CX Teknoloji
TR·EN·AR
GVN-05 · Zone & Perimeter Security

Licence Plate Recognition (ANPR)

Automatically record the plate, time and image of every vehicle entering your facility.

99%
Plate reading accuracy
<1 s
Read-to-decision time
0
Manual entries required

The facility gate is the most overlooked point in digitalisation: plates written by hand in the gate log, illegible signatures and missing entries noticed hours later. A licence plate recognition system does away with that log — the plate, direction, time and image of every vehicle entering and leaving are recorded within seconds.

The model is trained specifically on the Turkish plate format and works at night, in rain, with muddy plates and at oblique angles. For a whitelisted vehicle the barrier opens automatically; an unregistered vehicle is reported to security with a live image. Integrated with weighbridge, visitor management and dispatch systems, it turns the record at the gate into operational data.

How it works

01 / CAPTURE

Plate region located

The vehicle is detected and the plate region isolated; the shutter setting prevents motion blur.

02 / READ

Character recognition

OCR tailored to the Turkish plate format; uncertain characters are re-verified across frames.

03 / DECISION

List check and escalation

If whitelisted, the barrier opens; if unregistered or blacklisted, an alert with image is sent to security.

The gate record is the cheapest data on site

On its own, plate data is a security record; matched with time, it becomes an operational metric. The time a vehicle spends at the gate, the time it waits at the loading dock and its total time on site all come from the same record. Whether shipment delays originate at the dock, the weighbridge or the paperwork can be told apart from how these three durations are distributed.

Read accuracy by condition · field measurement
Daytime, clean plate99.4%
Night, IR illumination98.6%
Rain / wet road surface97.2%
Muddy or damaged plate91.5%
Oblique angle (>30°)88.0%

Accuracy is determined by camera position, not the model: a camera that views the plate within 30 degrees of head-on, with a short shutter speed, reaches the top band in all conditions.

Average waiting time at the gate · −58% (6 weeks)
W13.8 min
W23.2 min
W32.6 min
W42.1 min
W51.8 min
W61.6 min

Automatic barrier opening for whitelisted vehicles lets security staff focus their time on unregistered vehicles.

Use cases

Production

Facility access control

Automatic barrier for whitelisted vehicles, alert for unregistered ones.

Logistics

Weighbridge matching

Weighing records merge with the plate automatically; manual entry is eliminated.

Shipping

Loading dock planning

Gate–dock–exit times are measured and the bottleneck becomes visible.

Complex / Industrial zone

Visitor management

Vehicles without an appointment are identified at the gate and their past records queried.

Technical requirements

CameraFixed camera viewing the plate at no more than 30°; 2 MP is sufficient
LightingIR illumination or IR-sensitive sensor for night; short shutter (1/500+)
DistancePlate width must be at least 120 pixels in the image
ListsWhitelist / blacklist, temporary permits, time-limited access
IntegrationBarrier relay, weighbridge, visitor management, ERP/WMS, REST API
RecordsPlate text, time, direction and vehicle image for every passage

Frequently asked questions

How does Licence Plate Recognition (ANPR) work?

The facility gate is the most overlooked point in digitalisation: plates written by hand in the gate log, illegible signatures and missing entries noticed hours later. A licence plate recognition system does away with that log — the plate, direction, time and image of every vehicle entering and leaving are recorded within seconds.

Are our existing cameras suitable for this solution?

Required camera specification: Fixed camera viewing the plate at no more than 30°; 2 MP is sufficient. Before installation we assess your camera inventory free of charge and report which points are suitable and, if needed, which camera should be added.

How accurate is it in the field?

Measured accuracy: 99%. Accuracy is determined by camera position, not the model: a camera that views the plate within 30 degrees of head-on, with a short shutter speed, reaches the top band in all conditions. Thresholds are calibrated on your own site during the pilot.

Which systems does it integrate with?

Barrier relay, weighbridge, visitor management, ERP/WMS, REST API. Events are published over REST API and MQTT, so it connects to your existing MES, ERP, VMS and alarm infrastructure.

Is it compliant with KVKK, Türkiye's data-protection law?

Footage is processed on an edge server inside your facility; raw video is not sent to the cloud. Facial recognition is not used; analytics outputs are anonymous and event clips are deleted automatically when the defined retention period ends.

See this solution on your own site
Let's test it with your existing camera in a 15-minute demo call.
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