Intelligent AR Platform for Bandwidth-Constrained Video Conferencing
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Solution Overview
Problem
Current video conferencing technologies face limitations such as high bandwidth requirements, poor image quality over wireless connections, lack of privacy options, and inability to handle language or cultural barriers, leading to inefficient communication.
Innovation Solution
A method and system for providing real-time augmented reality (AR) data by integrating raw data, AR input, and knowledge inputs based on user preferences, system settings, and interactive user controls, using processors and non-transitory computer-readable media to generate AR data that includes visual, audio, and sensor signals, enhancing communication by removing irrelevant data and providing culturally sensitive interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video conferencing technology is used for real-time face-to-face communication, then communication capability is improved, but network bandwidth requirement increases and image quality deteriorates over wireless connections
Solution Approach 1:
The patent extracts and removes unnecessary data elements from video conferencing streams, keeping only essential visual and audio information. This reduction in data volume decreases bandwidth requirements while preserving core communication functionality.
Solution Approach 2:
Instead of transmitting complete high-quality video streams and relying on network compression, the patent inverts the approach by selectively capturing and transmitting only essential data elements from the outset, eliminating the need for heavy network compression that degrades image quality.
2Loss of time
If traditional video conferencing system is used, then real-time communication is achieved, but privacy protection is compromised as users cannot stay anonymous
Solution Approach 1:
The patent introduces virtual avatars as intermediary representations that mediate between users and the communication interface. These avatars protect user identity and privacy while enabling real-time interaction, allowing users to communicate without exposing their actual appearance or environment.
Solution Approach 2:
The patent creates simplified copy representations (virtual avatars) of users instead of transmitting actual video feeds. These copies preserve communication functionality while eliminating privacy exposure, as the avatars are stylized or anonymized representations rather than realistic images.
3Loss of information
If current augmentation systems overlay different forms of data, then data presentation is achieved, but the results are crude and completely irrelevant to users due to lack of real-time data understanding
Solution Approach 1:
The patent performs preliminary analysis and understanding of data elements before overlaying them. By pre-processing and contextualizing data in advance, the system ensures that only relevant, well-understood information is presented to users, eliminating crude and irrelevant augmentations.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor user interactions and contextual information. This feedback loop enables the system to adaptively adjust data augmentation in real-time, ensuring that presented information remains relevant and useful rather than static and potentially irrelevant.
Data Source
AI summary
Systems, remote servers, devices, and methods for an intelligent augmented reality (IAR) platform-based communications are disclosed. During a communication, real-time audio, video and/or sensor data are captured in real-time; and scene analysis and data analytics are also performed in real-time to extract information from raw data. The extracted information can be further analyzed to provide knowledge. Real-time AR data can be generated by integrating the raw data, AR input data, information input, and knowledge input, based on one or more criteria comprising a user preference, a system setting, an integration parameter, a characteristic of an object or a scene of the raw data, an interactive user control, or a combination thereof. In some embodiments, information and knowledge can be obtained by incorporating Big Data in the analysis.