Year: 2025
Type: article
Abstract: Facial recognition technology enables the identification and analysis of human faces from digital images or video frames by extracting and measuring key facial features. Beyond user authentication, AI-driven skin analysis has emerged as a rapid and accurate diagnostic tool for assessing various skin conditions. Leveraging advanced machine learning algorithms, this technology can detect multiple skin concerns, including acne severity, hydration levels, redness, and wrinkles, within seconds. The AI-powered Skin Analyzer evaluates the T-zone and U-zone of the face to determine key skin attributes such as oiliness, dryness, and sensitivity. This analysis helps classify skin types into categories like normal, oily, dry, sensitive, or combination, providing a foundation for personalized skincare recommendations. FaceMap: AI-Powered Skin Type and Acne Analysis in Real-Time enhances skin assessment by analyzing images from different facial angles—front, left, and right profiles. This real-time analysis ensures comprehensive facial coverage, including traditionally challenging areas like the chin and cheeks
Authors: Dr. Uttara Gogate, Shruti Bhalerao, Prof. Diksha Bhave, Mansi Jadhav, Sakshi Sonavne
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412371813