Facial Skin Monitoring With AI Image Quality Feedback
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Solution Overview
Problem
Current methods for diagnosing acne are labor-intensive, costly, and prone to inaccuracies, leading to missed treatments and potential psychological and social issues due to lack of awareness and knowledge about lesion severity and timing.
Innovation Solution
A method using a portable device with an image quality check model and AI to automatically capture, combine, and analyze facial images, providing real-time acne lesion recognition, counting, and classification, generating an inspection report.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification and counting of acne lesions is conducted by dermatologists, then clinical diagnosis can be performed, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the mechanical manual counting process with an automated image processing system using deep learning algorithms. The system captures facial images and automatically identifies, counts, and classifies acne lesions through computer vision technology, eliminating the need for manual mechanical counting while maintaining high accuracy.
Solution Approach 2:
The patent creates a digital copy of the patient's facial skin condition through high-resolution imaging. This digital replica allows for automated analysis, storage, and comparison over time, replacing the need for repeated manual examinations while preserving accurate lesion information for ongoing monitoring.
2Measurement precision
If professional skin medical equipment is used for accurate counting, then measurement precision is improved, but the cost increases and specialist operation is required
Solution Approach 1:
The patent employs standard smartphone cameras instead of expensive professional medical imaging equipment. The approach uses readily available, inexpensive devices to capture facial images, processing them through software algorithms to achieve professional-grade accuracy without requiring costly specialized hardware.
Solution Approach 2:
The patent makes acne monitoring accessible through universal devices like smartphones that most people already own. The system is designed to work with standard camera equipment, eliminating the need for specialized medical devices and making the technology universally applicable in both clinical and home settings.
3Loss of information
If manual acne monitoring is performed, then clinical assessment is obtained, but patient awareness of symptom severity is reduced
Solution Approach 1:
The patent implements an automated feedback mechanism that provides patients with immediate visual and numerical information about their acne lesion count and severity. The system generates reports showing the number and types of lesions detected, enabling patients to understand the seriousness of their condition without requiring manual assessment, thereby increasing awareness while maintaining convenience.
Data Source
AI summary
In a monitoring method of facial skin condition, facial pictures are taken at multiple orientations of the face with a portable information device to produce face images. A quality check of the face images is conducted with an image quality check model. An instruction to take a new facial picture for replacing a corresponding face image failing in the quality check is automatically given. Repeat the steps of taking facial pictures and conducting the quality check until a required number of qualified face images are collected, and then automatically combine the collected qualified face images into a planar panoramic face image and automatically conducting a recognition process, a counting process and a classifying process of skin lesions of the patient based on the planar panoramic face image to generate a data file. An AI model is used to interpret and analyze contents of the data file to produce an inspection report of the facial skin condition.