3D Object Reconstruction via Edge Cloud Computing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing non-5G wireless networks and mobile devices lack the processing bandwidth and power necessary for efficient and quick 3D computer vision applications, leading to excessive battery consumption and heat generation.
Innovation Solution
The system utilizes edge cloud computing resources available in 5G-based wireless networks for real-time 3D object capture and reconstruction, where a sensor device captures depth maps and color images, and an edge cloud computing device generates and updates 3D models, reducing latency and processing load on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If 3D computer vision processing is performed on mobile devices using existing non-5G networks, then processing can be done locally, but the processing speed is too slow and battery consumption is excessive
Solution Approach 1:
The patent introduces edge cloud computing servers as intermediaries between mobile devices and the cloud. These edge servers receive captured images from mobile devices, perform computationally intensive 3D reconstruction processing, and return the reconstructed 3D models. This intermediary architecture enables fast processing speeds comparable to cloud computing while reducing battery consumption by offloading heavy computational tasks from the mobile device.
2Speed
If 3D computer vision processing is performed on mobile devices, then real-time processing can be achieved, but heat generation becomes excessive
Solution Approach 1:
The patent extracts the thermally intensive 3D reconstruction computation from the mobile device and relocates it to edge cloud computing servers. The mobile device retains only the lightweight functions of capturing images and displaying results, while the heavy lifting of processing is performed remotely. This extraction eliminates excessive heat generation on mobile devices while maintaining real-time processing capability through the low-latency 5G connection to edge servers.
3Power
If computationally intensive 3D processing is performed on mobile devices, then processing bandwidth can be utilized, but the devices lack sufficient processing power
Solution Approach 1:
The patent transitions the processing architecture from a single-dimension local processing model to a multi-dimensional distributed architecture. Instead of relying solely on mobile device processors, the system leverages the processing power of edge cloud computing servers located in a different dimensional space (the cloud infrastructure). This dimensional shift provides access to vastly superior processing power while the 5G network bridge maintains real-time communication efficiency.
Data Source
AI summary
Described herein are methods and systems for three-dimensional (3D) object capture and object reconstruction using edge cloud computing resources. A sensor coupled to a mobile device captures (i) depth maps of a physical object, the depth maps including pose information, and (ii) color images of the object. An edge cloud device coupled to the mobile device via a 5G connection receives the depth maps and the color images. The edge cloud device generates a new 3D model of the object based on the depth maps and color images, when a 3D model of the object has not been generated. The edge cloud device updates an existing 3D model of the object based on the depth maps and color images, when a 3D model of the object has previously been generated. The edge cloud device transmits the new 3D model or the updated 3D model to the mobile device.