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Case Study: Perimeter Intrusion Detection Systems (PIDS) | Unicircuit
Case Study · PIDS Deployment
🚧 CRITICAL INFRASTRUCTURE PROTECTION

Perimeter Intrusion Detection Systems
(PIDS) – Case Study

How Unicircuit reduced security breaches by 95% and false alarms by 90% for a 250‑acre industrial facility using AI‑powered multi‑sensor fusion.

95%
Reduction in Breaches
90%
False Alarm Reduction
<5s
Alert Response Time
24/7
AI‑Powered Monitoring

Client Profile

A 250‑acre power generation facility with critical assets including substations, fuel storage, and control rooms. The site handled thousands of personnel and vehicles daily, with perimeter spanning over 8 km of fencing and open terrain.

Key Challenges

  • ✗ Frequent perimeter breaches (average 12/month) via fence cutting and open areas
  • ✗ Legacy fence sensors generated 85% false alarms (animals, weather)
  • ✗ No real‑time correlation with video – delayed incident verification
  • ✗ Inability to detect intrusions in dark or foggy conditions
Unicircuit Solution

Unicircuit deployed a multi‑layer Perimeter Intrusion Detection System (PIDS) combining fiber optic sensing, microwave barriers, and thermal/radar cameras – all integrated into a single command center with AI‑based analytics.

Fiber Optic Sensing

Installed 8 km of fence‑mounted fiber optic cable detecting vibrations, cuts, and climbing with 5m location accuracy.

Microwave Barriers

Deployed 24 invisible microwave curtains across open areas and access roads – immune to wind, rain, and fog.

Thermal + Radar Cameras

12 AI‑enabled thermal cameras with radar for day/night intrusion detection, auto‑tracking, and instant video verification.

Seamless Integration: The PIDS was integrated with existing video surveillance (CCTV), access control, and building automation. Security personnel receive unified alerts on a single dashboard with live video pop‑ups and automated siren/lights.
Implementation Phases

Phase 1 – Assessment

Perimeter walk‑down, risk analysis, sensor placement design, and integration planning (4 weeks).

Phase 2 – Installation

Fiber optic cabling, microwave barrier alignment, thermal camera mounting, and network integration (6 weeks).

Phase 3 – AI Training

Machine learning models trained to distinguish human intrusions from animals/vehicles, reducing false alarms.

Phase 4 – Handover

24/7 monitoring handover, staff training, and SLA‑based maintenance (2 weeks).

Measurable Results

Security Improvements

  • 95% reduction in successful perimeter breaches
  • 90% reduction in nuisance alarms (from 85% false positive rate to 8%)
  • 100% coverage of all perimeter zones
  • Average alert-to-verification time: <5 seconds

Operational ROI

  • ₹42 lakh annual savings in security manpower and incident response
  • 70% reduction in security patrol hours
  • Zero security‑related regulatory penalties in 18 months
  • ROI achieved in 11 months
“Unicircuit’s PIDS transformed our perimeter security. We went from reacting to incidents hours later to preventing them in real time. The AI‑powered false alarm filtering is a game‑changer – our control room now trusts every alert.”
RK
Rakesh Kulkarni
Chief Security Officer, Industrial Power Solutions
🔧 Technology Stack
Fiber Optic Sensing Microwave Barriers Thermal Imaging Radar Detection AI Video Analytics Unified VMS

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0935-947-5770  |  info@unicircuites.com

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