The invention relates to a face imaging device comprising a casing defining an opening for a face of a person to be imaged, wherein in the interior of the casing light sources and reflectors are arranged. The invention further relates to a method for taking images of a face of a person using the device and to the use of the device.

Artificial intelligence based systems and methods for analyzing user-specific data to predict user-specific skin or hair conditions. User-specific data of a user is received at a scalp and hair analysis application and defines a scalp or hair region of the user including last wash data of the user and at least one other factor of the user. An artificial intelligence based learning model, trained with training data regarding scalp and hair regions of respective individuals, analyzes the user-specific data to generate a scalp or hair prediction value corresponding to the scalp or hair region of the user. The application generates, based on the scalp or hair prediction value, a user-specific treatment designed to address at least one feature based on the scalp or hair prediction value of the user's scalp or hair region.

A skin measurement apparatus for emitting a plurality of lights for photographing an image of the skin. A skin measurement apparatus includes an ultraviolet ray emitting device; a white light emitting device; a focus lens enabling incident light, which is an ultraviolet ray emitted by means of the ultraviolet ray emitting device and a white light emitted by means of the white light emitting device reflected off the skin and transmitted, to pass therethrough; and an emission control device for controlling the ultraviolet ray emitting device and the white light emitting device such that the ultraviolet ray and the white light can be emitted together. The emission control device adjusts the strength of the white light on the basis of white light control information from the outside.

A light outputting device for scalp care according to an embodiment of the present invention comprises: a dome-shaped outer case forming the outer shape; an inner case formed inside the outer case; a plurality of laser light sources disposed in the space between the outer case and the inner case; photodiodes included in the plurality of laser light sources, respectively; and a processor which acquires a light amount sensing value of a first photodiode among the plurality of photodiodes, sets an amount of light for a first laser light source including the first photodiode on the basis of the acquired light amount sensing value, and drives the first laser light source on the basis of the set amount of the light.

A device for acquiring first and subsequent images of a suspect area on a patient and methods for monitoring or detecting changes of the suspect area over time and providing notification when the changes exceed a threshold. The device may be an imaging device, such as a digital camera, possibly augmented with physical or optical devices for arranging the orientation and/or distance of the imaging device with respect to the suspect area. In addition, methods for identifying, relocating, acquiring a first and/or subsequent image of the suspect area, and performing a comparative analysis of respective images are also described. Results of the comparative analysis can be used to notify and/or assist a medical professional in treating or counseling the patient.

In one embodiment, a hydration sensor or sensing element is configured to measure the hydration level of a user. The sensing element can include a water-permeable material positioned in between two water-impermeable material. The sensing element can be coupled to a bottle of fluid, or a carrier with a timer. The sensing element can be incorporated into a handheld device. The sensing element can be a disposable element, an element applicable for more than one-time use, or a re-usable element. The sensing element or sensor can be calibrated for a specific user or a group of users. One or more additional sensors that do not measure hydration level of the user can be coupled to a hydration sensing element to determine the amount of fluid consumption for the user in different conditions.

A method determining a scalp type of a user is provided. A value indicative of a humidity level of a region of the scalp of the user and a value indicative of a sebum level in the region of the scalp of the user are obtained. The set comprising both values is compared to reference groups of scalp hydration and sebum levels, the reference groups forming at least five scalp types. Each scalp type is associated with a humidity level range and a sebum level range, and with a corresponding category of skin and/or hair care compositions and/or skin and/or hair care treatments compatible with said humidity level range and sebum level range. Based on the comparison, the scalp type of the user is identified and then outputted.

The present invention provides a system and method for diagnosis and treatment of hair and scalp. The system comprises an electronic user interface, a plurality of data blocks configured to collect hair and scalp related data from a plurality of IOT devices, a processor coupled to an AI engine configured to process the data for identifying a problem and recommending a treatment, and a controller encoded with instructions to process a plurality of data models wherein the AI engine determines identifiers in the data based on at least one of the plurality of data models for analyzing condition of hair and scalp to recommend the treatment to a user on the interface.

In one embodiment, a hydration sensor or sensing element is configured to measure the hydration level of a user. The sensing element can include a water-permeable material positioned in between two water-impermeable material. The sensing element can be coupled to a bottle of fluid, or a carrier with a timer. The sensing element can be incorporated into a handheld device. The sensing element can be a disposable element, an element applicable for more than one-time use, or a re-usable element. The sensing element or sensor can be calibrated for a specific user or a group of users. One or more additional sensors that do not measure hydration level of the user can be coupled to a hydration sensing element to determine the amount of fluid consumption for the user in different conditions.

A scalp and hair management system has increased precision by collecting user information, particularly decision-making information and electroencephalographic information so as to provide aspects of change in scalp and hair managing habits in order to apply a transtheoretical model relating to scalp and hair managing habits for users; provides, by means of realistic image information, changed state information in accordance with systemic management of scalp and hair; verifies effects of using multiple scalp and hair management programs in stages of changes of the scalp and hair management from an initial state; finds and provides a management program suitable for a user; analyzes and provides positive factors and negative factors of the management program; provides state information of the user in stages; and thus boosts motivation for management.