Beauty is skin deep. But skin analysis tools aren’t. 

Traditional skin analysis tools often lack the precision needed for analyzing conditions like pores, wrinkles, pigmentation, and medical issues such as acne, psoriasis, and vitiligo.

But there are some AI based innovations that are solving these challenges- 

1.  L’Oréal is planning to create an AI-based skin diagnostic system which uses deep learning technology. Specifically, it uses a convolutional neural network (CNN) to assess five face clusters: wrinkles/texture, sagging, pigmentation, vascular issues, and cheek pores. 

Trained on extensive skin data, it claims to offer highly accurate and reliable diagnoses. (US11832958B2)

2. Lululab Inc., a Samsung Electronics-affiliated Korean startup, has merged cosmetic and medical skin analysis using an innovative device. 

It uses AI and deep learning models for accurate assessment of cosmetics and medical conditions. 

The algorithm achieves a minimum 90% accuracy, covering pores, wrinkles, sebum, melasma, redness, acne, and oil-moisture balance. 

Notably Lululab received three consecutive CES Innovation Awards from 2019. (US11638553B1)

Would you like to know the companies that are using AI to make their products (and customers) more attractive? 

See how Nivea and Perfect Corp are using AI to provide personalized services- https://www.greyb.com/blog/ai-in-skincare/

The potential of AI in this industry is immense. It can help your company provide personalized experiences to your customers and keep you ahead of the competition. But having the right insights at the right time is what truly makes the difference.