Perimeter Intrusion Detection System

Scylla high-precision AI surveillance technology can effectively filter out up to 99.95% of false alarms, minimizing noise fatigue, unnecessary panic and expenses.

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How it works

Scylla Perimeter Intrusion Detection system effectively identifies humans and vehicles in a defined zone, at a defined time, filtering out the wind, shadows, and wildlife that trigger false alarms on legacy motion sensors.

Scylla can be seamlessly integrated with your existing security infrastructure and connects directly to cameras, monitoring your perimeter in real time, 24/7.

Where cameras already run embedded motion detection, Scylla can instead receive only the flagged frames, confirm whether a human or vehicle caused the trigger, and issue an alert solely on confirmed detections, turning a noisy motion sensor into a verified intrusion system.

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Scylla perimeter intrusion detection reliable real-time operation on CCTV cameras

Scylla AI supports

Detecting humans and vehicles in restricted areas

Effective false alarm filtering

Flexible deployment on the edge, cloud or premises

Operation on drones and PTZ cameras

Multi-zone and multi-schedule configuration

Reliable perimeter intrusion detection for your peace of mind

Scylla Perimeter Intrusion Detection is a robust, reliable, and user-friendly security solution that can be seamlessly integrated with your existing infrastructure and helps to effectively safeguard your property against unauthorized access or potential threats.

Reliable long-range detection

Scylla detects persons at a minimum of 15 pixels per meter and vehicles at 10 PPM, delivering reliable detection at approximately 150 meters on standard Full HD cameras, and significantly farther with higher-resolution cameras. Detection range scales with your camera hardware, not the other way around.

99.95% Detection Accuracy

Scylla Perimeter Intrusion Detection identifies and alerts on intrusions with 99.95% accuracy. That precision means your team responds to real threats, not wind-blown debris, passing animals, or shadow movement, cutting the alert fatigue that erodes response times in every monitoring center.

Operates Effectively in Harsh and Low-Visibility Conditions

Scylla operates reliably with IR and thermal cameras, moving backgrounds, and low-visibility conditions where standard motion detection fails, including poor illumination, weather interference, and cluttered or dynamic scenes.

Edge-Native, Connectivity-Independent

Scylla Perimeter Intrusion Detection runs natively on the edge, analyzing and responding to potential intrusions in real time, at the point of capture, with no dependency on constant external connectivity. Detection accuracy and alert speed hold steady even when internet connectivity is limited, degraded, or unavailable.

Multi-Mode Detection for Any Camera Type

Scylla adapts its detection mode to your hardware and use case: ‘motion-detection guided’ for fixed cameras with existing motion triggers, ‘high-noise mode’ for cluttered, high-activity, or high-interference environments, and pure ‘object-detection’ is purpose-built for constantly moving scenes, including drone footage, body cameras, and other mobile platforms.

Fast, Flexible Deployment Across Your Existing Stack

Scylla can be integrated directly with the VMS and camera systems you already run, including Milestone, Genetec, Nx Witness, exacqVision, and Immix, among others, turning your current infrastructure into an AI-verified perimeter without a hardware overhaul.