Wrinkle Image Analysis for Early Disease Risk Screening

Solution Overview

Problem

There is a need for a convenient method to identify mild symptoms of diseases like cardiovascular disease through wrinkle detection using an artificial neural network, as people often overlook these symptoms in daily life and are reluctant to visit hospitals due to time and cost concerns.

Innovation Solution

A server-based system for diagnosing diseases through wrinkle detection using a skin photography device, an interface control unit, image analysis, and a disease analysis unit that utilizes a convolutional neural network to analyze skin images, determine wrinkle occurrence regions, and calculate disease risk, providing personalized medical advice.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a professional medical examination is performed to diagnose cardiovascular disease, then diagnostic accuracy is improved, but time consumption and cost increase

Engineering Contradiction:

Improvediagnostic accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent uses digital copies of skin images captured by a photography device as substitutes for physical medical examinations. The system analyzes wrinkle patterns from these image copies to diagnose cardiovascular disease, eliminating the need for patients to visit hospitals while maintaining diagnostic capability through automated image analysis algorithms

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical process of physical medical examinations with an automated digital image analysis system. Instead of requiring doctors to physically examine patients, the system uses computational algorithms to analyze wrinkle patterns from photographs, substituting mechanical inspection with digital processing and artificial intelligence

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If a professional medical examination is performed to diagnose cardiovascular disease, then diagnostic accuracy is improved, but cost increases

Engineering Contradiction:

Improvediagnostic accuracyVSAvoidcost

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent uses digital copies of skin images captured by a photography device as substitutes for physical medical examinations. The system analyzes wrinkle patterns from these image copies to diagnose cardiovascular disease, eliminating the need for patients to visit hospitals while maintaining diagnostic capability through automated image analysis algorithms

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent employs inexpensive digital photography devices and automated image analysis algorithms as replaceable, low-cost components. Instead of requiring expensive hospital infrastructure and professional medical personnel for each diagnosis, the system uses affordable digital cameras combined with computational algorithms that can be replicated and deployed at minimal cost

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

3Measurement precision

If skin analysis is performed to detect wrinkles, then disease detection capability is improved, but device complexity increases

Engineering Contradiction:

Improvedisease detection capabilityVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent uses digital copies of skin images captured by a photography device as substitutes for physical medical examinations. The system analyzes wrinkle patterns from these image copies to diagnose cardiovascular disease, eliminating the need for patients to visit hospitals while maintaining diagnostic capability through automated image analysis algorithms

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical process of physical medical examinations with an automated digital image analysis system. Instead of requiring doctors to physically examine patients, the system uses computational algorithms to analyze wrinkle patterns from photographs, substituting mechanical inspection with digital processing and artificial intelligence

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260011004A1Method and device for predicting disease through wrinkle detection

Publication Date: 2026.01.08 LULULAB INC

AI summary

A server for diagnosing a disease of a user through wrinkle detection includes an interface unit for displaying an interface for selecting a photographing objective through a display linked with the server, and acquiring, from the user, an input signal indicating the photographing objective, a photography unit for controlling a skin photography device to capture an image of the skin, an image analysis unit for acquiring the image of the skin from the skin photography device, performing preprocessing on the basis of landmarks based on the image of the skin and determining the skin type and skin characteristics of the user based on the preprocessed image, a disease analysis unit for detecting wrinkles of the user based on the image of the skin, and diagnosing a disease of the user based on the detected wrinkles and a solution provision unit for providing a customized solution according to the diagnosed disease.