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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

License Plate Recognition Analytic

Deployment Schema

Analytics Performance

LPRv2

Parameter
Value
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)

Parameter
Value
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