Documentation for Axxon Next 4.2.2. Documentation for other versions of Axxon Next is available too.
ANPR is a detection tool that reads license / number plates of vehicles in FoV.
Axxon Next ANPR / LPS is not compatible with Auto Intellect.
Uninstall the Axxon Next VMS and Auto Intellect, then reinstall Axxon Next.
To configure ANPR, do as follows:
- Select the VIT license plate recognition object.
- If a camera supports multistreaming, select the stream for which detection is needed. Selecting a low-quality video stream allows reducing the load on the Server.
If necessary, enable advanced image analysis (1).
Yes – improves the quality of recognition under adverse conditions (for example, if the characteristics / settings of the camera do not fully meet the requirements, or in bad weather). The processing time of the frame increases by 20-30%, depending on its size. Under normal conditions, this setting does not affect the quality of recognition
- To recognize the numbers at sharp angles with respect to the camera, select Yes in the Algorithm of recognition of distorted LP image field (2).
Set the image contrast threshold (3). The default value is 40 . On a high-quality image, increase this value to 50-60. If the image has poor contrast, lower this value.
In the appropriate fields, select one or more countries for ANPR (4).
The more countries you select, the slower the recognition and the greater the likelihood of the recognition error.
By default, the frame is compressed to 1920 pixels on the longer side. To avoid detection errors on streams with a higher resolution, it is recommended that compression be reduced (1).
Set the maximum and minimum width of the vehicle number plate as a percentage of the FoV width (2, 4).
The Minimum LP width parameter affects the CPU load as follows: the higher the parameter is, the higher the load.
Specify the maximum number of recognition threads (3). If the value is 0, the recognition process will occur in the same thread that starts it.
The cumulative value of this parameters across all VIT detection tools must not exceed the number of CPU cores and is limited to 100.
Specify the minimum percentage of similarity between the recognition result and the corresponding number plate template, for positive LPR result (5). Use this parameter to filter the results by reliability.
Set the number of frames required for LPR / ANPR (6). This is though a necessary condition, but not sufficient for the first output. This condition delays LPR output. This parameter allows to increase the reliability of the results, as well as to hide false positives.
In the Tracker timeout field, enter a time period in seconds. This is the time before detection starts again after a number plate is recognized (7).
You can configure an ANPR zone in FoV. The zone is resized by moving the anchor points.
For your convenience, you can click thebutton and configure the mask on a still frame / snapshot. To undo, click this button again.
Detection zone is displayed by default. You can click thebutton to hide the zone. To undo, click this button again.
- Click the Apply button.
Configuration of ANPR is now complete.