Privacy-First Architecture
Edge processing, advanced AI models, and enterprise security. Every component designed with privacy as the foundation.
System Architecture
From camera to dashboard, privacy protection at every step
All video processing happens on-premise. The privacy module strips identity features before any data is transmitted. Only anonymized metadata and alerts reach the cloud.
AI Models
Purpose-built models trained specifically for school safety
Vision Model
Object and scene recognition optimized for campus environments
Object Detection
Identifies weapons, suspicious items, and safety hazards
Behavior Classifier
Recognizes aggressive behavior, fights, and distress patterns
Density Heatmapper
Maps crowd density and movement patterns across campus
Alert Prioritizer
Ranks incidents by severity and routes to appropriate responders
Privacy Sanitizer
Removes identity features from video before analysis
Edge Processing
All video analysis happens on-premise using dedicated edge nodes. This ensures sub-second response times and complete privacy protection.
Edge Node Specifications
Security Infrastructure
Enterprise-grade security at every layer
AES-256
End-to-end encryption for all data
TLS 1.3
Secure communications protocol
MFA Required
Multi-factor authentication
RBAC
Role-based access control