What is Skin Imaging System?
Skin face imaging is a non-invasive technology used in dermatology and aesthetics that captures high-resolution images to analyze both surface and subsurface skin conditions. It provides professionals with valuable insights for diagnosing, monitoring, and treating various skin issues, guiding effective treatment plans and tracking progress.
Skin Imaging Analysis Through 3 Steps
Our skin imaging system scans photos to analyze and detect 15 different skin concerns.
Receive a detailed skin report with objective data and skin age based on the 15 skin concerns.
Receive a recommended skincare routine to target various concerns based on the skin report.
What does skin imaging system offer?
Similar to an AI skin scanner, it offers a detailed analysis of skin conditions, identifying concerns like wrinkles, pores, and acne, enabling personalized skincare routines and treatment plans.
Skin Imaging System Detect 15 Skin Attributes
Face Wrinkles
The AI detects and analyzes wrinkles across facial areas, including periocular, smile lines, marionette, glabellar, forehead, and crow’s feet.
Dark Spots on Face
The AI algorithm identifies different levels of dark spots and excludes non-dark-spot areas like skin mole, facial hair, or other false readings.
Face Acne
The algorithm can do a 180-degree full face analysis to identify three types of acne: inflammatory acne, whiteheads, and blackheads.
Face Skin Texture
AI algorithm for texture detects bumps and dents on users’ skin and offers users an overall assessment of their skin smoothness.
Pores on Face
The AI algorithm detects visible pores across key areas, including cheeks, forehead, and nose, and highlights them with AR overlays.
Dark Circles
The AI algorithm scans the under-eye area for dark circles. The dark circle area is clearly marked and users can see the severity of this condition.
Eyebags
AI algorithm for dark circles can also analyze eye bag condition. AR overlays delineate the size and the puffiness of the user’s eye bag condition.
Tear Trough
Our advanced AI algorithm can detect and identify tear troughs by closely analyzing patterns in the under-eye area to assess the severity of the condition.
Droopy Upper Eyelid
The AI algorithm examines the outer corner of the upper eyelid and identifies sagging levels in one or both eyes.
Droopy Lower Eyelid
The AI algorithm examines the outer corner of the lower eyelid and identifies sagging levels in one or both eyes.
Facial Redness
The AI algorithm analyzes and detects subtle symptoms before the skin condition causes irritation.
Skin Firmness
The AI algorithm analyzes skin firmness and identifies the degree of skin sagging on both sides of the chin.
Skin Radiance
AI algorithm analyzes overall skin clarity and luminosity to provide an assessment score, helping user to improve the appearance of radiant skin.
Skin Hydration
A sophisticated AI deep learning algorithm analyzes and detects skin hydration levels. Various indicators of skin dehydration are recognized.
Face Oiliness
AI algorithm categorizes oiliness into three levels and shows results using AR overlays to help users recognize skin areas requiring more attention.
Skin Type
This advanced skin technology detects signs of sensitive skin like dryness, oiliness, and redness, helping determine the user's skin type.