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Abstract
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.
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Authors (2)
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Aleksandra Krajna
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Kocejko T., Krajna A.: Real-Time Skin Quality Assessment System// / : , 2024,
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/hsi61632.2024.10613550
- Sources of funding:
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- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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