Surveillance footage is regarded as one of the most important evidence in any intrusion or crime activity. Video data has the potential to help drive insights that lead to improved operational efficiency and public safety. Video analytic solutions are proactive and efficient in finding the unusual and unwanted in the post-incident activity with much more ease and accuracy.
Thanks to the enormous advances made in deep learning, video analytics has evolved and automation of tasks that were once the exclusive purview of humans, are now being performed by efficient, self-learning, and adaptive machines.
According to an industrial survey report, a per son can continuously watch the monitor actively for up to a few minutes only, after which he turns video blind sub-consciously, wherein his attention to detail gets altered. In such a scenario, he cannot assess the situation & can’t take action on the scene. This gives rise to the urgent demand and important need for video analytics where the accuracy is high, without the scope of human error. A machine is not limited by factors such as tiredness, and will always give accurate results irrespective of the duration of the video being analyzed.
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