Disclosed herein is a hair health assessment, treatment, and styling diagnosis and recommendation method and system. The techniques use science and technology in order to aid users in achieving optimal health and beauty of their hair. The present disclosure allows a user to provide hair samples, such as digital images of hair, that can be analyzed using Machine Learning (ML) and Artificial Intelligence (AI) technology to provide recommendations including hair health assessments, hair care regimes, hair care products, and hair care services in an accurate, efficient, and automated manner. The present disclosure may employ a digital image capture device, either stand alone device or an embedded camera of a mobile device or a microscopic attachment, in order to capture digital images of their hair at a smartphone camera magnification level from a selfie image or microscopic-level of magnification, as a hair sample to be analyzed by the system.

A follicle identifying device includes an image acquiring unit configured to acquire an image of a follicle and a hair included in the follicle for each follicle separated from a scalp cut from back of a head of an alopecic patient in an incisional hair transplant or each follicle directly extracted from back of a head of an alopecic patient in a non-incisional hair transplant, an image processing unit configured to extract edges of a follicle and a hair from the image of the follicle and the hair acquired by the image acquiring unit, a hair count determining unit configured to determine a hair count in the follicle based on the edges of the follicle and the hair extracted by the image processing unit, and a control unit configured to output the hair count in the follicle determined by the hair count determining unit.

A method and a device for determining a degree of thermal hair damage are provided. A method for determining a degree of thermal hair damage includes, during exposure of a hair sample of hair to UV or UV/VIS light, recording a spectrum of at least a portion of the UV or UV/VIS light that has interacted with the hair sample. Further, the method includes comparing at least a portion of the spectrum with a spectroscopic calibration model obtained using UV or UV/VIS spectra and degrees of thermal damage of a plurality of calibration hair samples. Also, the method includes determining the degree of thermal hair damage by using the comparison.

A method and device are provided for evaluating hair growth treatments by applying markers to a hair area at different times to measure pre-treatment hair volume and post-treatment hair volume. By comparing changes in hair volume within one or more hairs, an effectiveness of the hair regrowth treatment can be measured.

A method of measuring changes in hair movement characteristics, predictive of consumer response includes: i) providing an apparatus for measuring hair movement characteristics of hair; ii) measuring the hair movement characteristics using the apparatus to obtain a first hair movement characteristic; iii) applying a treatment to the hair or an assault to the hair; iv) measuring the hair movement characteristics using the apparatus after step iii) to obtain a second hair movement characteristic; v) comparing the first hair movement characteristic and the second hair movement characteristic; and vi) assessing a change in movement occurring as a result of the application of the treatment or the assault.

A customer-customized big data analysis system using cosmetic information and biometric information according to the present invention, the big data analysis system comprises: a skin care device used by each customer, generating a microcurrent to increase penetration of cosmetics, and detecting biometric information related to skin; a customer terminal connected to the skin care device through short-distance communication, input member information through an application, and displaying the biometric information; and a big data server including a member biometric information DB unit connected to customer terminals through long-distance communication, and receiving and storing member information and biometric information from the customer terminals, and a cosmetics DB unit storing information of cosmetics and additives, wherein the application recommends cosmetics by analyzing big data with its own algorithm.

Device, systems, and methods are provided that can be used to monitor, examine, and/or analyze hair conditions and make suggestions to improve the hair conditions.

The present disclosure relates to a method for determining a user-specific hair treatment with determination and inclusion of the degree of damage of the hair. To this end, the content of cysteic acid is firstly determined with the aid of near-infrared and/or infrared spectra of the keratin fibres of an individual and a degree of damage is derived via a calibration model. Individual treatment advice is output on the basis of the determined degree of damage.

Device, systems, and methods are provided that can be used to monitor, examine, and/or analyze hair conditions and make suggestions to improve the hair conditions.

An arrangement and a computer program product are provided for determining body surface characteristics. An arrangement includes an acquisition unit configured to detect body surface features by Multiple Spatially Resolved Reflection Spectroscopy (MSRRS) in a wavelength range between about 300 nm and about 1500 nm; a data storage unit to interrogate data using the characteristics; and a user interface comprising an output unit, wherein the user interface is configured to interact with a user. Further, the arrangement includes a portable computing unit configured for: interacting with a user and for evaluating the features and for determining the characteristics based on the features; obtaining from the data storage unit features of treatment products and/or application instructions for non-therapeutic treatment of a body surface according to the characteristics; and instructing the output unit to output information on the treatment products and/or application instructions to a user.