Dynamic 3D Viewing System with Adaptive Transmission
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Solution Overview
Problem
Current systems lack the ability to generate and transmit dynamic 3D models of scenes or actions in real time with minimal manual labor, adapt to varying device resolutions and network bandwidths, and enable users to view from different angles, while also incorporating object annotations and metrics, and 3D printing capabilities.
Innovation Solution
A dynamic angle viewing system that uses multiple depth and color sensors to create a 3D environment, synchronizes and transforms data into a dynamic 3D model, and transmits it to devices for rendering from any angle, with adaptive transmission based on device capabilities and connection characteristics, allowing for 3D printing of objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If virtual reality content is generated using known systems, then 3D models can be rendered from different angles, but the generation process is time-consuming and labor-intensive
Solution Approach 1:
The system creates a digital twin or 3D replica of the physical scene using depth sensors and image processing. This digital model can then be viewed from any angle without requiring physical reconstruction or manual 3D modeling, significantly reducing time and labor while maintaining the ability to view from different perspectives.
Solution Approach 2:
The patent replaces manual 3D modeling operations with automated computer vision algorithms that process depth sensor data and images to generate 3D models automatically. This substitution of mechanical/manual processes with automated computational methods eliminates the time-consuming and labor-intensive nature of traditional 3D content creation.
2Adaptability or versatility
If 3D models are transmitted to multiple devices with varying resolutions and bandwidths, then compatibility is improved, but system complexity increases
Solution Approach 1:
The system dynamically adjusts the transmission quality, resolution, and data format of 3D models based on the receiving device's capabilities and network conditions. This dynamic adaptation allows the same system to serve multiple device types without requiring complex manual configuration for each device, as the system automatically optimizes transmission parameters.
Solution Approach 2:
The patent changes transmission parameters such as model fidelity, resolution, and data compression level according to the target device's resolution and network bandwidth. By automatically adjusting these parameters, the system achieves broad device compatibility without requiring a fundamentally complex multi-system architecture.
3Speed
If real-time 3D model generation is implemented, then responsiveness is improved, but processing requirements increase
Solution Approach 1:
The system segments the 3D model generation process into distinct computational stages: depth map extraction from sensors, point cloud generation, mesh construction, and texture mapping. By dividing the processing into segments, the system can optimize each stage independently and process frames in real-time without requiring excessive peak processing power for the entire pipeline simultaneously.
Data Source
AI summary
A system that generates a 3D environment from data collected by depth sensors (such as LIDAR) and color sensors (such as color video camera data) observing an area or activity, transmits versions of the 3D environment to various devices for display, and enables device users to dynamically alter a viewing angle of the 3D environment. The version of the 3D environment sent to each device may be optimized for the device's resolution and for the bandwidth of the connection to the device. Embodiments may enrich the 3D environment by detecting and tagging objects and their locations in the environment, and by calculating metrics related to motion or actions of these objects. Object tags and metrics may be transmitted to devices and displayed for example as overlays of images rendered from user-selected viewing angles. Embodiments of the system also enable 3D printing of an object as a memento for example.