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  1. Home
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  3. TrustWatch

TrustWatch

AI-driven mobile application for authenticating luxury watches using advanced artificial intelligence to distinguish genuine from counterfeit timepieces.

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Introduction

TrustWatch is an innovative AI-powered mobile application designed specifically for luxury watch authentication. It leverages advanced artificial intelligence and machine learning technologies to analyze watch images and determine authenticity with high accuracy.

Key Features:

  • AI-Powered Authentication: Uses proprietary AI models trained on thousands of images of genuine and fake watches to analyze dials, logos, hands, markers, cases, bezels, and crowns
  • Broad Brand Coverage: Supports authentication for 6+ luxury watch brands including Rolex, IWC, Panerai, Omega, Richard Mille, and Patek Philippe, covering over 500 different models
  • High Accuracy: Achieves 96.2% accuracy through K-Fold Cross Validation testing
  • Mobile-First Design: Optimized for smartphone use with camera integration for easy photo capture
  • Continuous Learning: AI model improves over time with new data and user contributions
  • User-Friendly Interface: Simple three-step process: upload photo, AI analysis, share results

Target Users:

  • Watch enthusiasts and collectors
  • Jewelers and watch retailers
  • Watch repair shops
  • Online watch marketplace buyers and sellers

Unique Selling Points:

  • Saves users from expensive fake watch purchases (users report saving up to £15k)
  • Eliminates the need for physical expert consultations
  • Provides results in seconds versus traditional authentication processes
  • Subscription-based model with unlimited scans
  • Future mobile app development planned for Android and iOS

Technical Implementation:

  • Uses supervised learning with TensorFlow for image classification
  • Trained on extensive datasets of labeled watch images
  • Web-based platform accessible via smartphone, tablet, or PC
  • Payment integration with Visa, Mastercard, and American Express
Back

Information

  • Publisher
    Hoken Tech
  • Websitewww.hokentech.tech
  • Published date2026/02/05

Categories

  • AI
  • Clothes

Tags

  • ai
  • mobile-app
  • tool

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