Messaging System AR Color Palettes With Server-Side Processing
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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 AR content, leading to lag and dropped frames.
Innovation Solution
A messaging system that leverages server resources to process and render AR content, combined with client-side rendering, reduces latency and enhances the immersive experience by efficiently handling image processing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If AR content is processed and rendered using client-side resources only, then device autonomy is maintained, but processing speed and frame rendering quality deteriorate due to computational limitations
Solution Approach 1:
The system divides AR processing into two segments: computationally intensive tasks (image processing, AR content generation) are handled by server-side resources, while lighter tasks (display rendering, user interaction) are handled by client-side devices. This segmentation allows high-speed processing without requiring every client device to have complex processing capabilities.
Solution Approach 2:
A messaging system acts as an intermediary between the client device and server resources. The messaging system transmits images to be processed, receives generated AR content, and manages the communication protocol, enabling distributed processing without direct client-server complexity.
2Reliability
If more computational resources are allocated to AR processing, then rendering quality improves, but energy consumption and processing time increase
Solution Approach 1:
The messaging system serves as an intermediary that manages resource allocation between client devices and server infrastructure. By offloading intensive AR processing to servers with dedicated computational resources, the system achieves reliable frame rendering without requiring high energy consumption from mobile client devices.
3Productivity
If AR content is generated in real-time on client devices, then responsiveness is maintained, but frame drops and latency increase due to computational bottlenecks
Solution Approach 1:
The system segments the AR content generation pipeline: server-side components handle intensive image processing and AR object generation (reducing client processing time), while client-side components handle timely display rendering and interaction. This segmentation reduces processing latency while maintaining overall productivity.
Solution Approach 2:
The system performs preliminary processing of images and AR content generation on server-side resources before transmission to client devices. This preliminary action reduces the computational burden on clients during real-time interaction, minimizing latency while maintaining high content generation efficiency.
Data Source
AI summary
The subject technology receives image data including a representation of a physical item. The subject technology analyzes the image data to determine an object corresponding to the physical item. The subject technology identifies a set of colors corresponding to a set of regions of the determined object. The subject technology analyzes second image data to detect a second object corresponding to a representation of a particular body part of a user. The subject technology generates augmented reality content based at least in part on the identified set of colors and the detected second object. The subject technology causes display, at a client device, the augmented reality content applied to the detected second object.