9 min read

AI Skin Analysis: Detect Concerns and Personalise Care

From imaging to personalised ingredient plans in minutes.

Published: March 20, 20249 min read

Skin Insights in Seconds

Computer vision meets dermatologist insight

Table of Contents

Capturing Quality Skin Data

High-quality input produces reliable readings; follow the capture checklist before each scan.

  1. Remove makeup and cleanse lightly to avoid surface interference.
  2. Shoot in diffuse light with the camera parallel to your face.
  3. Capture front and 45° angle views to give the model depth.
  4. Upload uncompressed images so texture analysis stays precise.

How AI Detects Concerns

Algorithms classify visible concerns and estimate severity based on pixel-level patterns.

  • Acne and congestion heatmaps pinpoint inflamed or clogged areas.
  • Pigmentation scoring tracks melasma, sunspots, and post-inflammatory marks.
  • Redness detection differentiates between sensitivity and vascular concerns.
  • Wrinkle depth and elasticity models anticipate future changes.

Matching Products to Analysis

By combining ingredient databases with your concern profile, AI suggests routines that respect sensitivity thresholds.

Pro Tips

  • Filter suggestions by budget or formulation preferences before purchasing.
  • Patch-test new actives even when a model recommends them.
  • Pair AI recommendations with professional reviews for medical-grade treatments.
  • Re-run analysis after each product cycle to confirm progress.

Analyse your skin with AI

Upload a close-up portrait to get personalised skin insights and ingredient suggestions.

Scan My Skin

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