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Visual Cortek’s software performs real-time video analytics and can interpret the content of incoming video streams from multiple cameras
SecurityDigital video surveillance is a high-growth niche within the overall security market. With the advent of affordable high-performance processing units, content-based analysis of the video stream becomes possible; a first generation of intelligent surveillance systems has now been introduced. However, the currently offered products generally suffer from the following problems:
The objective of Visual Cortek is to build intelligent video surveillance systems for advanced security applications. Visual Cortek's software performs real-time video analytics and can interpret the content of incoming video streams from multiple cameras. Visual Cortek’s innovative product autonomously controls pan-tilt-zoom cameras, thus adding relevance to the captured video by having the system zooming on the area where an event is occurring and tracking its actors (e.g. pedestrians, cars) as the scene is evolving. It also has the unique capability of capturing people’s identity on-the-move in order to build a database of person’s faces and eventually link to a face recognition module. Moreover, the fact that Visual Cortek’s solution integrates machine learning and pattern classification concepts makes its products particularly easy to deploy and easy to use. Indeed, with its unique learn-by-example feature, Visual Cortek’s software has the ability to learn through user feedbacks and thus adapt to any context. At Visual Cortek, we develop Intelligent Video Surveillance and Security Systems that works for the user. Our system strives to be a fully automated Virtual Security Guard
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