01
Guided photo capture
Provide clear instructions for lighting, positioning, and image quality so users understand how to submit suitable photos when the feature is available.
AI SKIN ANALYSIS
Learn more about your skin, one step at a time.
NeoxCare is developing a guided facial-photo experience intended to support skincare discovery. Any automated observations should be treated as estimates, with clear limits and privacy safeguards—not as a medical diagnosis.
SKIN INSIGHTS
Photo guidance
Supported observations
Privacy matters
WHAT IT IS DESIGNED TO DO
Support skincare discovery—not replace professional care.
A photo-analysis tool may help organize selected visible skin observations when its capabilities have been implemented and properly validated. Results depend on image quality, lighting, camera conditions, and the limits of the system.
02
Supported observations
Display only the observations the system has been designed and validated to assess, with plain-language explanations of uncertainty.
03
Next-step education
Connect general skin education and product discovery to a user's stated preferences without promising a specific outcome.
Availability note: This page describes the intended experience. It does not confirm that a working photo scanner or trained analysis model is currently available on the live website.
HOW THE EXPERIENCE MAY WORK
A simple, guided process.
The following steps describe a possible workflow for a supported version of the feature.
STEP 01
Review the instructions
Understand the purpose of the feature, its limitations, and how submitted images will be handled.
STEP 02
Capture suitable photos
Follow guidance for face position, lighting, and image clarity. Only submit your own photos or images you have permission to use.
STEP 03
Review observations
If analysis is available, review supported observations and any uncertainty or limitations shown with them.
STEP 04
Explore next steps
Use educational content and structured product matching as optional discovery tools, not as a diagnosis or treatment plan.
FROM ANALYSIS TO PRODUCT DISCOVERY
Separate the skin model from the matching rules.
If a skin-analysis model is implemented, it can produce structured observations. NeoxCare's planned product recommendation engine is a separate rule-based component that can match structured concerns with product and ingredient information.
A
Analysis output
Produces only supported observations and confidence or limitation information where appropriate.
B
Rule-based matching
Uses documented rules and product data to filter or rank options according to concerns, preferences, budget, and availability.
C
User decision
Shows relevant details so users can compare options and make their own choices. Product suitability is not guaranteed.
PRIVACY AND SAFETY
Your photos deserve careful handling.
Facial images are personal data. A responsible service should explain its collection, purpose, storage, access, retention, deletion, and any sharing before users submit images.
✓
Clear consent
Explain why images are requested and obtain appropriate consent before processing them.
✓
Secure handling
Use access controls, secure transmission, appropriate storage protections, and a documented retention policy.
✓
Honest limitations
Explain that lighting, image quality, and other factors can affect results. Do not present outputs as medical diagnoses.
Important: Do not use automated skin observations to diagnose a condition or decide on medical treatment. If you have persistent, severe, changing, or concerning symptoms, consult a qualified healthcare professional.
Explore the wider skincare experience.
Learn how NeoxCare plans to connect education, personalization, and structured product matching.
COMMON QUESTIONS
AI skin analysis FAQ.
Can AI skin analysis diagnose acne or another skin disease?
No. A consumer-facing photo-analysis feature should not be treated as a medical diagnostic tool. Consult a qualified healthcare professional for diagnosis or treatment.
Will three facial photos guarantee a better result?
No number of photos guarantees accuracy. If a multi-photo workflow is implemented, its requirements and performance need to be tested and explained clearly.
Does the product recommendation engine also need AI?
No. The planned recommendation engine can use rule-based logic to match structured concerns and preferences against product and ingredient data.
Is the scanner available on the website today?
This page explains the intended feature and does not confirm live availability. Check the current product release before relying on it.