L'oreal

Grégoire Charraud

Helga Malaprade

Matthieu Perrot

Céline Farcet

Géraldine Thiebaut

Robin Kips

David B Kosecoff

Aldina Suwanto

Dominic Akerele

Nicholas Sinclair

Matthieu Jacob

Thibault Chauffier

Alix Begoc

Emma Palomba

A computer system obtains at least one 3D scan of a body surface; automatically identifies, based on the at least one 3D scan, one or more features (e.g., nose, lips, eyes, eyebrows, cheekbones, or specific portions thereof, or other features) of the body surface; and generates a digital 3D model of the body surface. The digital 3D model includes the identified features of the human body surface. In an embodiment, the step of generating of the digital 3D model is based on the at least one 3D scan and the identified features of the body surface. In an embodiment, the digital 3D model comprises a 3D mesh file. The digital 3D model can be used in various ways. For example, output of a manufacturing process (e.g., a 3D printed item, a cosmetics product, a personal care product) can be based on the digital 3D model.

Generation of digital 3D models of body surfaces with automatic feature identification

A computer system receives user-specified settings for a custom formulation of a personal care product, obtains manufacturing parameters for the custom formulation based at least on part on the user-specified settings for the custom formulation; and transmits the manufacturing parameters to a manufacturing computer system. The manufacturing parameters are configured to initiate or guide a manufacturing process to produce the custom formulation of the personal care product. The computer system also receives user-specified settings for a personal care device having at least one computer-controlled component, obtains operational parameters for the personal care device based at least in part on the user-specified settings for the personal care device; and transmits the operational parameters to a remote computing device in communication with the personal care device. The operational parameters are configured to modify at least one operational characteristic of the at least one computer-controlled component of the personal care device.

Method, system, and non-transitory computer-readable medium for a digital personal care platform

An aspect is a system and method that includes determining virtual try-on display adjustment information responsive to receiving one or more digital images taken upon application of a calibration cosmetics product, generating virtual try-on display parameters for modifying a digital try-on experience based at least in part on the virtual try-on display adjustment information, and generating one or more instances of a modified virtual try-on experience on a user interface based on the virtual try-on display parameters.

System and method for a personalized and accurate virtual make-up try-on

Embodiments of the present disclosure provide systems, methods, and computer-readable media that use machine learning models to enable computing devices to detect and identify cosmetic products in face images. In some embodiments, a model training system may gather training data for building the machine learning models by analyzing face images associated with tagging data. In some embodiments, a recommendation system may be configured to use the machine learning models generated by the model training system to detect products in face images, and to add information based on the detected products to a look data store, and/or to provide recommendations for similar looks from the look data store based on the detected products.

Systems and methods for providing personalized product recommendations using deep learning

Computer-implemented method, system, and non-transitory computer-readable medium for a digital personal care platform

In one embodiment, a salon sustainability resource management system is described. The salon sustainability resource management system includes one or more backwash stations, a sustainability status unit communicatively coupled to each of the one or more backwash stations. The sustainability status unit is configured to generate a virtual display including one or more instances of a current sustainability status associated with a utilization of at least one resource. An enticement unit is configured to activate one or more appraisals associated with the resource utilization at the backwash station. An integrated verdant unit is configured to predict a wholistic sustainability status associated with the current sustainability status at the sustainability status unit associated with each backwash station.

Salon sustainability system

In an embodiment, a sustainability resource management system includes a sustainability status unit configured to generate a virtual display including one or more instances of a predicted sustainability status associated with a utilization of at least one resource and an enticement unit configured to activate one or more appraisals associated with the resource utilization.

Sustainability resource management system

A computing device obtains a digital image of a color calibration target for a product; obtains product information for the product; determines image adjustment information based on the digital image of the color calibration target; obtains a digital image of the product based on the image adjustment information; and transmits the image data of the product and the product information to a backend product computer system. Obtaining the product information for the product may include scanning a graphical code, such as a QR code or a bar code, or obtaining information from the product via short-range radio-frequency communication. The method may further include receiving a response from the backend product computer system, which may include additional product information. The color calibration target and encoded product information may be included in a QR code having three or more color regions.

Growing community of inventors

Clichy, France

Grégoire Charraud