GUIDES

License Plate Reader Camera Installation for Driveways & Gates

A useful plate camera is aimed and exposed for reflective license plates, not for a beautiful wide overview. Reliable capture comes from controlling distance and angle, zooming into the plate zone, testing at night, and using a second camera when broader context matters.

Discuss your project
9 MINUTE CAMERA GUIDE

Plate capture is an engineered identification view, not a feature you add to a wide driveway camera.

01

Geometry comes before artificial intelligence

Recognition software cannot reconstruct a plate that occupies too few pixels, is hidden by glare, or crosses the view at an extreme angle. The lane, stopping point, vehicle direction, speed, mounting surface, focal length, and night exposure must be designed together.

For the UniFi AI-LPR, Ubiquiti recommends a capture distance within 12 meters, mounting below 5 meters, and horizontal and vertical angles below 25 degrees. Faster traffic calls for angles below 15 degrees. Slower or stopped vehicles may allow modestly longer distances and angles, but field testing decides the result.

  • Keep the plate large in the frame
  • Minimize horizontal and vertical angle
  • Control where the vehicle slows or stops
  • Audit both front and rear plate opportunities
02

Why the LPR needs a context camera

At night, a dedicated plate camera may expose for reflective material and suppress the rest of the scene. That is excellent for characters and poor for understanding occupants, vehicle color, damage, direction, or activity around the gate.

A second overview camera provides the story around the plate event. In Protect, operators can review the plate detection alongside broader video instead of asking one exposure and field of view to do incompatible jobs.

  • LPR camera: identification evidence
  • Overview camera: vehicle and scene context
  • Entry camera: driver or visitor interaction
  • Recorder: retention and event correlation
03

From plate logging to gate access

Compatible Protect AI cameras can pass recognized authorized plates into UniFi Access when paired with a Gate Hub deployment. That convenience changes the risk profile: detection zones, credentials, cooldown behavior, event recording, software versions, and operator safety interfaces all need deliberate commissioning.

The access platform should never bypass the gate operator's safety system. Entrapment protection, loops, photo eyes, emergency behavior, and applicable requirements remain part of the gate installation even when the credential is a license plate.

  • Assign plates to named users
  • Limit the detection and unlock zone
  • Record video on access events
  • Test rejected, unreadable and repeated approaches

Common failure
points.

01

Mounting too high or too far off-axis and expecting software to recover missing detail

02

Using one wide camera for faces, vehicles, property overview, and plates simultaneously

03

Testing only in daylight and ignoring headlights, glare, dirty plates, and approach speed

Plan before
hardware.

01

Place the dedicated plate view close to the lane with a shallow horizontal and vertical angle

02

Set the recognition zone and optical zoom around where vehicles actually slow or stop

03

Audit day and night events and add a context camera for vehicle description and surroundings

What we verify
before handoff.

  1. 01Measure lane distance, angle and speed
  2. 02Choose dedicated plate and context views
  3. 03Provide PoE, backhaul and recording capacity
  4. 04Test day, night, rain and headlight conditions
  5. 05Configure permissions, retention and plate lists
  6. 06Coordinate gate safety before enabling automatic unlock

What clients ask.

How should a UniFi AI-LPR camera be positioned?+

Ubiquiti recommends staying within 12 meters, below 5 meters mounting height, and under 25 degrees horizontal and vertical angle; high-speed capture calls for angles under 15 degrees.

Why add a second overview camera?+

At night, LPR exposure and glare filtering prioritize reflective plates and headlights. A context camera preserves the broader scene, vehicle, and people around the event.

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Iron Forged.

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