AI-Based Analysis for Hairstyle Recommendations
75 patents in this list
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Current hairstyle recommendation systems process thousands of facial measurements and hair characteristics, analyzing features across multiple dimensions including face shape ratios, hair density (ranging from 175-300 follicles per square centimeter), and detailed texture classifications. These systems must account for diverse hair types, from straight Type 1 to coily Type 4 patterns, while considering how different styling techniques affect the final appearance.
The fundamental challenge lies in translating precise biometric measurements and complex hair characteristics into actionable styling recommendations that account for both technical feasibility and client preferences.
This page brings together solutions from recent research—including AI-driven facial feature extraction, GAN-based hairstyle synthesis, hybrid styling algorithms, and computer vision systems for detailed texture analysis. These and other approaches focus on delivering personalized recommendations that bridge the gap between technical analysis and practical styling outcomes.
1. Hairstyle Recommendation System Utilizing Hybrid Styling Algorithms and Biometric Analysis
MIRRORROID INC, 2024
A hairstyle recommendation system that provides personalized styling suggestions based on a customer's unique characteristics and preferences. The system employs a hybrid approach that combines traditional styling algorithms with advanced biometric analysis, incorporating facial and hair features to generate highly tailored recommendations. The system integrates with facial recognition technology to analyze the customer's facial structure and hair characteristics, then uses this data to generate personalized styling suggestions that are both aesthetically pleasing and functional.
2. AI-Based System for Curly Hair Type Diagnosis and Product Recommendation Using Image Analysis
LOREAL, 2024
Diagnosing a user's curly hair type using AI and recommending specific hair care products based on the diagnosis. The system receives user-inputted images of their hair and uses AI models to diagnose curl patterns, hair texture, and shine. It then recommends products and regimens tailored to the user's hair needs. The AI models are trained using curly hair images and can detect coily, curly, kinky, wavy, and straight hair patterns. The system can also provide guides on hair science and care.
3. Composite Image Generation and Hair Treatment Estimation System Using Learned Model for Hairstyle Transformation
LINE YAHOO CORP, 2024
A system that estimates the details of hair treatment required to achieve a desired hairstyle based on user selected images. The system combines the user's face with a selected hair image to create a composite image. It then estimates the specific hair treatment needed to transform the user's actual hair into the composite image using a learned model that links hair images before and after treatment with the treatment steps.
4. AI-Driven System for Virtual Hairstyle Synthesis Using GAN-Based Facial Analysis and Feature Point Synthesis
GACHON UNIVERSITY OF INDUSTRY-ACADEMIC COOPERATION FOUNDATION, 2024
Synthesizing virtual hairstyles using AI and machine learning to create realistic digital representations of hairstyles. The method employs a combination of facial analysis and AI-driven generation, where the system estimates a user's face shape and hairline, then applies a pre-defined hairstyle template to create a digital version. The AI system uses a GAN architecture to generate the virtual hairstyle, combining multiple iterations of feature point synthesis to achieve natural-looking results.
5. Hair Service Device with Deep Learning for Image and Query-Based Stylist and Salon Matching
SOUND PINE TREE CO LTD, Soundpinetree Co., Ltd., 2024
Hair service device using deep learning to match customers with salon stylists and recommend salons based on their search queries. The device analyzes a vast database of hair images and user feedback to identify matching hairstyles, then uses AI-driven recommendations to match customers with salons that match their search criteria. This approach enables personalized salon matching through natural language processing and image analysis, rather than relying solely on keyword matching or user feedback.
6. Hairstyle Recommendation System Utilizing Computer Vision for User-Specific Feature Extraction and 3D Modeling
BEIJING SOUNDAI TECHNOLOGY CO LTD, 2024
Hair style recommendation system that optimizes hairstyle selection by analyzing user-specific characteristics and medical data. The system employs advanced computer vision techniques to extract detailed features from user images, including hairline position, follicle density, and hair texture. These features are then matched against a comprehensive library of hairstyles to determine the most suitable style for each user. The system incorporates 3D modeling capabilities to accurately capture the user's head shape and features, enabling personalized recommendations.
7. Facial Feature Extraction and Analysis System for Generating Hairstyle Recommendations Based on Face Shape
Gachon University Industry-Academic Cooperation Foundation, GACHON UNIVERSITY OF INDUSTRY-ACADEMIC COOPERATION FOUNDATION, 2023
Recommendation system for hairstyles based on face shape analysis. The system extracts detailed facial features from a complete head image using AI-powered facial feature point extraction, then measures the shape and size of each feature to generate comprehensive facial shape information. This comprehensive shape information is used to recommend hairstyles that match the user's face characteristics. The system incorporates user preferences into the recommendation process by weighting hairstyles based on their similarity to the user's face shape.
8. System for Analyzing Facial Features to Match Hairstyles Based on Image-Derived Characteristics
NANALOG CO LTD, 2023
Personalized hairstyle recommendation system that analyzes facial features to match individual characteristics with hair styles. The system extracts facial features from images, analyzes hair characteristics across different regions, and determines the most suitable hairstyle based on matching features. It provides a comprehensive approach to matching hair styles with facial features, enabling customers to find a hairstyle that complements their unique facial structure.
9. AI-Driven Beauty Recommendation System with Image Analysis and Wearable Device Integration
KIM WON SHIK, Kim Won-sik, 2023
Beauty recommendation system for individuals with diverse skin tones, hair types, and facial features. The system uses AI-driven deep learning models to analyze user images and determine their face type, hair type, and skin tone. It then recommends personalized makeup styles based on these characteristics, including hair styles, effects, and cosmetics. The system integrates with wearable devices to generate virtual images of recommended styles.
10. AI-Driven Hair Styling System with Virtual Avatar-Based Hairstyle Matching and Stylist Selection
WANG CHENG-KAI, Wang Chengkai, Xu Jiajian, 2023
Intelligent hair styling system that enables personalized hair design through AI-driven matching between customer preferences and stylist capabilities. The system creates a virtual avatar based on customer facial features, then displays a range of hairstyle options that match the avatar's characteristics. Stylists can then select from these options, and the system automatically matches the customer with a suitable stylist based on their preferences. The system evaluates the stylist's availability and pricing before sending the customer a final design and pricing information.
11. System for Generating Beauty Recommendations Based on Hair Style Analysis
YAHOO JAPAN CORP, 2023
A system for personalized beauty advice that matches users with complementary beauty solutions based on their hair style. The system analyzes the user's hair style and generates recommendations for matching body decorations, including makeup, nail art, and esthetics, that enhance their overall appearance. The recommendations are calculated based on the user's hair style characteristics, enabling users to discover new beauty combinations that complement their natural features.
12. AI System for Virtual Hairstyle Matching Using Individual Hair Growth and Scalp Analysis
Beijing Yunshuzhikang Medical Technology Co., Ltd., 2023
AI hairstyle matching system that optimizes virtual hairstyles based on individual characteristics and hair growth patterns. The system analyzes user characteristics, including hair follicle distribution, growth status, and scalp health, to create personalized virtual profiles. It then matches these profiles with a library of virtual hairstyles, predicting potential outcomes based on predicted growth patterns. The system enables users to select from these matched hairstyles, with AI-driven evaluation and feedback mechanisms to refine their preferences.
13. Device and Method for Automatic Virtual Hairstyle Generation via Hairline Layout Feature Analysis
Beijing Baidu Netcom Science and Technology Co., Ltd., BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO LTD, 2023
Image processing method and device that enables automatic virtual hairstyle generation by analyzing hairline layout features in a target image. The method identifies the target image's face detection area, extracts the hair region, determines hairline layout features, and matches virtual hairstyles to the hair region using these features. This approach enables precise virtual hairstyle matching by leveraging the hairline's spatial distribution patterns.
14. Smart Mirror System with Facial Feature Analysis and Trend-Based Hairstyle Matching Using Visible and Infrared Cameras
PROMAX CO LTD, 2023
AI-powered smart mirror system that automatically generates personalized hairstyles through facial analysis and trend-based matching. The system captures detailed facial features using visible and infrared cameras, analyzes them to extract key points, and uses this data to identify the user's ideal hairstyle. It then searches for and displays matching hairstyles from its vast database, allowing users to seamlessly transition between virtual and real-world styles without the need for separate consultations.
15. System for Real-Time Hair Condition Analysis and Adaptive Hairstyle Recommendation Based on Growth Patterns
RAKUTEN GROUP INC, 2023
Recommendation of hairstyles based on real-time hair condition analysis. The system analyzes the user's hair condition after treatment and estimates the optimal hairstyle based on the current hair length and growth pattern. It then selects a hairstyle that matches the estimated condition, taking into account variations in hair growth patterns across different parts of the head. The system presents the recommended hairstyle at the optimal time for the user's current hair condition, ensuring a personalized match.
16. Self-Hairstyling Device with AI-Driven Styling Recommendations, Integrated Camera, and Real-Time Video Display
Kang Subin, KANG SU BIN, 2023
Self-hairstyling device with an unmanned kiosk function that enables users to style their hair remotely through AI-driven recommendations and real-time video displays. The device features a hair dryer and curling iron, with a built-in camera capturing the user's face. An AI algorithm analyzes the user's face shape, hair length, and current hairstyle to provide personalized styling recommendations. The device continuously monitors the user's progress and displays the styling process in real-time, allowing users to follow their customized look. The system also includes a payment terminal for credit card transactions, a vending machine for hair care products, and an ultraviolet sterilization unit for device maintenance.
17. 3D Facial Analysis-Based Personalized Hairstyle Generation System
MOON HYUN SOOK, 2023
A personalized hairstyle consulting system that enables customers to discover customized hairstyles tailored to their unique face shape, hair characteristics, and desired aesthetic. The system uses advanced 3D facial analysis to generate a personalized 3D model of the customer's face, which is then used to create a range of hairstyle options. Customers can input their desired hairstyle, hair length, texture, and bangs, and the system generates multiple customized hairstyles that match their face shape and hair characteristics. The system provides expert consultation and transmission of the recommended hairstyles to the customer's terminal, enabling a comprehensive and personalized hairstyle solution.
18. AI-Driven Hairstyle Navigation System with Stylist Matching and Personalized Styling Guidance
KI HYUN SEO, 2023
A hairstyle navigation service system and method using AI that enables personalized hair styling by matching customers with skilled stylists and providing customized styling advice through a user interface. The system integrates customer preferences, hair condition information, and desired styles into a comprehensive service, then connects customers with trained stylists who can deliver precise, expertly crafted hairstyles. The system employs advanced AI algorithms to analyze customer input and match it with suitable stylists, while also providing customers with detailed styling guidance and recommendations through a user-friendly interface.
19. AI-Driven Virtual Hair Styling System with Bald Hair Transformation and Realistic Hair Simulation
MIRRORROID CO LTD, 2023
Hair style recommendation system that provides personalized virtual hair styling using AI-driven bald hair transformation and realistic hair simulation. The system employs a multi-stage approach: first, it converts a user's bald head image into a virtual hair model through an AI algorithm. Then, it generates realistic hair styles based on the user's facial features, hair type, and personal preferences. The system integrates facial biometric analysis and user input to provide accurate and customized virtual hair simulations.
20. System for Generating Personalized Hairstyle Recommendations Using Facial Image Analysis and User Data Integration
NEC CORP, 2023
Predictive styling for individuals seeking aesthetic enhancements through personalized hair recommendations. The system analyzes facial images and user data to generate customized hairstyle suggestions based on both objective appearance metrics and user preferences. This approach enables users to discover flattering styles that objectively complement their features, rather than relying solely on subjective preferences. The system integrates with hair salons to deliver personalized styling recommendations to customers.
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