Facial Recognition Breathing Mask Matching System
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Solution Overview
Problem
Existing breathing masks lack efficient methods for users to select the appropriate size and type without physical try-on, leading to poor fit, reduced compliance during therapy, and increased risk of infection.
Innovation Solution
A facial recognition-based breathing mask matching method and system that determines the suitable breathing mask type for a user based on their basic information, collects facial and head information, establishes a breathing mask model, and matches it with the database to select the most suitable mask.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users physically try on breathing masks to select the appropriate size and type, then the fit and comfort can be directly experienced, but this increases the risk of infection and creates spatial and temporal limitations
Solution Approach 1:
The patent creates a virtual 3D model of the user's face by capturing facial feature points through camera imaging and processing the data to generate a digital replica. This virtual model is then used to match with breathing mask models, allowing users to try on masks virtually without physical contact, thus eliminating infection risk while maintaining fit accuracy through precise 3D reconstruction and matching algorithms.
2Reliability
If users physically try on breathing masks multiple times to find the right fit, then the most suitable mask can be selected, but this consumes time and is constrained by spatial availability
Solution Approach 1:
The patent performs preliminary actions by capturing facial data once and generating a 3D virtual model in advance. This model is then used for matching with multiple breathing mask options without requiring repeated physical try-ons. The system pre-processes the facial geometry, extracts key feature points, and creates a reusable digital representation that can be quickly compared against various mask designs, significantly reducing the time required for mask selection.
3Ease of operation
If a standardized breathing mask database is used for matching, then the selection process can be simplified, but it may not accommodate individual facial variations and special conditions
Solution Approach 1:
The patent applies local quality by differentiating the treatment of various facial regions. The system identifies and weights different facial feature points (nose, cheeks, chin, forehead) according to their importance for mask fit. It also considers local conditions such as facial hair, wounds, or anatomical variations by detecting specific features and adjusting the matching criteria accordingly. This allows the standardized database to be adapted to individual facial characteristics, maintaining both operational simplicity and high adaptability.
Data Source
AI summary
A facial recognition-based breathing mask matching method and a facial recognition-based breathing mask matching system are disclosed. The facial recognition-based breathing mask matching method includes determining a breathing mask type suitable for a user according to basic information of the user, collecting facial information and head information of the user according to the breathing mask type suitable for the user, establishing a breathing mask model according to collected facial information and collected head information of the user, and matching a modeling result with breathing masks in a breathing mask database to select the most suitable breathing mask for the user. By adopting the facial recognition-based breathing mask matching method, the most suitable breathing mask is selected for the user.