This project is licensed under the MIT License - see the LICENSE file for details.
Aegis-Ignis is an intelligent smart building security system that combines real-time fire detection, face recognition, and occupancy monitoring
The system provides instant visibility, intelligent alerts, and rapid emergency response through a unified platform that keeps people safe and assets protected.
-ML: YOLOv8-based fire and smoke detection.
-Face Recognition: Fast employee identification using InsightFace embeddings.
-Multi-Channel Alerts: WhatsApp, SMS, and voice notifications via N8N with severity based routing
-Employee Registration Portal: Simple face registration with photo upload and automatic embedding generation
| Dashboard Overview | Login Overview | Camera Management |
|---|---|---|
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| Fire Alerts | Employee Management | Face Registration |
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| Mobile Overview |
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| Test Coverage |
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- Backend tests:
cd Server && php artisan test - Python services: Unit tests for ML models and detection algorithms
- Frontend tests: React component testing with Vitest
| Model Performance |
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| Training Dataset | Model Performance |
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The system uses N8N for intelligent alert routing and multi-channel notifications:
- Webhook Trigger: Receives fire alerts from Alert Manager
- Alert Type Routing:
FIRE_EMERGENCY: Standard fire detection alertsCRITICAL_EVACUATION: Alerts when people are present on floorPRESENCE_UPDATE: Regular occupancy updates
- Multi-Channel Delivery: WhatsApp, SMS, Voice calls based on severity
- Backend Integration: Automatic logging and alert history updates
Workflow configuration available in n8n-workflow-fire-alert.json
| Tool | Purpose |
|---|---|
| N8N | Workflow automation for multi-channel alerts |
| Twilio | WhatsApp, and Voice call integration |
| MLFlow | ML model tracking and registry |
| PostgreSQL | Primary database for all system data |
| Docker | Containerized PostgreSQL deployment |
| Dockers | Postman |
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| CI/CD Pipeline |
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Aegis-Ignis - Intelligent Smart Building Security System
Protecting buildings, one detection at a time.

















