Capteurs de Clôture pour Sécurité Périmétrique

The main types are fiber optic sensing cable, vibration sensors, taut-wire systems, buried cable, microwave or radar barriers, and video analytics. Many real projects combine a fence sensor for detection with cameras for verification.

The differentiators are detection length, cut and climb detection, zone accuracy, nuisance-alarm filtering, field power needs, weather behavior, maintenance access, integration outputs, and how easily alarms trigger CCTV verification.

The strongest real-time workflow uses sensor analytics to detect the physical fence disturbance and video analytics or operator review to verify what happened in the alarm zone. Camera-only analytics can help classify events but should not be the only detection layer on high-risk perimeters.

Yes, properly installed fence sensors can detect cutting, climbing, lifting, impacts, and tampering. The exact event types depend on the sensor technology, fence condition, calibration, and alarm thresholds.

They reduce false alarms through calibration, zone tuning, event classification, weather filtering, fence maintenance, and CCTV verification. The goal is to separate human intrusion patterns from wind, loose fabric, animals, vegetation, and nearby traffic.