监控在智能城市，算法，数据集和嵌入式系统中的应用。在本文中，我们讨论了使用的最新数据集，使用的算法以及嵌入式系统中形成边缘视觉计算的最新进展。此外，解决了未来的趋势和挑战。