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Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings

Research Article

Facial Skin Condition Detection Using Deep Learning-Building Skin Care System

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-47359-3_10,
        author={Anh-Thu T. Chau and Duc-Man Nguyen and Nghia-Khue Hoang and Minh-Phu Phan and Phuoc-An Dong and Kim-Sanh Tran},
        title={Facial Skin Condition Detection Using Deep Learning-Building Skin Care System},
        proceedings={Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings},
        proceedings_a={INISCOM},
        year={2023},
        month={10},
        keywords={FaSkare Facial skin care FastAI Deep learning facial detection},
        doi={10.1007/978-3-031-47359-3_10}
    }
    
  • Anh-Thu T. Chau
    Duc-Man Nguyen
    Nghia-Khue Hoang
    Minh-Phu Phan
    Phuoc-An Dong
    Kim-Sanh Tran
    Year: 2023
    Facial Skin Condition Detection Using Deep Learning-Building Skin Care System
    INISCOM
    Springer
    DOI: 10.1007/978-3-031-47359-3_10
Anh-Thu T. Chau1, Duc-Man Nguyen1,*, Nghia-Khue Hoang1, Minh-Phu Phan1, Phuoc-An Dong1, Kim-Sanh Tran1
  • 1: International School, Duy Tan University
*Contact email: mannd@duytan.edu.vn

Abstract

The demand for skincare solutions has grown significantly in recent years, with individuals of all genders seeking ways to maintain healthy and beautiful facial skin. However, environmental pollutants, stress, and hormonal changes can negatively impact the skin, leading to issues like acne and dark spots. To address these concerns, we have developed FaSkare, an intelligent facial skin condition detection system. FaSkare utilizes advanced technologies, including FastAI and deep learning, to analyze and accurately predict users’ facial skin conditions. By understanding the precise condition of their skin, users can receive personalized recommendations for suitable skincare services and cosmetics. The system is designed to be practical and effective, capable of being applied in various conditions. Experimental results demonstrate the practicality and effectiveness of FaSkare in analyzing facial skin conditions and providing tailored solutions. The system’s user-friendly website platform ensures ease of use and accessibility for individuals seeking skincare advice. By leveraging the power of data and machine learning, FaSkare aims to bridge the gap between beauty awareness and accessible skincare solutions.

Keywords
FaSkare Facial skin care FastAI Deep learning facial detection
Published
2023-10-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-47359-3_10
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