Perfect Corp. Partners with London-based Skincare Lab to Launch AI-Powered Digital Skin Diagnostic Experience
In Brief
Perfect Corp. announces a new AI skin diagnostic solution called SKIN ID.
SKIN ID uses Perfect Corp.’s award-winning AI Skin Diagnostic technology to identify 14 types of skin concerns.
The AI analysis also provides the customer with an overall score for skin health.
Perfect Corp, the artificial intelligence (AI) and augmented reality (AR) beauty and fashion tech solutions provider, has partnered with Precision Skin by DermConcept, a London-based skincare lab, to launch SKIN ID.
Dermconcept’s SKIN ID experience is an AI skin diagnostic solution that uses Perfect Corp’s AI skin analysis technology to provide results for 14 types of skin concerns, as well as personalized product formulations tailored to individual customer skin concerns and lifestyles.
To begin using SKIN ID, users must fill out a short questionnaire on their preferred skincare product textures, key skin concerns, and lifestyle habits. This is then followed by a real-time online skin diagnostic and skin scanner in live camera mode.
The user then receives the AI skin analysis, which delivers a detailed report on major skin concerns, including moisture, pores, acne, spots, firmness, radiance, dark circles, droopy lower eyelids, wrinkles, texture, oiliness, redness, and eyebags.
The AI analysis also seamlessly generates a real-time AR overlay to visualize the findings and provides the customer with an overall score for skin health and skin age via an easy-to-read rating system, with higher ratings representing healthier skin.
After the skin analysis, SKIN ID will recommend to users personalized 3-in-1 skincare products and regimens consisting of day skincare, night skincare, and eye skincare. As many consumers struggle with self-identifying their basic skincare needs beyond oily or dry, Perfect Corp’s AI technology could make it easier for consumers to decide on the skincare products they need.
“With the power of AI technology, skincare customers can have bespoke product formulations created for them, with active ingredients that better address their unique skin concerns,”
Perfect Corp. founder and CEO Alice Chang said in a press release.
The AI skin diagnostic is powered by deep-learning skin scan algorithms using full-face mapping. It analyzes three images of a person’s face – front, left, and right profiles, and performs skin analysis with full facial coverage, including difficult-to-map areas such as the chin and cheeks.
Perfect Corp’s proprietary AI skin diagnostic technology is a B2B tool that is built using over 70,000 medical-grade images. The company claims that its AI technology produces faster, more standardized skin readings with higher accuracy than traditional questionnaires, allowing brands to provide precise product recommendations.
By combining augmented reality, deep learning, and computer vision, Perfect Corp, along with ModiFace, pioneered the use of augmented reality in the cosmetics industry. Well-known beauty brands like Yves Saint Laurent, L’Oréal Paris, MAC Cosmetics, e.l.f Beauty, and Macy’s use Perfect Corp’s virtual makeup try-on solution.
Another leading provider of augmented reality technology for the beauty industry, ModiFace, was founded by University of Toronto engineering professor Parham Aarabi. In 2018, L’Oréal acquired the company to develop an AI makeup app in collaboration with Facebook. Based on more than a decade of advanced facial recognition research at Stanford University and the University of Toronto, ModiFace’s technology currently powers augmented reality experiences for brands including Armani, L’Oréal Professionnel, and Samsung.
According to a 2022 market intelligence research report by InsightAce Analytic, the global Artificial Intelligence (A.I.) in Beauty and Cosmetics market size was valued at US$ 2.70 Billion in 2021, and it is expected to reach US$ 13.34 Billion in 2030.
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About The Author
Cindy is a journalist at Metaverse Post, covering topics related to web3, NFT, metaverse and AI, with a focus on interviews with Web3 industry players. She has spoken to over 30 C-level execs and counting, bringing their valuable insights to readers. Originally from Singapore, Cindy is now based in Tbilisi, Georgia. She holds a Bachelor's degree in Communications & Media Studies from the University of South Australia and has a decade of experience in journalism and writing. Get in touch with her via cindy@mpost.io with press pitches, announcements and interview opportunities.
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Cindy is a journalist at Metaverse Post, covering topics related to web3, NFT, metaverse and AI, with a focus on interviews with Web3 industry players. She has spoken to over 30 C-level execs and counting, bringing their valuable insights to readers. Originally from Singapore, Cindy is now based in Tbilisi, Georgia. She holds a Bachelor's degree in Communications & Media Studies from the University of South Australia and has a decade of experience in journalism and writing. Get in touch with her via cindy@mpost.io with press pitches, announcements and interview opportunities.
