Intelligent Perimeter Monitoring at the Edge
RF sensing and computer vision deliver threat detection, access control, and incident response without centralised data exposure — all AI inference runs on-premises.
Talk to an ExpertPerimeter Intelligence Without the Privacy Trade-Off
Conventional surveillance systems centralise video and sensor data in cloud platforms — creating privacy risks, compliance liabilities, and latency that degrades real-time response. OranSense Security runs all AI inference at the edge, on-premises, with no biometric data ever leaving the facility.
RF sensing detects intrusions without cameras in sensitive areas. Computer vision models identify threats, classify behaviours, and trigger automated responses in under two seconds. The system operates autonomously 24/7, escalating only confirmed incidents to human operators.
Key Capabilities
RF Intrusion Detection
Passive RF sensing detects human presence, movement, and metallic objects without cameras. Cover sensitive areas where video surveillance is prohibited while maintaining security integrity.
Behavioural Threat Classification
AI models classify behaviours — loitering, perimeter probing, abandoned objects, crowd formation — and assign threat scores in real time. Reduce false alarms by 90% versus motion-based systems.
Autonomous Access Control
AI-powered credential verification integrates with physical access control systems. Detect tailgating, forced entry, and credential sharing without manual review of access logs.
Incident Response Automation
Confirmed threat events trigger automated responses — door locking, lighting changes, PA announcements, and security team dispatch — within 2 seconds of detection.
Privacy-Preserving Analytics
All video analytics run on-edge with no raw video transmitted or stored in the cloud. GDPR and CCPA compliance by architecture — not policy. Anonymised metadata only leaves the edge.
Multi-Site Federation
Federate security intelligence across multiple sites without centralising raw data. AI threat models and incident patterns shared across the estate while data stays local.