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Video analytics process video in real-time and transform it into intelligent data. They automatically generate descriptions of what is happening in the video and are used to detect and track objects which also could be categorized as persons, vehicles, pets and other objects in the video stream. Video analytics turn simple IP video into business intelligence. We can use the camera to identify a License Number Plate and the car model and used it to open a gate (normally done through RFID). Other examples are shelf occupancy sending an alarm when the number items is below a threshold, parking lot monitoring citing the empty spaces available, face and gender recognition, crowd detection, congestion detection and many myriad of other analytics. Video analytics requires volume of data to be very accurate together with powerful processing power. Some camera suppliers are building their AI technology on cloud platforms thinking ahead of the future requirements. Is Reolink thinking about this business intelligence?
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