License Plate Recognition

Visionaire License Plate Recognition (Docker Stream) is a containerized Artificial Intelligence Analytics which provides recognition of license plates for all types of vehicles. Nodeflux LPR is using a Deep Learning algorithm developed to adapt to real conditions in Indonesia, like various kinds of plates, and any wide range of environmental conditions.

How it Works

Camera Specification

Camera SettingsLicense Plate RecognitionGeneral Analytics

Frame Resolution

1080p - 4K

720p - 1080p

Codec

H.264

H.264

Codec Profile

Main

Baseline

Bit Rate Mode

Constant (CBR)

Variable (VBR)

Target Bitrate

4 - 10 Mbps

1 - 4 Mbps

FPS Rate

30

15 - 30

Bandwidth

6 Mbps

4 Mbps

Exposure Time/Shutter Speed

1/1000s - 1/2000s

1/30s - 1/120s

Deployment Schema

Analytics Performance

LPRv2

ParameterValue

Character Accuracy

98.71%

Plate Type

Military, Police, Diplomat, Public (Only Indonesia)

Weather Condition

Rainy, Dusty, Visible Low-Light, Daylight

Minimum Plate Size

250px x 150px

Maximum Tilt

30°

Plate Condition

Bended, Cropped, Framed

LPR-S (Special Case)

ParameterValue

Character Accuracy

80%

Plate Type

Indonesian Military (TNI AD, AL, AU), Mabes TNI, Police, Private

Weather Condition

Rainy, Dusty, Visible Low-Light, Daylight

Minimum Plate Size

250px x 150px

Maximum Tilt

30°

Plate Condition

Bended, Cropped, Framed

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