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Clarity Visual Intelligence is actively working with industry to develop solutions for a range of complex operational challenges. We build these solutions using our highly customizable SENSNET infrastructure to meet specific requirements of each of our customers.
 
An example of this is the ICONS - Incident Recognition for surveillance and Security - project in the United Kingdom where we have been developing solutions for the British Airport Authority in conjunction with other partners.
 
For more information download the ICONS case study under the Links section to your right.
 
SENSNET
 
SENSNET provides a common infrastructure for developing intelligent, highly customised, networked video products and solutions that enable an organization to more efficiently manage a facility and significantly enhance security by automating common surveillance tasks.
  • Visually enables corporate IT and ERP systems.

  • Re-engineers conventional processes.

  • Computer vision based image processing.

  • Automates surveillance functions in CCTV systems for security & facility management.

  • Enables information systems to manage themselves with minimum human intervention.

  • Derives meaning from within images and supplies searchable 'meta-data' from usually impenetrable image based data.

  • Runs on standard IT hardware .

  • Can use both analogue and digital cameras.

SENSNET infrastructure
 

 
This enables us to create solutions that are:
 
Robust
  • Built on the robust and secure Linux Operating System.

  • Designed for mission critical environments.
Flexible
  • Can run on standard IT hardware and integrate with other systems.

  • Uses analogue and digital cameras.

  • Flexible licensing model to meet a wide range of needs.
Intelligent
 
Visual Intelligence Engines are used to create high-level information about video.
  • Adaptive scene modeling.

  • Image segmentation.

  • Robust multidimensional motion detection.

  • Object tracking and counting.

  • Object detection and recognition.

  • Event detection and tagging.

  • Behaviour classification - stationary, fast, abnormal.
Efficient
 
Object detection and segmentation enables the acquisition and storage of important sections of video (such as faces or number plates) at the highest resolution possible, while storing everything else at low resolution.
 
Minimal Configuration
  • Automatic discovery of network services such as live video or datastore.

  • Self healing connections when services are moved / change locations.

  • Minimises the amount of configuration required when changes are made to the infrastructure.
For more information download the SENSNET brochure and the Intelligence Engines brochure under the Links section to your right.
 
ICONS
Project Case Study

252k
SENSNET
Our common infrastructure for solutions development.

640k
Intelligence Engines
The intelligence behind our solutions.

2mb
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