Perimeter & Intrusion Detection

The Problem

Traditional perimeter security relies on motion sensors and basic video motion detection that generate excessive false alarms — triggered by animals, weather, shadows, and vegetation movement. Security teams become desensitized to alerts, and real intrusions get lost in the noise. Reviewing hours of footage after an incident is reactive and resource-intensive.

How Computer Vision Solves It

Computer vision analyzes CCTV feeds in real time, distinguishing genuine threats — people, vehicles, objects in restricted zones — from benign motion. Person detection, vehicle classification, and loitering analysis replace simple motion triggers with context-aware alerting.

The Challenge with Current Solutions

Outdoor environments present extreme variability — day/night cycles, weather, seasonal foliage changes. Camera coverage has blind spots and overlap inconsistencies. Distinguishing authorized personnel from intruders requires context. Low-light and IR imagery behave differently from daylight footage.

What vfrog Brings That's Different

vfrog trains on your specific site, cameras, and threat scenarios. Synthetic data covers nighttime, weather, and seasonal variations. Zone-specific rules define what constitutes a violation per area. Edge deployment processes feeds locally for instant alerting without cloud dependency.

Key Benefits

• Dramatic reduction in false alarms versus motion sensors
• Real-time threat detection and alerting
• Works with existing CCTV infrastructure
• Zone-specific security rules and policies
• Day and night operation with IR support
• Incident forensics with automated event logging