A plurality of light sources placed at one end of a surface imaging system may generate and direct light rays to be incident onto a surface to be detected at high incident angles that are greater than or equal to a predetermined angle threshold, the predetermined angle threshold may be set to ensure that images of the surface to be detected that have at least a predetermined degree of contrast are to be obtained. An image sensor that is placed at another end of the surface imaging system may collect light rays reflected from the surface to be detected to form a first image of the surface to be detected.

A personal care system having a treatment device for applying a treatment to the skin or hair of a user is provided. The treatment device has a camera for taking an image of the skin. The system may include or be in communication with an application programming interface (API) that can process the image. The system or an associated API can recommend the use of treatment regimens or topical products according to information determined from the digital image of the skin.

The present invention relates to a method for determining a parameter specific to the custom-made coloring of hairs of a given individual, the method including the following steps: receiving magnitudes representative of a first target color and of a first initial color in a colorimetric space, determining a cosmetic product composition according to magnitudes received and a colorimetric rendering model, applying a cosmetic product having the determined composition on the hairs to be colored of the individual in order to obtain colored hairs, evaluating the color of the colored hairs in order to a magnitude representative of a first final color in the colorimetric space, and determining a colorimetric deviation parameter specific to the individual according to magnitudes representative of the first final color and of the first target color.

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.

A system for coloring hair, the system including at least one cartridge containing a hair color, a hair color device comprising one or more chambers configured to receive the at least one cartridge, and a processor communicatively coupled to the dispense, wherein the process or is configured to visualize an image of a user's hair, detect one or more hairs in a predetermined color range in the image through image processing, and apply the hair color onto the one or more hairs in a predetermined color range through an applicator on the hair color device.

The invention provides a system (1) comprising a sensor (100) for measuring a skin parameter, the sensor (100) comprising a plurality of spatially separated light sources (110) configured to provide light source light (111), and one or more detectors (120) configured at a first distance (d1) from each of the light sources (110), wherein the first distance (d1) is selected from the range of 5-80 mm, wherein the sensor (100) is configured to provide the light source light (111) with optical axes (OL) under an angle (a) relative to an optical axis (O2) of the one or more detectors (120) selected from the range of 10-80°, wherein the sensor (100) comprises at least three light sources (110), wherein the light sources (110) are configured to provide unpolarized light source light (111), wherein the system (1) further comprises an analysis system (2) wherein the analysis system (2) is configured to generate a corresponding skin sensor value on the basis of a detector response of the one or more detectors (120) at one or more wavelengths selected from a spectral range of 350-780 nm.

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.

Disclosed are hair analysis systems and methods comprising: (a) a step to capture an image of a user at an image capture unit and to send the image from the image capture unit to a hair analysis unit; (b) a step to analyze the user's hair condition at hair analysis unit, based on the image from the image capture unit by using a deep neural network, and to provide an analysis result to a display unit; and (c) a step to display at a display unit the analysis result to the user. The present invention provides the system and the method with an improved sensitivity.

Tissue surface tracking of tissue features is disclosed. First surface imaged features are tracked based on the first and second time spaced images at a first wavelength. Second surface imaged features are tracked based on the first and second time spaced tissue surface images at the second wavelength. Tracking metrics are obtained based on the tracking steps. The tracking steps are combined to provide a combined tracking metric. The combined tracking metric is used in a tissue surface navigation application.

The present application is directed to a method and system for determining at least one physical and/or chemical characteristic of a keratinous surface of a user, the method comprising the steps of: —receiving data corresponding to at least one image of the keratinous surface, —processing the image by applying at least one machine learning model to said image, —returning at least one numerical value corresponding to a grade of the characteristic of the keratinous surface to be determined.