How LG H&H Will Achieve True Personalization: Visual AI to Reveal Inherent and Health-related Aging and Biomarkers, via Global Cosmetic Industry

Femme appliquant crème visage devant miroir.
Femme appliquant crème visage devant miroir.

By Rachel Grabenhofer

LG Household & Health Care (LG H&H) recently revealed how different parts of the face age at different rates using visual AI to analyze 16,000 Korean women. According to the company, this study is the largest of its kind in Korean subjects and is a key part of LG H&H’s Skin Longevity project.

The research, published in the Journal of Investigative Dermatology, identified six key indicators of aging and the genes that influence them, paving the way for a new era of personalized skin care. Based on these findings, the company aims to provide customers with new experiences and to expand its unique customer value.

Aligning AI with Consumer-perceivable Aging

Visual AI enables machines to identify and understand visual data similarly to human vision. As the company explained, its AI research used Python programming language and employed publicly available image processing packages such as dlib and OpenCV. This enabled LG H&H’s R&I division to analyze high-resolution facial images of women ages 20 to 60 to track subtle changes in 68 facial points.