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Hair Analysis

Infusing Technology for Comprehensive Hair Analysis

Consumers gravitating towards professional hair care solutions are constantly looking for the latest novelties in the hair care domain. Imagine the rate at which innovations will happen when advanced technology and research becomes a rule for hair care solutions. With its extensive expertise in Computer Vision and Image Processing, KritiKal develops full-functioning algorithms and software applications that help its clients break down market clutter and steer the growth towards innovation. KritiKal’s intelligent and powerful AI Hair Analysis Software enables its clients to embrace advanced technologies that help unlock a plethora of opportunities in the hair care innovation segment. 

Nurture Growth with Our Ground-breaking AI Solutions

There is always a challenge for hair care and other consumer goods companies that manufacture custom hair care solutions, to embed all the benefits for healthy hair in a single product. Our dedicated team of engineers and industry specialists are empowered to design revolutionary solutions that cover an extra mile of the AI innovation journey to meet the growing challenges of our clients. 

Surface characterization of hair fibers often unveils important details about the performance of hair care products. It also helps in the development of improved hair treatment formulas that are based on hair scalp analysis as well as the intertwined connection between product use and the resulting surface properties of the treated fiber. By harnessing the latest in research & development and adapting advanced processes, we at KritiKal Solutions develop tailored Hair Surface Analysis Software to deal with specific types of hair problems. 

KritiKal's Expertise in AI Hair Analysis

Hair Segmentation
Hair Segmentation
KritiKal provides an end-to-end solution that performs AI-powered hair semantic segmentation and alpha matting to segment fine hair strands from background in input images. It efficiently aids in hair strand annotation, in-depth strand and AI hair analysis and automated hair visualization for diverse applications such as diagnosis of hair diseases, frizz, hair fall, split, broken and cuticle ends, hair coloring etc. irrespective of different hair lengths, styles and colors. These solutions can effectively assist in improving hair health by recommending apt haircare products as per conducted analysis.
AI Hair Root Counting Module
AI Hair Root Counting Module
In response to the emerging need of not only identifying the causes of hair damage but also a revelation of the density of hair, KritiKal has developed a powerful hair root analysis and counting module which acts as a sub-module of the Porphyrins and Sebum Analysis software. This AI-powered module performs hair counting, isolates real Porphyrins and Sebum regions, and eliminates false cases. This module also helps consumers estimate hair density on their scalp by observing the number of hair roots on a given scalp surface area.


Hair Scalp Analysis from Multi-focus scalp images
Hair Scalp Analysis from Multi-focus scalp images
We have developed a solution that performs focus stacking of multi-focus scalp images to generate perfectly focused, sharp and detailed images which are further used in precise dandruff and hair scalp analysis. AI and Computer Vision powered modules perform accurate alignment of the images followed by the proprietary focus stacking pipeline to accurately merge the focused regions from the all the images in the stack to generate an image with all the scalps and hair strands in focus which helps in accurate analysis of Hair scalp. The custom developed AI model is then used to analyze and grade the health of Hair scalp considering factors like dandruff, density, hair, etc.
3D Hair Strand Modelling using single/multi-view images
3D Hair Strand Modelling using single/multi-view images
At KritiKal, we provide advanced hair insights with our cutting-edge 3D hair strand modeling and analysis solution powered by AI and computer vision. By extracting detailed strand maps and depth maps, our system reconstructs realistic 3D hair structures from ordinary camera inputs. Segmentation at the fine strand level is achieved with the help of alpha matting. Furthermore, our 3D hair analysis pipeline utilizes deep learning as well as computer vision techniques to analyze hair volume, hair fizziness, curliness score, and individual hair strand orientation precisely. It is ideal for personalized hair care, and cosmetic research, in addition to virtual try-ons. The solution offers fast, accurate, and non-invasive hair analysis from just a few images.
Porphyrins and Sebum Analysis
Porphyrins and Sebum Analysis
We have developed automated software that conducts hair scalp analysis of surface images captured through specialized UV capturing devices. Our software uses advanced Image Processing and Machine Learning methods to detect and highlight the Porphyrins and Sebum regions on the scalp surface. In the analysis process, Porphyrins and Sebum concentrated regions get highlighted as red and green fluorescence in the UV images. Such regions are always attached to the human hair root. The AI-based software also detects hair roots in the process, which estimates the hair density on the scalp surface based on the root counts. The software is available as an independent desktop application as well as a shared library plugin for Android Applications.
AI-based Cuticle Analysis
AI-based Cuticle Analysis
Cuticle Analysis or Hair Damage Analysis measures damage to hair in terms of the quality of cuticles on the hair surface. A Hair Damage Detection & Classification Engine serves as a core mechanism to evaluate hair damage over an Android app. The AI-based cuticle analysis and hair root analysis software is highly flexible; it can be integrated with third party Hair Fiber Image Capturing Devices and ported on the Android platform. This software simplifies hair analysis by assigning a score to the subject’s hair quality. On the basis of this score, an appropriate hair care product is recommended to the end consumer, thus solidifying the sales process of the brand.


AI Hair analysis

Why Is Kritikal an Outstanding Platform for Leading Hair Care Brands?

  • Hi-tech R&D and product design services to help meet clients’ objectives in a stipulated time frame
  • We believe in collaborative innovation through strong academic linkages with renowned institutes like IITs and research centers
  • Armed with the right competencies and skills in AI, Machine Learning, 3-D Image Analysis, Deep Learning and Computer Vision solutions
  • We have served leading consumer goods companies through our responsive, highly scalable and flexible sebum analysis software and algorithm development stacks 

FAQs

AI-based hair scalp analysis uses advanced algorithms to inspect and assess various aspects of hair including texture, density, growth patterns and scalp health. Customers can benefit from in-depth reporting of causes of potential issues like split ends, breakage, thinning, hair fall etc. through hair image analysis. They also receive personalized hair product recommendation and AI-predicted hair abnormalities for informed decision making. 

The cost of AI hair analysis and in-depth root inspection varies as per parameters to be integrated in the solution which may vary from hair disease detection to hair styling and more. It is dependent on the scope which may include root cause analysis of scalp health, hair density, root condition and more. For detailed insights into project costs aligned with your requirements and customizations needed, kindly get in touch with us to schedule a meeting. 

Sophisticated sebum and hair scalp analysis examines the health of scalp and sebum produced by it that indicate conditions such as oily or dry scalp, dandruff, acne, clogged follicles, potential hair loss, brittle hair, scalp irritation etc. This helps in assessing the balance of natural oils produced by the scalp and creating personalized hair care routines. 

Hair sample collection may or may not be required for root or hair scalp analysis as AI-based systems simply assess scans of scalp patches or large image datasets captured at high-quality for detecting patterns, conducting accurate, effective analysis and making product recommendations. 

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