License Plate Analytics
In a sense of deep learning technology, the performance of this analytic might slightly differ in your environment, depending on several variables such as camera specs, camera height, camera angle, weather conditions, etc. We highly recommend you to test our analytics and run benchmarks on your own images, with ground truth or your quality expectations prepared beforehand. Please contact us for more info.

Acceptable Condition

The images below are the reference for license plate analytics.
  1. 1.
    Well-exposure condition minimum 40 Lux, otherwise performance will drop.
  2. 2.
    Open space traffic with low occlusion level.
  3. 3.
    A frontal plate view is recommended for better detection.
Here are the examples of our implementation in different conditions
Heigh: 2 meters | Tilt: 10 degrees to the left | Angle: 45 - 60 degrees | Distance to object: 5 meters.
Heigh: 6 meters | Tilt: 0 (straight) | Angle: 70 | Distance to object: 15-17 meters
Heigh: 3 - 4.5 meters | Tilt: 45 - 60 degrees to the right side | Angle: 20 - 30 | Distance to object: 5-8 meters

Restricted Conditions

The restricted condition for license plate analytics including
  1. 1.
    Vehicle-like ads/banner
  2. 2.
    Non-traffic grade camera for a high-speed situation (>80kmph)
Last modified 1yr ago