This thesis presents a real-time skin assessment system with the main aim of detecting inflammatory acne lesions and tracking skin conditions. A facial acne lesion detection algorithm was developed, using a pre-trained YOLOv8 model for lesion detection and a Mediapipe detector for face detection. The proposed solution aims to create a system used in smart mirrors to help users self-monitor and monitor their skin condition in real time without much involvement. The work shows that it is possible to effectively detect skin changes even in a motion situation, which could be a good direction for the development of solutions based on video analytics.
Authors
- dr inż. Tomasz Kocejko link open in new tab ,
- Aleksandra Krajna
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/hsi61632.2024.10613550
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2024
Source: MOSTWiedzy.pl - publication "Real-Time Skin Quality Assessment System" link open in new tab