Overview
The T3 AI Intelligent Scalp Analyzer is a next-generation diagnostic device designed for clinics, salons, and hair treatment centers to deliver precise, data-driven scalp and hair analysis. Powered by advanced artificial intelligence and multi-spectral imaging technology, it transforms microscopic scalp conditions into clear visual insights that help professionals diagnose, treat, and recommend with confidence.
Specifications
- Reporting
- Single and comprehensive reports with QR sharing
- Technology
- AI scalp analysis + multi-spectral imaging
- Scan Regions
- Forehead, top, left, right, and back scalp
- Imaging Modes
- White, UV, Positive Polarized, Negative Polarized
- Magnification
- 50x and 200x probes
- Data Management
- Cloud storage, profile management, and analytics dashboard
- Detection Indicators
- 13 scalp and hair parameters
Features
- AI-powered scalp diagnosis with automated detection of multiple scalp conditions
- Four-spectrum imaging: White Light, UV Light, Positive Polarized Light, and Negative Polarized Light
- 50x and 200x magnification probes for crystal-clear scalp and follicle inspection
- 13 advanced detection indicators including hair density, sebum, moisture, dandruff, sensitivity, and follicle health
- Five-region scalp analysis covering forehead, top, left, right, and back scalp areas
- Comprehensive Mode, Free Mode, and Real-Time Preview for flexible diagnosis workflows
- AI-generated reports with scoring, grading, visual comparison, and QR-based sharing
- Cloud data storage with client history, analytics dashboard, and multi-device management
Benefits
- Enhances consultation accuracy with clear visual proof
- Builds client trust through detailed AI-supported reports
- Supports personalized scalp and hair treatment planning
- Improves treatment conversion with data-driven recommendations
- Helps clinics track scalp progress over time
Best for
Hair transplant clinics and trichology centersDermatology and aesthetic clinicsSalons offering advanced scalp consultationsScalp treatment studios seeking AI-backed diagnostics
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