Volume 2 - Issue 2, March - April 2026

The rapid growth of digital health technologies and artificial intelligence has significantly influenced the personal care and dermatology domains, leading to the emergence of digital skincare analyzers. These systems aim to assess skin conditions such as acne, pigmentation, wrinkles, dryness, and oiliness using image processing, machine learning, and sensor-based techniques. With increasing awareness of skincare and the widespread use of smartphones, digital skincare analyzers provide users with accessible, cost-effective, and personalized skin assessments without immediate clinical visits. This survey paper presents a comprehensive review of digital skincare analyzer systems, focusing on their underlying technologies, data acquisition methods, processing techniques, and application areas. It also discusses the advantages, limitations, and challenges associated with existing solutions, including accuracy, lighting variations, privacy concerns, and dataset bias. Furthermore, this paper highlights recent research trends and future directions, emphasizing the integration of deep learning, Internet of Things (IoT), and teledermatology platforms. The survey aims to provide researchers and developers with a clear understanding of the current landscape of digital skincare analyzers and serve as a foundation for designing more reliable and user-centric skincare analysis systems.

Subhikshaa A, Dr.G.Vani,"Digital Skincare Analyzer" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(647-654) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.