Product · Sentinel Live
AI-powered real-time facial recognition
Sentinel Live connects to your CCTV streams for live monitoring—real-time verification, instant alerts, and operator workflows built for speed and clarity.
Overview
See Sentinel Live in action
Real-time stream analysis and alerting—press play when you are ready.
Platform
Seamless AI integration for law enforcement, stadiums, and corporate security
A powerful real-time facial recognition layer that works with your existing CCTV and security stack—alerts, dashboards, and integrations built for operational teams.
Designed for Law Enforcement, Stadiums, Places of Worship, and Corporate Security
Purpose-built for diverse security environments, Sentinel Live adapts to your specific needs across multiple industries and use cases.
AI-Powered Face Recognition with 99.82% Accuracy
Industry-leading accuracy that outperforms Google's 99.63% benchmark, ensuring reliable identification in real-world conditions.
Real-Time Monitoring & Instant Alerts
Security teams receive immediate notifications for recognized individuals, enabling proactive response and enhanced situational awareness.
Seamless CCTV Integration
Works with your existing CCTV infrastructure without requiring extensive hardware upgrades. Connect RTSP-enabled cameras and USB webcams effortlessly.
Secure, Scalable, and GDPR-Compliant
Built with privacy and compliance at its core, meeting GDPR and Swiss data security standards.
Edge AI Processing
Operates on IoT Edge Devices (NVIDIA Jetson) or HPE servers for low-latency, on-premise processing.
Mobile & Web-Based Dashboard
Security teams get live updates anytime, anywhere through intuitive mobile and web interfaces.
Custom Watchlists & Alerts
Create, update, and manage whitelists and blacklists with instant alert notifications.
Works in Real-World Conditions
Handles low light, motion blur, and different angles with consistent accuracy.
Seamless Data Integration
Integrate data with existing security and CRM systems for comprehensive workflow management.
How Sentinel Live Works
A step-by-step breakdown of the real-time surveillance process, from video stream integration and AI-driven face detection to instant alerts and seamless system integration — optimized for speed, accuracy, and operational efficiency.
Real-Time Video Analysis
Connect to existing CCTV streams for live monitoring.
AI-Driven Face Detection
Automatically detects and analyzes faces in real-time.
Instant Alert Notifications
Receive immediate alerts for recognized individuals.
Seamless Data Integration
Integrate data with existing security and CRM systems.
Included in the process
Capabilities
What makes Sentinel Live unique?
A comprehensive AI-powered security layer—real-time detection, integrations, edge deployment, and dashboards your teams can run with.
Real-Time AI Surveillance
Detect and verify faces instantly.
Seamless CCTV Integration
Works with RTSP-enabled cameras & USB webcams.
High Accuracy (99.82%)
Outperforms industry standards in facial recognition.
Custom Watchlists & Alerts
Create, update, and manage whitelists & blacklists.
Edge AI Processing
Operates on IoT Edge Devices (NVIDIA Jetson) or HPE servers.
Privacy & Compliance
GDPR & Swiss data security compliant.
Works in Real-World Conditions
Handles low light, motion blur, and different angles.
Mobile & Web-Based Dashboard
Security teams get live updates anytime, anywhere.
Sectors
Who uses Sentinel Live?
Corporate security, public safety, venues, transport, and smart-city operators—real-time AI surveillance tuned for live operations.
Corporate Security
Monitor restricted areas, prevent insider threats.
Law Enforcement & Public Safety
Identify suspects in real-time for proactive security.
Stadiums & Large Events
Ensure secure entry, prevent unauthorized access.
Places of Worship
Enhance security in mosques, churches, and synagogues.
Smart Cities & Public Transport
Improve urban surveillance & passenger safety.
Proof
Performance and benchmarks
Industry-leading accuracy and throughput for live streams—request full methodology and deployment sizing from our team.
Industry benchmark
Safeza AVA-X Sentinel Live achieves 99.82% accuracy on the Labeled Faces in the Wild (LFW) dataset, surpassing Google's 99.63%.
Speed & scalability
High throughput on edge devices (Jetson Nano, Jetson Xavier NX) and HPE-class servers for demanding multi-camera sites.
Security compliance
GDPR, Swiss privacy expectations, and ISO 27001-ready deployment patterns.
Next step
Upgrade security with real-time AI facial recognition
Book a walkthrough or speak to our team about Sentinel Live for your venues, operations, and control rooms—Swiss-engineered, edge-ready, alert-driven.
