Overview
📄️ Getting Started
Set up token, permissions, first scan
📄️ System Requirements
Devices, camera specs, native vs. web
📄️ SDKs
Android, Web, React Native integration
📄️ API Reference
Endpoint structure, parameters, payload
GlamAR’s AI Facial Skin Analysis uses deep learning and computer vision to evaluate skin health in real-time. With just one camera capture, it can detect 14+ skin conditions — from acne and wrinkles to pigmentation and pores — and return visualized, annotated results.
No wearables or external hardware required.
What Is It For?
- Provide personalized skincare insights to customers
- Power AI-driven product recommendations
- Enable skin assessments in apps, kiosks, or smart mirrors
- Support dermatology-lite solutions for beauty, wellness, and medtech
What It Detects
| Parameter | Category | Type | Range / Values | Annotated Image | Notes |
|---|---|---|---|---|---|
| Skin Score | Overall | Integer | 0–100 | ✅ | Overall score based on all sub-metrics |
| Skin Type | Classification | Class | oily, dry, normal, combination | ❌ | Based on U-zone and T-zone variation |
| Skin Tone | Classification | Class | fair, light, medium, olive, tan, deep | ❌ | Melanin-based classification |
| Skin Age | Classification | Integer | 18–80 | ❌ | Perceived age in years |
| Acne | Key Condition | Integer | 0–100 | ✅ | Whiteheads and inflamed pimples detection |
| Wrinkles | Key Condition | Integer | 0–100 | ✅ | Fine lines and deep fold estimation |
| Pores | Key Condition | Integer | 0–100 | ✅ | Visibility and density of pores |
| Eye Bags | Eye Area | Integer | 0–100 | ✅ | Lower eyelid puffiness |
| Under Eye | Eye Area | Integer | 0–100 | ✅ | Orbital fat changes |
| Dark Circles | Eye Area | Integer | 0–100 | ✅ | Hyperpigmentation under the eyes |
| Scars | Specific Issue | Integer | 0–100 | ✅ | Depth and presence of scars |
| Whiteheads | Specific Issue | Integer | 0–100 | ✅ | Closed comedones evaluation |
| Pigmentation | Specific Issue | Integer | 0–100 | ✅ | Local melanin concentration |
| Hydration | Specific Issue | Integer | 0–100 | ✅ | In development |
| Redness | Specific Issue | Integer | 0–100 | ✅ | In development |
| Projected Skin (1) | Projection | Integer | N/A | ✅ | Filtered forecast: 1-month outcome |
| Projected Skin (2) | Projection | Integer | N/A | ✅ | Filtered forecast: 3-month outcome |
Integration Options
| Method | Use Case |
|---|---|
| SDKs | For real-time camera capture and instant analysis (Web, Android, iOS) |
| APIs | For backend-based analysis using image input |
| Plugins | Shopify, Webflow, Mirror UI modules |
| Console | Upload datasets, test reports, view logs |
📦 SDK is ideal for real-time camera mode.
📡 API is best for batch or backend-triggered scans.
How It Works (Under the Hood)
- Image Capture – via live camera or uploaded image
- ML Inference – Face is analyzed using trained CNN models
- Result Generation – 14+ skin metrics + annotated photo
- Visual Feedback – Returned to client as JSON with image
Models are optimized to run in under 3 seconds on-device or .5s via cloud.