AI Apparatus for AR-Based Device Manual Generation
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Solution Overview
Problem
Current AI systems face challenges in providing accurate and reliable user manuals for diagnosing device abnormalities, leading to user inconvenience due to inaccurate or unreliable guide information, especially when users inquire about product functions or malfunctions.
Innovation Solution
An AI apparatus that analyzes user inquiries to set a diagnosis range for a target device, performs a diagnosis using image and sensor data, and generates an augmented reality-based user manual for the diagnosis result, improving user convenience and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional guide information is provided to users for product malfunction diagnosis, then users can obtain basic troubleshooting information, but the accuracy and reliability of the guide information is reduced and users may not understand the provided information
Solution Approach 1:
The patent replaces traditional text-based manual consultation with an AI-based diagnostic system that automatically analyzes device malfunctions through sensor data and user inputs. The system substitutes mechanical information retrieval with intelligent diagnosis, generating accurate troubleshooting guides tailored to specific device states, thereby improving both accuracy and user comprehension.
Solution Approach 2:
The system enables users to obtain accurate diagnostic information without needing to understand complex technical manuals. The AI apparatus automatically analyzes device data, identifies malfunctions, and provides simplified troubleshooting steps, allowing users to self-diagnose issues without requiring deep technical knowledge or extensive manual reading.
2Adaptability or versatility
If comprehensive guide information is provided to cover all possible malfunctions, then users can find relevant troubleshooting steps, but the vast amount of information makes it inconvenient for users to find only the desired guide information
Solution Approach 1:
The AI system extracts only the relevant troubleshooting information needed for the specific malfunction detected, rather than presenting users with comprehensive manuals covering all possible issues. The system filters and extracts precise diagnostic data based on sensor readings and user inputs, delivering targeted guidance that eliminates the need for users to search through vast amounts of unrelated information.
Solution Approach 2:
The troubleshooting information is segmented and organized based on specific malfunction types detected by the AI system. Instead of presenting a single comprehensive manual, the system divides diagnostic information into targeted segments corresponding to actual device issues, allowing users to receive only the relevant troubleshooting steps for their specific problem without wading through unnecessary content.
3Reliability
If AI diagnosis is performed on the entire target device, then comprehensive abnormality detection is achieved, but the complexity of the diagnosis process increases
Solution Approach 1:
The AI diagnosis process is segmented into modular components that analyze different aspects of device malfunction independently. The system divides the diagnostic task into separate analysis stages handling different sensor data types and malfunction categories, making the overall complex diagnosis process more manageable and systematic while maintaining comprehensive coverage of potential abnormalities.
Data Source
AI summary
The present disclosure relates to an artificial intelligence apparatus capable of providing a user manual corresponding to an abnormality diagnosis by diagnosing an abnormality of a target device inquired by a user, and a method for providing a target device manual thereof, and may be configured to, when receiving a user inquiry from the user terminal through the communication unit, analyze the user inquiry to set a diagnosis range of a target device, perform a diagnosis corresponding to the user inquiry within the set diagnosis range of the target device, generate a user manual for the performed diagnosis result, and control the communication unit to transmit the generated a user manual to the user terminal.