Deep Learning and Its Role in the Advancement of Video Analytics
Video cameras are everywhere these days. Research from IHS Technology estimates that up to 245 million cameras were operational, and that was only at the end of 2014. That number has only increased since then. People and organizations have used video surveillance for many use cases, most of which we are all familiar with. Video cameras are used to help deter crime and help find criminals after a crime, for example. They are also used to reconstruct what has happened after terrorist events. Other use cases are perhaps not as widely known, including use of video to help detect indications of intent. Many businesses can now use video analytics to get a more detailed look on who is entering their property and what they do there. As impressive as video…
Link to Full Article: Deep Learning and Its Role in the Advancement of Video Analytics
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