Technology
The science behind Dermaself AI
Dermaself combines AI Skin Analysis with INCI analysis, i.e. the list of product ingredients..
From a selfie to the analysis of visible skin characteristics through AI and dermatological research.
The user takes a selfie through a guided capture process, which helps ensure a suitable image.
Dermaself’s AI Skin Analysis analyzes the selfie using computer vision, a technology that enables artificial intelligence to interpret visual information in an image. The technology is developed based on 30 years of clinical research.
Dermaself detects various visible skin characteristics, including blemishes, wrinkles and fine lines, spots, redness, pores, texture, dryness and dehydration, based on criteria developed through dermatological research.
Dermaself analyzes various visible skin characteristics, including blemishes, spots, wrinkles and fine lines, redness, pores, dryness, under-eye bags and skin texture.
And more...
AI Product Recommandations
Dermaself combines the visible skin characteristics detected through AI Skin Analysis with information about the ingredients and products available in the brand’s catalog to generate personalized skincare recommendations and routines.
Smart Recomandations
Dermaself analyzes the INCI, i.e. the list of cosmetic ingredients, and the composition of products in the catalog to support personalized skincare recommendations. Recommendations therefore take ingredient information into account, rather than relying solely on marketing claims.
Dermaself uses data from CosIng, the European Commission database containing information on cosmetic substances and ingredients.
Source: European Commission – CosIng
Dermaself uses ingredient compatibility rules to support the creation of coherent skincare routines.
Dermaself connects visible skin characteristics with ingredient information to support personalized skincare recommendations based on clinical research.
Research and innovation for Dermaself’s AI Skin Analysis
Dermaself develops AI Skin Analysis technologies in collaboration with Politecnico di Milano and Politecnico di Torino, with projects focused on image normalization and user data protection.
Technology 1
Selfie Color Normalization
In the project developed with Politecnico di Milano, Dermaself applies color normalization to reduce image variations caused by different lighting conditions and make selfies more comparable.
Technology 2
Selfie Anonymization
In the project developed with Politecnico di Torino, images are transformed into irreversible anonymous data, allowing brands to preserve analytical value without linking it back to the user’s identity. The system is designed to comply with the GDPR.
Dermaself’s technology is based on 30 years of clinical research and scientific data used in the development of its AI Skin Analysis. This research foundation supports the analysis of visible skin characteristics and the development of personalized skincare recommendations.
See in a demo how Dermaself analyzes a selfie, detects visible skin characteristics and connects the results with products from the catalog to create personalized skincare recommendations and routines.
Quick answers to common questions
Dermaself's AI Skin Analysis starts with a selfie and uses computer vision, a technology that allows artificial intelligence to interpret the information visible in an image, to analyze various visible skin characteristics. The analysis results can then be linked to the catalog products to generate personalized skincare recommendations and routines.
Dermaself analyses the INCI, that is, the list of ingredients of cosmetic products, together with information on the products available in the catalogue. Through Ingredients Intelligence, the system that relates ingredient information to visible skin characteristics, supports the selection of relevant products and the creation of personalized skincare routines.
