Skin Atlas
What Skin Atlas does, how it fits into a workflow alongside LIQA and Face Skin Analysis 3.0, and when to reach for it.
Skin Atlas is offered as a premium feature.
Please contact your account manager to learn more about the pricing and activate this feature.
Overview
Skin Atlas is an innovative, patented technology by Haut.AI that enables the anonymization of facial images while retaining only the essential skin attributes for accurate analysis. Designed to deliver privacy-first, AI-driven skin diagnostics, it removes all personally-identifiable features—such as eyes, mouth, hair, and background—using generative AI to reconstruct non-skin regions with photorealistic skin textures.
Skin Atlas is also covered on the Face Analysis 3.0 product page on haut.ai.
What Skin Atlas Does
Facial Keypoint Detection & Image Standardization Skin Atlas begins by detecting facial landmarks to align and standardize the input image for consistent downstream processing.
Segmentation of Skin vs. Non‑Skin Regions The system differentiates skin pixels from non-skin elements—like hair, eyes, and background—ensuring that only relevant skin textures are preserved for analysis.
Generative Reconstruction with Photorealistic Skin Patterns Skin Atlas then generates photo-realistic skin patterns to fill the non-skin areas, creating a fully anonymized image. This process eliminates irrelevant data, such as hair and background details, ensuring that only pertinent skin information is analyzed.
Enhanced Privacy & Processing Efficiency Transforming complete facial images into “Skin Atlas” format boosts both privacy standards and processing speed for high-volume, secure facial image analysis workflows.
Workflow Integration with LIQA and Face Skin Analysis 3.0
Image Capture with LIQA High-quality image acquisition is handled via LIQA (“Live Image Quality Assurance”)—Haut.AI’s smart camera module. LIQA provides real-time guidance (e.g., framing, lighting) so that the captured image meets diagnostic standards. Read more about using anonymized images pipeline: Access anonymized image processing pipeline.
Anonymization with Skin Atlas The LIQA-captured image is then fed to the Skin Atlas pipeline:
Facial landmarks are localized and the image is standardized.
Skin areas are segmented, and non-skin pixels are overwritten with synthetic skin texture.
The output is a fully anonymized yet analytically rich skin map.
Compliance with Face Skin Analysis 3.0 Skin Atlas outputs are compatible with Face Skin Analysis 3.0, Haut.AI’s latest facial analysis suite—meaning the anonymized images can be directly used for biomarker extraction, diagnostic scoring, or skincare recommendation engines without requiring additional approvals or format conversions.
For product use cases, trade-offs, and implementation steps, see E2E Anonymization Pipeline.
When to Use Skin Atlas
E-commerce personalization
Customers can upload selfies for tailored skincare recommendations without compromising privacy.
Clinical trials & research departments
Participants' identities are protected while enabling precise, unbiased skin diagnostics.
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