Here are several sample pipeline configurations that solve typical object recognition tasks. Get one of the available templates and load it while creating a new template.

create pipeline

Vehicle counters

This vehicle counting pipeline detects vehicles, tracks their movements and, if a vehicle crosses virtual line, generates a 'line_cross' event, that can be sent to an Output.

Pipeline element Description
Vehicle detector The neural net searches for all vehicles in the frame
General object tracker The tracking processor builds a track for each detected object, adding information about objects' movements.
various filters Add filters here to remove unwanted objects
Line cross detector The line cross processors checks if an object's path has crossed the virtual line and adds a 'line_cross' event.
System DB System DB output saves all line_cross events to the local DB.
Notifications In addition to the statistics, the notification output allows sending warnings if someone crosses a line.

Downloads:

License plate recognition

This pipeline detects and recognizes license plates. It generates 'lp_detected' event, that can be sent to an Output.

Pipeline element Description
License plate detector The neural net searches for all license plates in the detection area
General object tracker The tracking processor builds a track for each detected object, adding information about objects' movements.
License plate recognition The recognition converts license plate image into symbols.
General event trigger This trigger is needed to generate 'lp_detected' events.
System DB System DB output saves all events to the local DB.

Downloads:

People gender/recognition plus counter

This people counting pipeline detects faces, recognizes age/gender, tracks their movements and, if a person crosses virtual line, saves this event to the DB.

Pipeline element Description
Face detector The neural net searches for all faces in the frame
General object tracker The tracking processor builds a track for each detected object, adding information about objects' movements.
various filters Add filters here to remove unwanted objects
Age, gender, emotions recognition The neural net recognizes person's age/gender.
Pixelate This processor can apply a pixel mask to the faces to match privacy requirements.
Line cross detector The line cross processors checks if an object's path has crossed the virtual line and adds a 'line_cross' event.
System DB System DB output saves all line_cross events to the local DB.

Downloads:

Important

After you create the pipeline, don't forget to update 'active area', 'counting lines', etc and add an Output to the bottom of the pipeline (for example a [SYSTEM_DB])