Artificial intelligence for video surveillance utilizes computer software programs that analyze the audio and images from video surveillance cameras in order to recognize humans, vehicles, objects and events.
Based on a technology called Deep Learning, Artificial Intelligence (AI) ‘trains’ computers to do tasks faster and better than people previously could. Here let’s take some example from Videopark camera
With built-in high performance CNN coprocessor & deep learning algorithm, videopark camera can accurate detect and capture face, human body, motor vehicle, non-motor vehicle in various scenes, the accuracy rate can reach over 99%. Meanwhile, the built-in face, human body, motor vehicle, non-motor vehicle quality judgment algorithm ensures that each picture is the most clear and highest quality, which greatly improved the accuracy of the back-end face recognition system.
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