High-Integrity Vision Intelligence Ecosystem
AI-Powered Vision Intelligence: Advanced Image Processing & Secure Data Analytics. Mitigating Myopia with Real-time AI. Sebuah sistem mitigasi risiko mata minus berbasis Computer Vision yang berjalan di latar belakang (Background Service) untuk menjaga kesehatan mata pengguna.
VISIONSAFE (Capstone Part 2) represents the evolution of eye-health technology. Utilizing MediaPipe Face Mesh, the system calculates the exact Z-coordinate of the user's eyes relative to the screen.
When a critical distance threshold (<30cm) is breached, the Surgical Overlay Control triggers an intelligent Gaussian Blur intervention, ensuring the user maintains optimal ergonomic standards.
This project is a high-stakes collaboration between top-tier engineers:
| Name | Role | Profile |
|---|---|---|
| M. Irsyad Fachryanto | Lead System Architect | @mirsydfchrynto |
| Marsha Dwi Lucyana | Lead Frontend & UX Engineer | @marshadwi |
Group Identity: [Architect-Elite / Nexus-E]
- Real-time Edge AI Detection: Precise eye-to-screen distance measurement with sub-10ms latency.
- Intelligent Visual Intervention: Transparent Gaussian Blur overlay for forced ergonomic compliance.
- Robust Background Engine: Seamless background service operation even during high-load gaming sessions.
- Analytics Dashboard: Real-time health statistics and exposure monitoring via Supabase.
- Core Engine: Flutter (Dart) with High-Performance Android Interop.
- AI/ML: Google MediaPipe Face Mesh (Edge-Optimized).
- Persistence: Supabase (PostgreSQL) for secure user analytics.
- System Control: Android Foreground Service & Advanced Overlay Window permissions.
- Clone this repository.
- Execute
flutter pub get. - Grant "Appear on Top" (Overlay) and Camera permissions on the target Android device.
- Initialize "Start Protection" to engage the eye-health assistant.
This project is licensed under the MIT License - see the LICENSE file for details.
© 2026 Architect-Elite. All Rights Reserved.