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People Counting
People Counting with deep learning algorithms is an effective method to detect and track individual people in real-time video from surveillance cameras. This technology uses computer vision to accurately and consistently count people across various locations and can provide valuable insights for businesses and smart cities. It can be used to estimate the number of people in retail stores in real-time, discover peak hours, bottlenecks, and compare key metrics across different locations.
AIoTdevice.
Track ID.
Count people walking in and out.
Count people sitting in chair.
Count people crossing the zebra crossing.
Detecting people.
Customizable region of interest.
In-depth dashboard.