VCAcore can define a moving objects class using either its Deep Learning models or by using properties extracted from an object in a calibrated scene.
Both methods of classification are applied through the use of filters in the rules interface.
Classification filters allow an object, which has triggered a rule, to be evaluated against its predicted class and filtered out if needed.
Once a camera view has been calibrated, each detected object in that view will have a number of properties extracted including object area and speed.
VCAserver's object classification performs classification by comparing these properties to a set of configurable object classifiers.
VCAserver comes pre-loaded with the most common object classifiers, and in most cases these will not need to be modified.