스킨사이트(Skinsight)

Skin aging management is usually done locally with visual observation or skin measuring devices, resulting in low accuracy and difficulty in identifying early signs of aging.

Existing cosmetics consulting relies on customer surveys or photo analysis, resulting in a lack of precise individual data and limitations in predicting aging factors. There is also the problem that general consumers find it difficult to continuously monitor their skin changes.

SkinSite measures skin deformation down to the micrometer level by attaching a sensor in the form of electronic skin (e-skin).

It uses a high-sensitivity strain sensor co-developed with MIT to detect minute changes such as wrinkles in real time, and simultaneously monitors external environments such as UV/blue light exposure and temperature/humidity.

AI analyzes accumulated 24-hour lifestyle pattern data to predict individual aging causes and progression, and even simulates future aging. It has practical differentiators of continuity and precise prediction compared to existing skin measuring devices.

Individual consumers (B2C) are the main users, but high-end beauty care centers or dermatology clinics (companies/B2B) may also adopt it for customer analysis. It is likely to be provided as a solution for Amorepacific's own brand customers first.

It can be applied to the global beauty market as a wearable skin sensor. However, there are personal sensitive information processing issues with skin data, so personal information regulations in each country must be considered. It can be further expanded to customized cosmetics recommendation services or dermatology diagnosis assistance in the future.

It received attention at CES for its innovative technology concept, but market verification is insufficient.

The technical completeness was highly evaluated through academic collaboration, but there are remaining tasks for actual productization (patch durability, user convenience, etc.)[5]. In the industry, there are both positive views that it aligns with data-based customized beauty trends and cautious views on consumer adoption.