Camera Lens Status Monitoring

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Customer

A CCTV Camera installer in India.

Project Details

  • Duration: 1 week

Technologies:

  • Machine learning
  • OpenCV
  • Python
  • Image Processing
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Problem

Businesses, organizations and companies using outdoor security cameras often struggle to ensure their surveillance systems maintain proper visibility.

Several issues create security gaps, especially during:

  • Connectivity failures
  • Environmental disturbances that reduce footage clarity

Without proper security camera monitoring, these blind spots can compromise safety.

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Solution

We built and trained a system using multiple techniques. Techniques like Most Apparent Distortion (MAD) Calculation, Histogram Intensity Calculation, Edge Density Calculation, and more.

  • The solution continuously analyzes footage and determines if camera visibility is good or poor.
  • Designed to work seamlessly with existing security camera systems for businesses. The tool enhances visibility management and reduces risk.
  • Especially useful for large campuses and high-surveillance areas that rely on smart security cameras.

Despite of camera & weather conditions we triggered

Rain | Smoke | Dust

Implementation-Challenges

Implementation Challenges

  • Detecting poor visibility caused by fog, dirt, or glare in real time.
  • Differences between temporary obstructions and lasting damage.
  • Creating a model that works across various security camera systems for businesses.
  • Integrating the solution without disrupting existing security camera installation setups is important.
  • Ensuring compatibility across brands and types of smart security cameras.
Key-Features

Key Features

  • Real time security camera monitoring for visibility and distortion.
  • Automated alerts for visibility issues across cameras.
  • Ready integration with various security camera installation platforms.
  • Supports outdoor and indoor deployments.
  • Lightweight deployment with no impact on video recording systems.
  • Cloud based reporting for maintenance teams.

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