AR Content Generator Mapping for Low-Latency Product Rendering
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Solution Overview
Problem
Existing systems face challenges in providing augmented reality experiences for physical products due to computational intensity and inefficiencies in processing and rendering augmented reality content, leading to lag and dropped frames.
Innovation Solution
A messaging system that leverages server resources to process and render augmented reality content, utilizing image processing techniques to identify products through barcodes and provide immersive AR experiences, reducing latency and enhancing user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If augmented reality content is processed and rendered on client devices, then user interaction and immersion are enhanced, but computational intensity increases causing lag and dropped frames
Solution Approach 1:
The patent divides the AR processing workload into two segments: content generation on the server and content rendering on the client device. The server generates AR content by processing product images and metadata, then transmits the generated content to the client device for rendering. This segmentation reduces the computational burden on the client device, preventing lag and dropped frames while maintaining smooth AR display performance.
2Loss of time
If server resources are utilized to process and render augmented reality content, then latency is reduced, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary AR content generator service on the server that acts as a mediator between the product database and the client device. This service receives product information, generates appropriate AR content based on product characteristics, and transmits it to the client. This intermediary approach reduces latency by pre-processing content on the server while managing system complexity through a dedicated service layer that handles the complexity centrally rather than distributing it across multiple components.
Data Source
AI summary
The subject technology requests a group identifier (ID) based on an item identification indicator to an extension application programming interface (API). The subject technology requests, using the extension API, a set of augmented reality (AR) content generator IDs, based on the item identification indicator, to a shopping AR content generator service. The subject technology receives the set of AR content generator IDs based on a mapping of the item identification indicator to a collection of AR content generator IDs. The subject technology requests, using the extension API, first metadata associated with the set of AR content generators and the item identification indicator to the shopping AR content generator service. The subject technology requests, using the extension API, a set of products based on the first metadata. The subject technology generates, using the extension API, a group ID based on the set of products. The subject technology receives the group ID.


