Axis M4317-PLVE User Manual page 53

Panoramic camera
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AXIS M43 Series Panoramic Camera
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AXIS People Counter
AXIS People Counter is an analytic application that you can install on a network camera. You can use the application to count how
many people pass through an entrance, in what direction they pass, and if more than one person passes during a predefined interval.
You can also use it to estimate how many people are currently occupying an area, and the average visiting time.
The application runs embedded in the camera which means you don't need a dedicated computer to run the application.
AXIS People Counter is suitable for any indoor environment, like stores, libraries, or gyms.
How does estimating occupancy work?
You can use the application to estimate occupancy in areas with one or several entrances and exits. Each entrance and exit needs to be
equipped with a network camera with AXIS People Counter installed. If there are several cameras, they communicate with each other
over the network in a primary and secondary concept. The primary camera continuously fetches data from the secondary cameras and
presents the data in the live view. Every fifteen minutes, the primary camera sends the statistical data to AXIS Store Data Manager.
Consequently, the reports generated from AXIS Store Data Manager can present the data in a minimum of 15 minutes time interval.
AXIS Object Analytics
AXIS Object Analytics is an analytic application that comes preinstalled on the camera. It detects objects that move in the scene and
classifies them as, for example, humans or vehicles. You can set up the application to send alarms for different types of objects. To
find out more about how the application works, see AXIS Object Analytics user manual.
Product specific considerations
For best results, the camera must be correctly mounted. There are also requirements on the scene, image and objects.
Mount the camera up to a maximum height of 3 m (9.8 ft).
Humans in the center of the image are unlikely to be classified.
Objects near the edge of the image appear smaller than objects near the center and are therefore unlikely to be detected.
To minimize the risk of missed detections, we recommend a height of at least 8% of total image radius for humans
and 6% of total image radius for vehicles.
Object in the center
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