AI Scalp Management Server for Hair Loss Prediction
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Solution Overview
Problem
Current methods for diagnosing and treating hair loss are inaccurate due to reliance on visual examination of the scalp, making it difficult to provide personalized and effective care, especially for conditions like alopecia areata and telogen hair loss.
Innovation Solution
An AI-based scalp management service provision server and device that analyze scalp images to diagnose scalp and hair conditions, predict hair loss progression, and provide personalized care recommendations, including remote control of scalp care devices for optimal treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual diagnosis by doctor is used, then device complexity is low, but measurement precision of hair loss area is insufficient
Solution Approach 1:
The patent replaces the mechanical visual diagnosis method with an AI-based image analysis system. The AI model automatically processes scalp images to identify hair loss areas, replacing the doctor's visual examination with computational analysis, thereby improving measurement precision while managing system complexity through automated processing
Solution Approach 2:
The patent introduces an AI model as an intermediary between the scalp image and the diagnosis result. The AI model processes the image data and provides objective measurements of hair loss area, serving as a mediator that enhances measurement precision without requiring direct complex manual analysis
2Measurement precision
If AI-based analysis is used, then measurement precision of scalp and hair conditions is improved, but device complexity increases
Solution Approach 1:
The patent segments the analysis system into distinct functional modules: scalp condition diagnosis unit, hair condition diagnosis unit, and hair loss diagnosis unit. Each module handles specific aspects of analysis independently, which improves measurement precision for different parameters while managing overall system complexity through modular architecture
Solution Approach 2:
The AI-based diagnosis server performs multiple functions including scalp condition analysis, hair condition analysis, and hair loss progression prediction using a unified system. This multi-functionality approach improves comprehensive measurement precision while avoiding the need for separate specialized systems for each function
3Adaptability or versatility
If personalized care recommendations are provided, then adaptability to individual conditions is improved, but loss of information about treatment effectiveness is increased
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors scalp images and compares them with previous results. The hair loss diagnosis unit provides feedback by predicting future hair loss progression based on current conditions and treatment responses, enabling personalized care adaptability while maintaining information about treatment effectiveness through ongoing comparison
Solution Approach 2:
The system performs preliminary analysis by predicting future hair loss progression before final treatment decisions are made. The hair loss diagnosis unit provides prediction simulations that help plan personalized care strategies in advance, allowing adaptability to individual conditions while preserving information about expected treatment outcomes
Data Source
AI summary
In accordance with various embodiments, provided is a scalp management service provision server for providing a hair loss prevention service and scalp care service for a user, including: a DB management unit interlocked with the scalp management service provision server and configured to obtain a scalp image of the user from a scalp care device including a camera; a scalp condition diagnosis unit configured to determine a scalp condition of the user based on the obtained scalp image; a hair condition diagnosis unit configured to determine a hair condition of the user based on the obtained scalp image; a hair loss diagnosis unit configured to provide a current hair loss progress degree of the user and a hair loss prediction simulation of the user based on the scalp condition and the hair condition; a scalp care solution provision unit configured to provide information about a scalp analysis result and hair analysis result of the user through a user terminal of the user and to determine a scalp care product for the user from among a number of scalp care products included in a scalp care product DB; and a remote care device control unit configured to remotely control the scalp care device with a control value determined according to the scalp analysis result and hair analysis result of the user.