Documentation for Detector Pack 2.7. Documentation for other versions of Detector Pack is available too.
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A neurotracker is designed for detecting any objects in a video image and calculating the metadata. The neurotracker operation involves the use of a neural network, which allows to reduce the computation load and improve the quality of the object detection. Any detection tool can be implemented on the basis of the neurotracker. Before you start setting up the neural filter, you should contact the AxxonSoft technical support and request the model files of the trained neural networks. Technical support specialists will request from you the data needed to prepare the models, and then will provide you with the files. These files should be distributed to all servers where it is planned to use the neurotracker.
The following VMDA detection tools can be created on the basis of the neurotracker: Line crossing, Motion in the area (any movement, entering the area, exiting the area, appearance in the area, disappearance in the area, stop in the area, staying in the area for more than 10 seconds, abandoned objects). For details, see Creating and configuring VMDA detection.