The E-Yout Finder analyzes the skin to create custom beauty routines for each user. Launched by Lancome, the scanner devises a three-step personalized regiment with the quick snap of a selfie. The beauty brand rolled out its new product to help customers find their perfect product match and eliminate skin concerns.
The E-Youth Finder is powered by AI technology. It is based on a database of 10,000 clinically graded images. To use the technology, customers must upload a selfie to the platform, which then analyzes some aspects of the skin to create a comprehensive examination. The E-Youth Finer takes firmness, texture, dark spots, fine lines, and eye wrinkles into consideration to determine the best product recommendations.
Image Credit: Lancome
What's Driving This Trend
- Personalized Skincare Analyzers
- There's an opportunity for other beauty brands to follow suit by using AI technology to create custom skincare routines for their customers based on a quick scan of their skin.
- Selfie-based Beauty Products
- The popularity of selfie culture presents an opportunity for beauty brands to create new products that use facial recognition technology and AI to provide personalized recommendations for their customers.
- Clinically Graded Image Databases
- The creation of large databases of clinically graded images can have disruptive applications in other industries, such as healthcare, by using AI technology to identify and diagnose medical conditions based on visual data.
Who This Affects Most
- Beauty
- The E-Youth Finder shows the beauty industry has an opportunity to create affordable, personalized skincare tools that use AI technology to improve the customer experience.
- Technology
- The use of AI technology to analyze skin conditions and create personalized beauty regimens paves the way for further innovations in the technology industry in areas such as facial recognition and image analysis.
- Healthcare
- The creation of databases of clinically graded images has the potential to revolutionize the healthcare industry by using AI technology to diagnose medical conditions more accurately and efficiently based on visual data.
