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.

In various exemplary embodiments a hair condition determining device and a method for providing hair condition information may be provided. The device may comprise a first area and a second area configured in such a way that hairs of a user are movable between the first area and the second area, wherein in the first area at least one optical sensor for detecting light of a light source is positioned, wherein the second area includes at least one carrier, and wherein the first area and the second area are coupled by employing a connecting element in such a way that the first area and the second area face each other in such a way that a sensor main measuring direction of the at least one sensor is aligned at a predefined angle to a surface of the carrier.

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.

The disclosed technology provides a system and a computer implemented method for crisis state detection and intervention of a person or group of persons, the method comprising: providing a computer system designed to detect and intervene non-normal, elevated crisis operating states; using one or more sensors that ascertains a crisis state via physical, behavioral, or cognitive indicators; deducing, with computational hardware, the operational state of a user or users from one or more sensors; and administering an immediate, dual intervention of a sensory form to de-escalate the crisis operating state of a person or group of persons.

The application discloses a method, apparatus and system for scanning an animal. The method includes obtaining a species of an animal to be scanned, identifying a type of an animal cabin where the animal to be scanned is located, and determining whether the species of the animal to be scanned matches the type of the animal cabin, determining and presenting a corresponding scanning protocol that matches the species of the animal to be scanned if the species of the animal to be scanned matches the type of the animal cabin, and perform a scan according to the corresponding scanning protocol, or according to a user-defined scanning protocol.

A method for determining a user-specific hair treatment by determining and inclusion of the degree of damage of hair is provided. To this end, initially, with the aid of near-infrared and/or infrared spectra of the keratin fibres of an individual, the amino acid oxidation product content is determined and a degree of damage is derived from it via a calibration model. Individual treatment advice that is based on the determined degree of damage is issued.

The present application is directed to a device for inspecting a keratinous surface of a user, preferably a hair sample, comprising a housing in which an image sensor is arranged to receive measurement light emitted from a measuring area configured to accommodate the keratinous surface, through a measurement window in a front wall of the housing, over a corresponding imaging light path, the device being further equipped with an illumination ring arranged in the housing rear of the measurement window around the imaging light path, said illumination ring having two opposed partially peripheral illumination portions separated by two opposed complementary partially peripheral non-illuminating portions, the illuminating portions being further configured to illuminate the measuring area through the measurement window over a illumination light path, said illumination light path having an angle of incidence comprised between 30 to 60°, preferably about 45°.

A method for determining a greyness level of a strand of hair and a system adapted to implement this method are provided. First, an image of the strand of hair representing it according to a predefined representation standard is obtained. The image comprises a portion representing the strand of hair with pixels. Then, for each pixel of the portion, a luminance value is determined. After that an amount of pixels in the portion for which the determined luminance value is above a threshold luminance value is determined. Finally, the greyness level of the strand of hair is determined by estimating a ratio of the determined amount of pixels over a total amount of pixels in the portion.

Method for treating a surface includes: automatically evaluating at least one digital image which includes the target surface; determining the nature of the target surface according to the evaluation of the at least one digital image; determining at least one available treatment implement according to the evaluation of the at least one image; determining the nature of the surface treatment according to the evaluation of the at least one image; automatically determining a use of the determined treatment implement in the determined treatment of the determined surface; and providing information analogous to the determined use of the treatment implement.

In various exemplary embodiments, a method for computer-supported determination of properties of hair colors is prepared. The method can include: preparing hair color data, wherein the hair color data has values for a multitude of color pre-condition parameters and for at least one coloring result parameter for a multitude of coloring processes, wherein the multitude of coloring processes includes a first concentration of a first dye precursor and a second concentration of a second dye precursor for each coloring process of the multitude of coloring pre-condition parameters, wherein the multitude of coloring processes of the at least one coloring result parameters has a measured specification with a property of hair colors and determining a relationship between the multitude of coloring pre-condition parameters and the at least one coloring result parameter by employing predictive analytics based on the hair color data.