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Real-Time Skin Quality Assessment System

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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Details

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:
  • Statutory activity/subsidy
Verified by:
Gdańsk University of Technology

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