The software can adapt to specific conditions. It can read different types of number plates regardless of fonts (Latin and non-Latin).
Automatic Number Plate Recognition (ANPR)
ALPR based on neural network algorithms.
The recognition accuracy is up to 98%
The recognition accuracy is up to 98%
An automatic license plate recognition system can be used for a variety of purposes, such as tracking the movement of vehicles, identifying specific cars, automated parking enforcement, and so on.
The use of ANPR systems is becoming more popular as the technology advances rapidly with the advent of machine learning and deep learning, the computational cost decreases, and the accuracy of applied image processing techniques increases.
Automatic number plate recognition (ANPR) is classifying vehicle type and recording number plates worldwide. Police worldwide are using automatic number plate recognition (ANPR) for various purposes such as border and toll controls, and to increase civil security. The system performs automatic number plate recognition and streams the gathered data in real time, including the photos of entire controlled area and close-up views of captured vehicles with visible number plates.
Functions and features
- Automatic number plate recognition for various countries, including 2-line and 3-line number plates1
- The technology ensures quick adaptation to new number plate formats2
- Embedded software and captured data are protected against unauthorized changes3
- Gathering the statistical data on traffic flow intensity4
- High resolution video streaming in real time5
- The camera controls and captures all passing vehicles on 5 lanes of traffic in both directions6
- Automatic vehicle type determination7
- Low body dimensions and supply power8
Reference Products