Dual Recognition Module for Response Time-Based Control
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Solution Overview
Problem
Electronic devices face limitations in processing user inputs due to communication states and load states with external AI devices, leading to delayed or failed responses, especially when multiple devices request analysis simultaneously.
Innovation Solution
An electronic device employs a dual recognition module system, where a high-speed, low-accuracy module processes user inputs locally and transmits them to a high-accuracy, low-speed external module for analysis, selecting control data based on response time to ensure timely functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user input is analyzed using AI in an external electronic device, then analysis accuracy is improved, but response time deteriorates due to communication state and load state limitations
Solution Approach 1:
The patent divides the AI analysis function into two segments: a local recognition module for rapid processing and an external electronic device for accurate analysis. This segmentation allows the system to handle different types of user inputs appropriately - simple inputs are processed locally for speed, while complex inputs are sent externally for accuracy, resolving the contradiction between response time and analysis accuracy.
Solution Approach 2:
The patent changes the parameter of analysis location based on input characteristics and system state. When communication state is poor or external device is overloaded, the system switches from external analysis to local analysis, effectively changing the operational parameter to maintain both accuracy and response time under varying conditions.
2Adaptability or versatility
If AI analysis is performed on user input, then functional capability is improved, but reliability deteriorates when communication state is poor or external device is overloaded
Solution Approach 1:
The patent implements preliminary action by having the local recognition module ready to process user inputs immediately. When the external electronic device is unavailable or unresponsive, the local module can still provide functional responses, ensuring reliability while maintaining the capability to perform AI analysis through the external device when conditions permit.
Solution Approach 2:
The local recognition module acts as an intermediary between the user input and the external electronic device. It can independently process inputs or forward them to the external device, serving as a buffer that maintains system reliability even when the external device is unreachable or overloaded.
3Device complexity
If a single AI module is used for all user inputs, then device complexity is reduced, but productivity deteriorates due to inability to handle multiple simultaneous requests
Solution Approach 1:
The patent segments the AI processing capability into a local module and an external device, allowing parallel processing of user inputs. The local module handles simple inputs immediately while the external device processes complex inputs, effectively doubling the system's processing throughput without significantly increasing overall system complexity.
Solution Approach 2:
The local recognition module performs partial AI analysis for simple user inputs, avoiding the need to send all inputs to the external device. This partial action approach increases productivity by handling routine tasks locally while reserving external resources for complex analyses that require additional computational power.
Data Source
Figure 1~2A
Figure 2B
Figure 3
AI summary
An electronic device is configured to: receive an input; generate first control data for controlling at least one application among one or more applications using a first recognition method based at least on the input; transmit at least part of the input to external electronic device through a communication module, wherein the external electronic device is configured to generate second control data for controlling the at least one application using a second recognition method based at least on the input; identify a time that passes until the second control data is received after the at least part of the input is transmitted to the external electronic device; control the at least one application using the first control data based on the passing time satisfying a first predefined condition; and control the at least one application using the second control data based on the passing time satisfying a second predefined condition.