Surveillance Camera Anomaly Detection

Overview

The PolyU Centre for Advances in Reliability and Safety (CAiRS) has created a state-of-the-art (SOTA) modified residual network with a colour attention module, trained on a customised ‘Blurveillance’ dataset. The small model size outperforms other SOTA networks in edge applications. It classifies images into five categories Normal, Natural Blur, Defocus Blur, Dirt Blur and Spray Paint Blur.

  • Surveillance Camera Anomaly Detection 0
  • Surveillance Camera Anomaly Detection 1
  • Surveillance Camera Anomaly Detection 2
Research completion
2022
Commercialisation opportunities
IP licensing
Problem addressed

Smart surveillance cameras that are used in unconstrained environments can be tampered with due to either environmental factors or malicious human activity. This can blur the video content and make it difficult to identify what is happening in the scene. This can lead to mistakes and wrong real-time decisions.

Innovation
  • Features a unique modified residual network combined with a colour attention module that significantly outperforms other SOTA networks while keeping the model size small for edge applications.
  • The ‘Blurveillance’ dataset includes 10,000 surveillance images sorted into five different categories: normal, natural blur, defocus blur, dirt blur, and spray paint blur.
Key impact
  • Enables real-time diagnostic health/anomaly detection management of survelliance video systems.
  • Reduces hours required to monitor/inspect system status to zero.
    Features an automatic real-time signal to detect anomalies.
  • Reduces field service, video surveillance downtime, and cost of repair and maintenance.
Application
  • Surveillance camera systems with a large number of cameras
  • Smart lampposts
  • Automatically guided vehicles

Patent

  • PRC Invention Patent Application No. 202211032284.3
The Hong Kong Polytechnic University (PolyU)

With over 80 years of proud tradition and ranking among the world’s top 100 institutions, The Hong Kong Polytechnic University (PolyU) aspires to be a leading university with world-class research and education.

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