AI Visualizing Electric Toothbrush for Targeted Oral Cleaning
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Solution Overview
Problem
Current electric toothbrushes lack the ability to collect and analyze oral health status and provide targeted cleaning services based on individual needs, resulting in suboptimal cleaning effects and user engagement.
Innovation Solution
An oral health management system utilizing artificial intelligence image recognition, which includes an intelligent electric toothbrush and a server that captures oral images, determines their validity, and adjusts brushing parameters such as duration and vibration frequency based on recognition results from object detection and convolutional neural networks for personalized cleaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If electric toothbrushes use standard cleaning functions without AI image recognition, then the device complexity remains low, but the ability to collect and analyze oral health status and provide targeted cleaning services is insufficient
Solution Approach 1:
The patent introduces an intermediary AI image recognition system that captures oral images, analyzes them to detect dental issues, and uses this information to adjust brushing parameters. This intermediary system bridges the gap between simple cleaning and personalized oral care, allowing the toothbrush to adapt to individual oral health conditions without requiring complex integrated diagnostics
Solution Approach 2:
The system implements feedback loops where oral images are continuously captured during brushing, analyzed for dental conditions, and the results are used to dynamically adjust brushing parameters. This closed-loop feedback enables the toothbrush to respond to real-time oral health status and provide targeted cleaning services
2Measurement precision
If the system captures and processes oral images for AI recognition, then accurate oral health information is obtained, but the difficulty of detecting and measuring oral conditions increases
Solution Approach 1:
The patent replaces manual dental inspection with automated AI image recognition technology. The system uses image capture and processing algorithms to automatically detect and measure oral conditions, substituting complex manual detection with automated computational analysis that achieves high precision without increasing operational difficulty
Solution Approach 2:
The system creates digital copies of oral conditions through image capture, allowing the AI system to analyze and measure dental issues from these copies rather than requiring direct physical inspection. This copying approach enables accurate measurement of oral health status while simplifying the detection process
3Productivity
If the toothbrush provides multiple functions including image capture and AI analysis, then user engagement and motivation improve, but the loss of time for image processing and analysis increases
Solution Approach 1:
The system implements periodic image capture during brushing intervals rather than continuous processing. Images are captured at specific moments during the brushing routine, allowing parallel processing of oral health analysis while maintaining cleaning effectiveness, thus reducing time loss while improving user engagement
Data Source
AI summary
An oral health management system based on artificial intelligence image recognition to adjust the electric toothbrush includes an intelligent electric toothbrush and a server. The intelligent electric toothbrush has an image acquisition unit, an image judgment unit, a first communication unit, a positioning unit, a main control unit, a motor drive unit and a voice playback unit. The server has a recognition unit, a second communication unit and a parameter determination unit. The parameter determination unit is set on the intelligent electric toothbrush or server to determine the corresponding teeth cleaning parameters for different oral areas based on the recognition results. The system obtains a user's oral image and performs recognition and analysis, and then selects tooth cleaning parameters based on the recognition and analysis results to provide targeted oral cleaning services for the user.