Intozi’s AI intrusion detection solution uses video analytics to monitor restricted zones, detect unauthorized entry and trespassing, and help protect critical sites with real-time alerts.
Key Features
Monitor restricted zones continuously with intrusion detection software that instantly detects unauthorized entry and triggers real-time alerts.
Send instant notifications to security teams via mobile, email, or integrated platforms with AI intrusion detection software whenever a breach is detected.
Create virtual boundaries within any camera view using virtual perimeter security, eliminating the need for physical barriers or fencing.
Monitor multiple entry points and restricted zones simultaneously with AI perimeter security software from a single dashboard.
Automatically capture and store video evidence of intrusion events for investigation, audit trails, and compliance reporting.
Integrate with existing access control systems to support unauthorized access detection and verify authorized entry attempts.
Advanced Intrusion Detection with AI Video Analytics
Intelligent Perimeter & Zone Security
Gain complete visibility into restricted zones with continuous monitoring. The system detects unauthorized entry the moment it happens, helping security teams respond before incidents escalate.
Designed for real-world sites, this AI trespassing detection software performs accurately across varying lighting, weather, and terrain. Powered by deep learning, it delivers consistent, dependable detection without interruptions.
Define and monitor sensitive areas with restricted zone monitoring software to detect unauthorized entry and strengthen site security.
Intozi’s perimeter intrusion detection combines computer vision and edge AI to secure sites at scale. The platform is designed to expand across multiple locations, supporting unified video analytics and centralized security management.
Distinguish real threats from false alarms with intelligent intrusion detection that reduces noise and improves response accuracy.
Turn intrusion data into actionable insights with reports on breach frequency, high-risk zones, and response times for better security planning.
AI Intrusion Detection – How Does It Work?
Capture live video from existing cameras across the perimeter
Define virtual perimeters and restricted zones
Detect and track people entering monitored areas
Identify unauthorized entry and trespassing
Trigger real-time alerts with supporting video evidence
Log incidents for investigation, reporting, and compliance
Where AI Intrusion Detection Adds Value
Secure production areas, warehouses, and restricted zones from unauthorized access.
Protect critical assets and restricted zones from unauthorized entry in high-risk environments.
Secure server rooms, restricted technical areas, and critical infrastructure from unauthorized access.
Monitor large perimeters, loading areas, and restricted storage zones to prevent unauthorized entry.
Strengthen perimeter security around sensitive buildings and restricted operational areas.
Protect property boundaries and restricted areas without relying on physical barriers.
Secure runways, terminals, and staff-only areas against unauthorized access.
Prevent unauthorized access to active work zones and protect valuable equipment after hours.
Key Benefits of AI Intrusion Detection
Detect unauthorized entry before it escalates into a security incident.
Notify security teams instantly when unauthorized entry is detected.
Secure sensitive areas with virtual zones instead of additional fencing.
Automatically capture video evidence for every intrusion event.
Monitor multiple sites and restricted zones from a centralized dashboard.
Use intrusion analytics to identify high-risk zones and improve security planning.
Frequently Asked Questions (FAQs)
Intrusion detection is an AI-powered technology that uses video analytics to monitor restricted zones and identify unauthorized entry in real time. By analyzing live camera feeds, it detects trespassing, triggers instant alerts, and logs video evidence, helping protect critical infrastructure, industrial sites, and private facilities.
AI intrusion detection works by applying computer vision to live video of a monitored perimeter. The software defines virtual zones, detects and tracks people entering those areas, and flags unauthorized entry instantly. It then sends real-time alerts and logs video evidence for investigation and compliance.
A virtual perimeter is a software-defined boundary created within a camera’s field of view, without any physical fence or barrier. AI intrusion detection uses these virtual zones to monitor restricted areas, triggering alerts whenever someone crosses the defined boundary, making it faster and cheaper to secure large or irregular sites.
AI trespassing detection is highly accurate, using deep learning to distinguish real intrusions from false alarms caused by animals, weather, or shadows. Continuous learning and real-time processing help it reliably detect genuine threats across varying lighting, weather, and terrain conditions.
Yes. Intozi’s intrusion detection software integrates with existing cameras, including current CCTV, NVR, and VMS platforms. The AI models run on current video feeds, so organisations can use their existing infrastructure, making deployment faster, more cost-effective, and scalable across sites.
Ikshana is Intozi’s AI video analytics platform that powers intrusion and trespassing detection alongside other security and safety modules. It runs AI models on live camera feeds to monitor perimeters, generate real-time alerts, and log video evidence through a single dashboard. Because Ikshana is modular, organizations can scale intrusion detection across multiple sites and combine it with tailgating detection, surveillance, and safety modules in one system.
