Real-time crowd management systems play an important role in urban planning, disaster warning, and emergency evacuation. For example, through closed-circuit television (CCTV) cameras and artificial intelligence (AI) algorithms, crowd counting and abnormal event recognition can be realized. However, most of these applications are limited within the 2D coordinate system of each single camera, lacking a unified understanding of the 3D world as a whole. In addition, overly simple functionalities, such as framing certain areas or displaying text, limit the system intelligence and user experience. This article proposes a solution of realtime 3D visualization of outdoor scenes enabled by AI and the Visual Internet of Things (V-IoT). First, fixed and airborne cameras, infrared cameras, LiDAR, gas sensors, and so on are deployed to collect multi-modal data and send them to the clouds. Then AI algorithms are executed in the clouds to calculate the location of people, vehicles, and other moving objects, and to detect fights, stampedes, fire, or other abnormal events. Finally, the clouds send the AI algorithm results to the visualization system in terminal devices. The system displays the scene in real time through 3D animation and charts, and provides user interaction interfaces and simulation functionalities in a gamification environment. Experiments show that the proposed solution realistically visualizes the real world to sup-nort the user's decision.

中文翻译：

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支持智能视觉物联网的实时 3D 可视化，用于自主人群管理


实时人群管理系统在城市规划、灾害预警和紧急疏散中发挥着重要作用。例如，通过闭路电视（CCTV）摄像机和人工智能（AI）算法，可以实现人群计数和异常事件识别。然而，这些应用大多数都局限于每个单个相机的 2D 坐标系内，缺乏对整个 3D 世界的统一理解。此外，过于简单的功能，例如框定某些区域或显示文本，限制了系统智能和用户体验。本文提出了一种通过人工智能和视觉物联网 (V-IoT) 实现室外场景实时 3D 可视化的解决方案。首先，部署固定和机载摄像机、红外摄像机、激光雷达、气体传感器等，收集多模态数据并将其发送到云端。然后，人工智能算法在云端执行，计算人、车辆和其他移动物体的位置，并检测打架、踩踏、火灾或其他异常事件。最后，云端将AI算法结果发送至终端设备中的可视化系统。该系统通过3D动画和图表实时显示场景，并在游戏化环境中提供用户交互界面和模拟功能。实验表明，所提出的解决方案真实地可视化了现实世界，以支持用户的决策。