Axis 02811-001 P1465-LE-3 License Plate Verifier Kit

Axis P1465-LE-3 User Manual - Page 13

For 02811-001.

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AXIS P1465-LE-3 License Plate Verifier Kit
Configure your device
1. Go to Video > Image > and click .
2. Click
to show the level grid.
3. Adjust the camera mechanically until the position of the reference area or the object is aligned with the level grid.
Reduce image processing time with low latency mode
You can optimize the image processing time of your live stream by turning on low latency mode. The latency in your live stream is
reduced to a minimum.
1. Go to System > Plain cong.
2. Select ImageSource from the drop-down list.
3. Go to ImageSource/I0/Sensor > Low latency mode and select On.
4. Click Save.
Select exposure mode
To improve image quality for specic surveillance scenes, use exposure modes. Exposure modes lets you control aperture, shutter
speed, and gain. Go to Video > Image > Exposure and select between the following exposure modes:
For most use cases, select Automatic exposure.
For environments with certain articial lighting, for example uorescent lighting, select Flicker-free.
Select the same frequency as the power line frequency.
For environments with certain articial light and bright light, for example outdoors with uorescent lighting at night and
sun during daytime, select Flicker-reduced.
Select the same frequency as the power line frequency.
To lock the current exposure settings, select Hold current.
Compensate for barrel distortion
Barrel distortion is a phenomenon where straight lines appear increasingly bent closer to the edges of the frame. A wide eld of view
often creates barrel distortion in an image. Barrel distortion correction compensates for this distortion.
Note
Barrel distortion correction affects the image resolution and eld of view.
1. Go to Video > Installation > Image correction.
2. Turn on Barrel distortion correction (BDC).
3. Use the slider to improve the image.
Verify the pixel resolution
To verify that a dened part of the image contains enough pixels to, for example, recognize license plates, you can use the pixel
counter.
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