Advanced Hair Elongation Determination System
Legal Citation
Summary of the Inventive Concept
An improved system for determining hair elongation, utilizing machine learning algorithms and near-infrared sensors to provide faster, more accurate, and personalized results.
Background and Problem Solved
The original patent for determining hair elongation using a NIR sensor has limitations in terms of accuracy and speed. The present inventive concept addresses these limitations by incorporating machine learning algorithms and advanced sensor technology to provide a more efficient and effective solution.
Detailed Description of the Inventive Concept
The advanced hair elongation determination system consists of a detection unit, utilizing a near-infrared sensor to detect hair characteristics, and an evaluation unit, which applies machine learning algorithms to evaluate the detected characteristics and determine hair elongation. The system can operate in a portable, handheld mode and can integrate with a hair care product dispenser to provide personalized product recommendations based on hair elongation. Additionally, the system can provide real-time feedback on hair elongation to the user and generate a detailed report on hair elongation and damage over time.
Novelty and Inventive Step
The use of machine learning algorithms and advanced sensor technology in the hair elongation determination system constitutes a novel and non-obvious improvement over the original patent, enabling faster, more accurate, and personalized results.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept may include using different types of sensors, such as spectroscopy or optical coherence tomography, or incorporating additional data sources, such as environmental or lifestyle factors, to further enhance the accuracy of hair elongation determination.
Potential Commercial Applications and Market
The advanced hair elongation determination system has significant commercial potential in the hair care industry, enabling personalized product recommendations, real-time feedback, and detailed reporting on hair elongation and damage. The target market includes hair care professionals, salons, and consumers seeking to improve their hair health and appearance.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Biomedical sensing technologies, specifically non-invasive hair analysis and spectroscopic measurement techniques, requiring advanced knowledge of optical sensing, signal processing, and data analysis
Person of Ordinary Skill (PHOSITA) Profile
A professional with expertise in optical spectroscopy, machine learning, biomedical sensing, and signal processing, typically holding a master's or doctoral degree in engineering, physics, or biomedical sciences
Obviousness Rationale
A PHOSITA would recognize that integrating machine learning algorithms with near-infrared spectroscopic hair analysis represents a predictable technological evolution, leveraging known computational techniques to enhance the precision and interpretability of existing hair elongation measurement approaches. The proposed variations represent incremental improvements that would be apparent to a skilled practitioner familiar with sensor technologies and data analysis methods. The fundamental measurement principles remain consistent with the source patent, with the primary innovation being the computational approach to interpreting spectroscopic data.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,332 |
|---|---|
| Title | Determination of a degree of elongation of hair using a NIR sensor |
| Assignee(s) | Henkel AG & Co. KGaA |