Point Cloud Streaming

Point cloud streaming refers to the live or near-live transmission of three-dimensional point cloud data over a network, allowing users to interact with or visualise large 3D datasets remotely without downloading them in full. This technique enables efficient access to spatial information even in environments with limited local computing power or storage capacity, such as mobile devices or browser-based applications.

In point cloud streaming, data is typically transferred in chunks or levels of detail (LoD), depending on the user’s viewport, zoom level, or interaction. This approach, often called selective or adaptive streaming, minimises latency and bandwidth usage. Technologies like Azure Remote Rendering, Potree, and Entwine implement such methods to support large-scale model visualisation in real time.

Point cloud streaming enables dynamic rendering workflows where updates, annotations, or measurements can be made collaboratively across distributed teams. In architecture, engineering, and construction (AEC), this is especially valuable for site monitoring, digital twin updates, and reviewing progress across stakeholders in real time.

Applications

• Drone and mobile mapping data visualisation
• Remote construction site monitoring
• Real-time 3D visualisation in web browsers
• Collaborative BIM or digital twin workflows
• Augmented and virtual reality solutions

See also: Point Cloud, Point Cloud Formats