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Case Study 5 min read

Enhancing Security and Operational Intelligence at Paddington Square with PercepVision AI

Paddington Square, a landmark development in central London, has partnered with PercepVision AI Ltd to elevate its security and crowd management capabilities through advanced AI-powered video analytics.

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Xiaoyun Yang CEO of Percepvision
Nov 6, 2025
Paddington Square Glass Building

The project, delivered in collaboration with CIS Security, showcases how intelligent surveillance can transform public space operations.

The Challenge: Visibility at Scale

Before the integration of AI, the security operations center (SOC) relied heavily on manual monitoring. With dozens of camera feeds covering entrances, retail floors, and the piazza, operators faced "video fatigue," increasing the risk that critical incidents might be missed.

The primary requirements for the new system were:

  • Enhance real-time situational awareness across public and restricted zones.
  • Support proactive crowd management during peak pedestrian flows.
  • Minimize false alarms and improve response accuracy for security teams.
  • Demonstrate scalable AI integration with existing CCTV infrastructure.
Scalable CCTV AI Integration Dashboard showing real-time flow analytics

The Solution: Intelligent Layering

PercepVision AI deployed its AI-driven video analytics platform across Paddington Square’s CCTV network, enabling:

People Counting & Crowd Management

  • Real-time pedestrian flow analysis based on movement and density.
  • Graphical overlays to highlight congestion zones and trigger alerts.
  • Supports operational decisions for crowd dispersal and access control.

Technical highlights:

  • Head detection accuracy at >30 pixels in 1080p resolution.
  • Crowd density mapping with pixel-level granularity for precision monitoring.

Intelligent Intruder Detection

  • AI models trained to identify abnormal movement patterns and unauthorized access.
  • Night-time detection rate exceeding 98%, ensuring 24/7 vigilance.
  • Seamless integration with CIS Security’s response protocols.

Technical highlights:

  • Detection of both pedestrian and vehicle intrusions with high fidelity.
  • Adaptive learning to reduce false positives and improve threat classification.

Impact

  • Operational Efficiency: Security teams now receive actionable alerts, reducing manual monitoring load.
  • Safety Assurance: Enhanced visibility into crowd dynamics supports safer public navigation.
  • Scalable Deployment: The Paddington Square rollout serves as a blueprint for future smart surveillance projects across London.

Stakeholder Collaboration

This project exemplifies cross-functional innovation, with:

  • PercepVision AI providing the core analytics engine.
  • CIS Security managing frontline implementation and oversight.
  • Paddington Square management aligning technology with public space strategy.

Looking Ahead

PercepVision AI continues to refine its models with real-world data from Paddington Square, aiming to introduce:

  • Predictive analytics for crowd surges.
  • Behavioural anomaly detection for public safety.
  • Integration with building management systems for holistic oversight.
Case Study Smart Cities AI
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