# Vehicle Make and Model Recognition

Identifies the manufacturer and model of vehicles detected during number plate recognition.

Media Server has been pre-trained to recognize the manufacturer of vehicles. If you also want to identify the model of a vehicle, you must train Media Server to recognize vehicle models. For information about training Media Server, refer to the Media Server Administration Guide.

Configuration Parameter | Description
--- | ---
ColorRegion | Specifies what to output to the `ColorRegionWithSource` output track, so that you can use color clustering to identify the color of the vehicle.
Database | The database to use to identify the vehicle model.
DetectEveryFrame | Specifies whether to use every frame in which a vehicle is present to improve the accuracy of detection.
Input | The name of the track to analyze.
MinGrillePercentage | The minimum amount of the vehicle grille that must be visible in the image to attempt vehicle identification.
NumParallel | The maximum number of video frames to analyze simultaneously.
Perspective | Specifies whether source images are affected by perspective transformations.
SegmentDuration | The maximum duration of a record in the `SegmentedResult` or `SegmentedResultWithSource` track.
SyncDatabase | Specifies whether to synchronize with the training database before beginning the analysis task.
Type | The analysis engine to use. Set this parameter to `VehicleModel`.
VehicleMakeRecognitionThreshold | The minimum confidence that must be achieved for successful recognition of the vehicle make.
VehicleModelRecognitionThreshold | The minimum confidence that must be achieved for successful recognition of the vehicle model.

## Output Tracks

Output track | Description | Output1This column indicates whether the information contained in the track is included by default in the output created by an output task (when you don't set the Input parameter for the output task).
--- | --- | ---
`Data` | Contains one record, describing the analysis results, for every input record. | No
`DataWithSource` | The same as the `Data` track, but each record also includes the source frame. | No
`Result` | Contains one record, describing the analysis results, for each vehicle. When the same vehicle appears in consecutive frames, Media Server produces a single result. | Yes
`ResultWithSource` | The same as the `Result` track, but each record also includes the best source frame. | No
`SegmentedResult` | (Available only when processing video). The same as the `Result` track, except the duration of each record is limited by the parameter SegmentDuration. If a result exceeds the specified duration, Media Server begins a new record with the same ID. | Yes
`SegmentedResultWithSource` | (Available only when processing video). The same as the `ResultWithSource` track, except the duration of each record is limited by the parameter SegmentDuration. If a result exceeds the specified duration, Media Server begins a new record with the same ID. | No
`ColorRegionWithSource` | This track can be passed to a color clustering task, to determine the color of the vehicle. The data contained in the track varies based on the value of the ColorRegion parameter. | No
`VehicleMakeImage` | Contains one record for each vehicle. Each record includes a scaled image of the grille patch that is used to identify the vehicle make. The purpose of this track is to produce images for training vehicle makes. | No

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