Provided is an indicator for a measurement device for measuring skin conditions of a human, which can display degrees of progress in at least two kinds of states. The includes: a case; a measurement auxiliary unit slidably supported by the case; and a sensor part slidably supported by the measurement auxiliary unit. The indicator has: a window part formed in a side surface portion of the case; a first display part slidably supported inside the window part and connected to the measurement auxiliary unit; and a second display part slidably supported inside the window part and connected to the sensor part. A slide direction and slide amount of the first display part coincides with a slide direction and slide amount of the measurement auxiliary unit, and a slide direction and slide amount of the second display part coincide with a slide direction and slide amount of the sensor part.

A measuring system for measuring an object, the measuring system comprising a capture device comprising a set of illumination elements for illuminating the object and a set of cameras for capturing an image of the object, and a controlling and processing unit. The controlling and processing unit comprises at least a data acquisition functionality which is configured to provide surface data by activating at least a part of the set of illumination elements for illuminating the object with measuring light and capturing at least one image by detecting measuring light reflected at the object by means of at least a part of the set of cameras and a 3D-modelling functionality which is configured to provide a 3D model of the object by processing the surface data.

According to various embodiments, a multi-wavelength skin analysis device comprises: a skin condition measuring unit for measuring the user's skin condition using a camera and a multi-wavelength light source; a multi-purpose skin analysis information acquisition acquiring the user's skin analysis information through multi-wavelength images acquired from the multi-wavelength light source; a solution providing unit for offering information on recommended cosmetics corresponding to the measured skin condition, wherein the multi-purpose skin analysis information acquisition unit may include a melanin distribution confirmation unit for determining the melanin state of the user's skin, a dark circle cause determination unit for identifying the cause of dark circles, and a wrinkle cause determination unit corresponding to the differentiation of wrinkle-forming layers.

In some aspects, the present disclosure provides methods for identifying a disease in an epithelial tissue of a subject. Methods for identifying a disease in an epithelial tissue comprise the generation of a depth profile of the epithelial tissue using signals generated from the tissue by pulses of light directed towards a surface of the epithelial tissue. In some aspects, the present disclosure provides apparatuses consistent with the methods herein.

Provided herein is a system for measuring and analyzing skin and hair, which includes a skin and hair measurement and analysis device, a smart terminal of a user in which an application interlinked with the skin and hair measurement and analysis device is installed, and a server interlinked with the skin and hair measurement and analysis device and interlinked with the smart terminal.

Artificial intelligence-based systems and methods are described for generating and evaluating reconstructed multi-spectral images depicting skin. A digital image of a user is received at an imaging application (app) and comprises pixel data of at least a portion of a skin area of the user. A hyper-spectral (HS) reconstruction model, trained with pixel data of a plurality of digital images depicting human skin, outputs one or more reconstructed HS images, which can be used as input to one or more AI models. The imaging app generates, based on output from the one or more AI models, user-specific comparison data of the user, reconstructed HS images of the user, or mapping data of the user.

A display device includes a display panel configured to display an image. A biometric sensor module is disposed on the display panel. The biometric sensor module is configured to output a first transmission signal having a first frequency to sense fingerprint information in a fingerprint sensing mode. The biometric sensor is also configured to output a second transmission signal having a second frequency that is different from the first frequency to sense skin condition information in a skin measuring mode.

Scanning a person's skin allows one to more easily find products that match their skin tone. Cosmetic products are organized or classified using a three-dimensional skin tone color space. A skin scan determines a person's skin tone in the same skin tone color space. This allows customers to determine which products are appropriate for their skin tone that they can purchase form a retailer. A scanning device is used to scan one or more locations of a person's skin to obtain a skin tone identifier. For example, two different locations of a person's face can be scanned, such as the forehead and cheek. There may be an additional third scan. The scan determines a skin tone result in the skin tone color space.

An automatic tattoo apparatus can be used to robotically apply tattoos. A customer can shop on an online tattoo marketplace to select designs created by various artists located anywhere. The online tattoo marketplace can process and manage payments, artist and/or customer profiles, bookings, tattoo design uploads, browsing and design selection, design changes, and/or perform other actions. The automatic tattoo device can apply tattoos precisely, quickly, and may with reduced pain. The tattoo apparatus can apply a wide range of different types of tattoos, including but not limited to micro tattoos, dotwork, blackwork tattoos, realism tattoos, fine-line tattoos, etc.

Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.