Advanced Hair Analysis System for Personalized Care

Publication ID: 24-11857332_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Hair Analysis System for Personalized Care,” Published Technical Disclosure No. 24-11857332_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857332_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,332.

Summary of the Inventive Concept

An innovative hair analysis system leveraging near-infrared sensor arrays, artificial intelligence, and machine learning to provide personalized hair care regimens, predict hair elasticity and strength, and monitor hair health over time.

Background and Problem Solved

The original patent disclosed a device for determining a degree of elongation of hair using a NIR sensor, but it had limitations in terms of accuracy, speed, and personalization. The new inventive concept addresses these limitations by introducing a more advanced and comprehensive hair analysis system that can detect hair characteristics at multiple wavelengths, process the data using AI and ML algorithms, and provide customized hair care recommendations.

Detailed Description of the Inventive Concept

The advanced hair analysis system consists of a handheld device equipped with a near-infrared sensor array, an artificial intelligence module, and a microcontroller. The sensor array detects hair characteristics at multiple wavelengths, and the AI module processes the data to predict hair elasticity and strength. The microcontroller provides real-time analysis results and communicates with a cloud-based database of hair characteristics and corresponding hair care regimens. The system also includes a mobile application for accessing the database and receiving personalized hair care recommendations. Additionally, a wearable hair analysis device can be used to track changes in hair characteristics over time, providing alerts and recommendations for hair care based on the tracked changes.

Novelty and Inventive Step

The new inventive concept introduces the use of near-infrared sensor arrays, artificial intelligence, and machine learning algorithms to provide personalized hair care regimens, predict hair elasticity and strength, and monitor hair health over time. These features are not present in the original patent and represent a significant advancement in the field of hair analysis.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of sensors, such as spectrometers or optical coherence tomography, or integrating the system with other hair care devices, such as hair dryers or straightening irons. Variations could also include using the system for analyzing other types of keratin-based materials, such as wool or silk.

Potential Commercial Applications and Market

The advanced hair analysis system has significant commercial potential in the hair care industry, particularly in the areas of personalized hair care, hair health monitoring, and beauty technology. The system could be marketed to hair care professionals, salons, and consumers, and could be integrated with existing hair care products and services.

Field of Art

Biomedical sensing and analysis technologies, specifically non-invasive hair characterization techniques using spectroscopic methods, requiring expertise in optical sensing, signal processing, and machine learning algorithms

Person of Ordinary Skill (PHOSITA) Profile

A professional with a graduate degree in biomedical engineering, optics, or related field, experienced in spectroscopic analysis, sensor design, and data interpretation techniques, familiar with near-infrared spectroscopy and machine learning applications

Obviousness Rationale

A PHOSITA would recognize that extending the source patent's near-infrared hair analysis technique with artificial intelligence and machine learning represents a predictable technological progression. The fundamental spectroscopic measurement approach remains consistent, with the primary innovation being advanced computational processing of the spectral data. These computational enhancements would be considered an obvious implementation of known machine learning techniques applied to existing spectroscopic hair analysis methodologies.

Obvious Combinations & Variations

Source Patent Element
Near-infrared sensor for detecting hair characteristics and generating absorption spectra
PTD Variation
Expanding sensor to a multi-wavelength near-infrared sensor array with AI processing
Obviousness Reasoning
Adding multiple wavelength detection and AI processing represents a known technique for enhancing spectral data interpretation, providing more comprehensive hair characteristic analysis
Source Patent Element
Evaluation unit comparing absorption spectra against calibration models
PTD Variation
Implementing machine learning algorithms to dynamically update calibration models and generate personalized recommendations
Obviousness Reasoning
Applying machine learning to existing spectral comparison techniques is a predictable evolution in data processing, enabling more sophisticated pattern recognition and personalization
Source Patent Element
Detection of hair moisture levels and damage categorization
PTD Variation
Creating cloud-based database tracking hair characteristics and generating real-time care recommendations
Obviousness Reasoning
Extending localized hair analysis to a networked, data-driven system represents an obvious technological progression using standard cloud computing and data management techniques
Source Patent Element
Spectrometer generating signal patterns characteristic of hair features
PTD Variation
Integrating microcontroller for real-time analysis and mobile application interface
Obviousness Reasoning
Adding computational processing and user interface represents a standard design choice for making scientific measurement technologies more accessible and user-friendly
Source Patent Element
Hair characteristic detection using near-infrared spectroscopy
PTD Variation
Developing wearable continuous monitoring device for tracking hair health changes
Obviousness Reasoning
Transitioning from point-in-time to continuous monitoring is a predictable technological progression in sensing technologies, utilizing miniaturization and wireless communication techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857332 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations obvious, as they represent predictable technological extensions employing known machine learning, sensor array, and data processing techniques to the foundational near-infrared hair analysis methodology. The disclosed variations would be considered routine engineering design choices that do not rise to the level of non-obvious innovation.

Original Patent Information

Patent NumberUS 11,857,332
TitleDetermination of a degree of elongation of hair using a NIR sensor
Assignee(s)Henkel AG & Co. KGaA