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Surveillance Cameras has proven to be a key factor in enhancing the public security in many countries around the world. In spite of advancements in image processing and machine vision techniques very less is applied to actual implementation of such surveillance systems. Traditional methods wherein stand alone cameras provide just live feed to the observer are still deployed at most of the places but the need of today's world is to add some intelligence to this systems. In this paper, the authors will be focusing on important features to build an intelligent surveillance system and its architecture using computer vision libraries of opencv.
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