AI 기반 반영구 메이크업 추천 및 통합 시술관리 시스템 설계 연구

This study aims to design an artificial intelligence (AI)-based semi-permanent makeup recommendation and integrated procedure management system to enhance objectivity and consistency in semi-permanent makeup practices. Conventional semi-permanent makeup procedures largely depend on practitioners’ experience and subjective judgment, which often results in low predictability and limited reproducibility of treatment outcomes. To address these limitations, this study proposes a system architecture that integrates an AI-based makeup recommendation module with smart diagnostic units for pre- and post-procedure management. The proposed system consists of a makeup recommendation server, a smart device interface, a skin printing unit, a visual procedure unit, a smart mask unit, and a smart head unit, all of which are designed to operate within a unified workflow. Through this integrated structure, the system is intended to support facial analysis, personalized makeup recommen- dation, procedure guidance, and systematic condition monitoring. As a design-oriented study conducted prior to empirical application, this research focuses on conceptual system configuration and procedural integration rather than performance evaluation. The proposed framework demonstrates the potential for standardizing semi-permanent makeup procedures and expanding data-driven, personalized beauty services. The findings of this study are expected to serve as foundational research for the future development and implementation of intelligent procedure management systems in the semi-permanent makeup industry.