C033

Facial Skin Analysis in Malaysians using YOLOv5: A Deep Learning Perspective

Ms. Gan Ying Huey

AFFILIATION
Faculty of Information Science & Technology, Multimedia University

Description of Invention

Nowadays, people are more concerned about their skin conditions and are more willing to spend money and time on facial caring routines. Increasingly more skin type readers have emerged to help people determine their skin type. While various skin type readers are in the market, each is invented abroad, and does not apply well on Malaysian skin. Therefore, this poster focuses on analyzing the Malaysians' skin with object detection algorithm and developing a skin type reader tailored primarily for Malaysians. YOLOv5 is employed to detect users' facial skin conditions, which is then used to further classifies the user's skin type.