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Clarity Visual Intelligence has developed a range of software based visual surveillance products designed for the global security and facilities management markets.
Security
The Visual Surveillance System
An intelligent, turn-key, enterprise-wide, visual surveillance system for any sized security installation.
Using advanced image analysis techniques, the Clarity Visual Surveillance System is able to detect and segment activity, detect, identify and track objects and events and record information captured by surveillance cameras (and other security sensors) in real-time. Artificial intelligence is used to prioritise these observations so that, once correctly configured and trained, the system can automatically trigger alerts for user defined events and bring the most important security issues to the attention of security staff.
The system uses a highly scalable and robust database to store recorded video and associated high-level semantic information over large periods of time, providing significant benefits over today s most advanced digital video recorders.
The interface for the Visual Surveillance System has been specifically designed for security professionals. It provides access to real-time and recorded data using many innovative features that improve the process of security surveillance and response management and readily provides the operator with all of the high-level information created by the system.
The Clarity Visual Surveillance System is designed to integrate with existing surveillance and IT infrastructure as well as being used as a standalone turn-key solution.
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Facilities Management
iCount
An advanced video-based counting system for any environment.
iCount unobtrusively provides counting statistics for people and vehicles moving between user-defined areas. The system uses analogue or digital cameras, runs on standard PC hardware and integrates easily with existing IT infrastructures.
iCount is designed to cope with changes in light and regular environmental conditions, continually learning and coping with these changes over time. This significantly reduces counting errors in varying light and background conditions.
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