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The standard sub-detectors generate events at certain actions of objects in the camera FOV:
| Name of the sub-detector | Description |
|---|---|
| Line crossing | Detector generates an event when an object track crosses a virtual line |
| Loitering in area | Detector generates an event when an object stays in a specified area for a long period of time. |
| Stop in area | Detector generates an event when an object stops moving in a specified area. The event stops when an object leaves the area or disappears inside the area |
| Track masking | Detector that allows you to mask objects |
| Abandoned object | Detector generates an event when there is an abandoned object in a specified area |
| Motion in area | Detector generates an event when an object starts moving in a specified area. The event stops when an object stops in the area, leaves the area, or disappears inside the area |
| Entrance in area | Detector generates an event when an object enters a specified area |
| Exit from area | Detector generates an event when an object leaves a specified area |
| Multiple objects | Detector generates an event when the number of objects in a specified area exceeds the set value |
| Move from area to area | Detector generates an event when an object leaves one area and enters another area of the frame |
Tooperate the standard sub-detectors, you can use the metadata from the sources:
| Category | Detector |
|---|---|
| Category: Trackers | |
Category: Face (reduced set of sub-detectors: Line crossing, Loitering in area, Entrance in area) | |
| Category: Vehicle | |
| Category: Poses | |
| Category: Production Safety | |
| Category: Retail |
The standard sub-detectors can operate on the basis of all of the above objects
Axxon One uses two different trackers for moving objects detection and metadata calculation:
- Object Tracker is a primary tool.
- Neural Tracker is essentially the same but operates through neural networks. The neural one is more accurate and detects even static objects, but it requires more computing resources.
The Scene Analytics detection tools work with both trackers.
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The abandoned objects detection tool works only with the primary tracker. |
When created, both Object Tracker and Neural Tracker objects are enabled by default. Tracked objects' parameters (relative width and height, color) are displayed in the camera window.
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Up You can track up to 25 objects can be tracked at the same time. |
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