Local AI Information Processing for 5G Control Privacy
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Solution Overview
Problem
Current information processing methods in 5G communication environments struggle to accurately generate and process sentences to control objects using multiple input channels, such as speech and image data, while maintaining user privacy and efficiency.
Innovation Solution
An information processing method and apparatus that analyzes and supplements input information from various channels to generate complete sentences for controlling objects, using image and utterance data to identify subjects and objects, and generate control commands, while preventing sensitive information from being leaked to market-dominant natural language processing services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple input channels (speech, image) are used to generate control sentences, then accuracy of user intention reflection is improved, but system complexity increases
Solution Approach 1:
The system segments the complex multi-channel processing into distinct functional modules: an obtaining unit that collects data from multiple channels, a generating unit that creates control sentences, and a controlling unit that executes commands. This modular segmentation manages system complexity while maintaining high accuracy in reflecting user intentions through multi-channel input integration.
Solution Approach 2:
The system introduces an intermediary processing layer that receives raw data from multiple input channels (speech, image), processes and integrates this information, and generates standardized control sentences. This intermediary layer acts as a mediator between diverse input sources and the control execution system, managing complexity while preserving accuracy.
2Adaptability or versatility
If personalization is implemented by identifying controlling subject and controlled object, then service quality is improved, but processing time increases
Solution Approach 1:
The system performs preliminary identification of the controlling subject and controlled object from image information before sentence generation. By pre-identifying these elements and assigning identification information, the system prepares personalized context in advance, enabling quick generation of personalized control sentences without significant processing time penalty.
Solution Approach 2:
The system dynamically changes parameters such as identification information assignment and control command selection based on the identified controlling subject and controlled object. This parameter adaptation enables personalized services while maintaining efficient processing by adjusting only necessary parameters rather than reprocessing entire input data.
3Reliability
If data is processed locally without external NLP services, then user privacy is protected, but processing capability is reduced
Solution Approach 1:
The system implements self-service by performing all natural language processing, sentence generation, and control command extraction locally within the electronic device. The obtaining unit, generating unit, and controlling unit work together to process multi-channel input data and generate control sentences without requiring external NLP services, thereby protecting user privacy while maintaining adequate processing capability through integrated local processing.
Data Source
AI summary
Disclosed are an information processing method and apparatus therefor capable of controlling electronic device in a 5G communication environment by processing information through execution of a stored artificial intelligence (AI) algorithm or machine learning algorithm. An information processing method according to the present disclosure may include generating a sentence to control a controlled object by analyzing and supplementing input information obtained through various channels; and controlling the controlled object with a control command included in the sentence. According to the information processing apparatus according to the present disclosure, since the sentence to control the controlled object may be generated without leaking the utterance and image information obtained through the various input channels to a market-dominant natural language processing service enterprise, it is possible to protect a user's privacy.