AI-Powered Security Surveillance and Intrusion Detection
Obzerve Secure adds AI video analytics to your existing IP cameras to detect perimeter intrusions, loitering and unauthorised entry into restricted areas in real time. Instead of relying on operators to watch every screen, your team receives instant alerts the moment a security rule is broken.
Your cameras just learned how to think like a security team.
Proactive AI Security Intelligence
Intrusion Detection
Key Capabilities
- Real-time breach detection: Instant alerts when a person or vehicle crosses a protected boundary
- Virtual fences: Draw perimeter lines on the camera view, with no physical sensors required
- Multi-zone monitoring: Protect several zones from a single camera
- Object classification: Separate people and vehicles from background movement
- Direction-based detection: Alert on inward crossings, outward crossings or both
Configuration Options
Draw detection zones, set entry and exit rules, adjust sensitivity, and filter by human, vehicle or both.
Loitering Monitoring
Key Capabilities
- Dwell-time tracking: Measures time spent in each zone for every subject
- Configurable thresholds: Set different time limits for different areas
- On-screen timer overlay: See how long a subject has been present
- Crowd density alerts: Get notified when too many people gather in one place
Configuration Options
Set time limits, mark zones, choose person or vehicle monitoring, and define escalation rules.
Restricted Area Protection
Key Capabilities
- Virtual restricted zones: Define protected areas on any camera view
- Unauthorised entry alerts: Immediate notification of unauthorised presence
- Person counting and occupancy limits: Track how many people are inside a zone
- Access control integration: Combine video detection with your access control setup
Configuration Options
Performance & Requirements
Secure processes video on site using near-edge AI, so detection runs locally and continues even without an internet connection. It works with the IP cameras you already have.
Detection Performance
- Detection accuracy: 95%+ in controlled environments
- False alarm reduction: Up to 70% vs. motion-only systems
- Recognition speed: Real-time, at camera frame rate
- Multi-object tracking: Multiple people and vehicles tracked simultaneously
- Monitoring: 24/7 continuous
Near-Edge Deployment Requirements
- Any IP camera with an RTSP stream
- ONE (Obzerve Near Edge) box, included
- 1080p minimum resolution recommended
- Network connectivity for alert transmission
- Power supply for the ONE box
Intelligent Security, Simplified Control
Obzerve Secure is configured from one dashboard. Security teams can define what to protect, configure detection rules, set alert conditions, and review security events in one place.
Every detection is logged, giving you a clear picture of security activity over time.
- Dashboard metrics: Daily intrusions, loitering incidents, zone heatmaps, peak hours and false alarm trends
- Reports: Scheduled reports and custom date ranges
- Export: PDF and CSV formats
Real-World Security Applications
Industrial Perimeter Protection
Secure a 2 km manufacturing boundary after hours. Virtual fences on existing cameras provide perimeter intrusion detection across the full boundary, while direction-based rules separate intruders from authorised outbound movement.
Corporate Campus Security
Critical Infrastructure Protection
Optimize Your Detection Performance
Intrusion detection
Loitering monitoring
Restricted areas
Frequently Asked Questions
Browse through our FAQs for clear, concise answers to your most pressing questions.
What is Obzerve Secure?
Obzerve Secure is an AI-powered security surveillance and intrusion detection solution that adds real-time video analytics to existing IP cameras. It detects perimeter intrusions, loitering and unauthorised activity in restricted areas.
Does Obzerve Secure work with my existing cameras?
Yes. Secure works with any RTSP/ONVIF-compatible IP camera, so there is no need to replace your current CCTV. A resolution of 1080p or higher is recommended.