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 |
| Antigravity AI | Advanced Agentic Co-Pilot | Google DeepMind |
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.
Untuk mempermudah integrasi dan pengujian oleh dosen penguji atau pengembang lain, dokumentasi API VisionSafe telah dipublikasikan secara interaktif dan siap pakai:
- Interactive Swagger UI (FastAPI-style Playground): visionsafe-api.surge.sh
- Postman Collection: File spesifikasi Postman dapat diunduh dari direktori api_documentation/visionsafe_postman_col.json untuk langsung diimpor ke Postman.
- Automated API Tester: Skrip pengujian otomatis berbasis Python dapat diakses di scratch/test_api_supabase.py untuk memverifikasi integritas endpoint live secara real-time.
This project is licensed under the MIT License - see the LICENSE file for details.
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