License plate recognition
License plate recognition is based on image processing methods. Live images from a video camera are evaluated for license plate information using complex algorithms. This powerful OCR (Optical Character Recognition) text recognition enables license plates to be evaluated in real time.
The data obtained can be used for a wide variety of applications: Access control, generating alarms and much more.
License plate recognition thus actively contributes to increasing daily efficiency, or security. Depending on the requirements, the recognition software can run directly on the camera or on a powerful server that manages all license plate recognition and triggers appropriate actions in the security network. The choice is yours.
OCR (Optical Character Recognition)
It all starts with a high-resolution image of the vehicle provided to the license plate recognition system. When selecting the image section or camera position, it is important to ensure that the scene is well illuminated. Possible interfering factors such as vehicles on a side lane can be excluded from the recognition.
Step 1:
Analysis of the image
The software analyzes the image and tries to find out where the license plate is located.
The primary goal is to reduce the amount of analyzed data down to the few bytes that make up the string of the license plate in the ANSI/ASCII character space.
Step 2 :
Find the license plate
To minimize false detections, the exact location of the license plate is defined on the image.
This reduces the amount of data and increases the reliability of the letter recognition.
Step 2 :
Separate the characters
By an initial rough recognition of the characters, so-called pixel matrices are isolated. These allow an effective conversion into the respective ANSI/ASCII value and the programmatic further processing of the recognized license plate.
Triggering
Triggering is the mechanism that initiates image capture. Good video systems deliver 25 images per second. The demands on the license plate recognition system increase with the underlying image resolution. The higher the resolution, the more difficult it is to guarantee real-time recognition. The additional evaluation of the individual images using text recognition (OCR) leads to a further load on the system.
To reduce the system load, modern license plate recognition systems rely on external triggers to initiate the recognition process. These include inductive ground loops, photoelectric sensors, or pulses from third-party systems. In the ideal case, however, motion detection from a camera is the obvious choice.
In a project environment, the on-site conditions determine which trigger is most suitable.
Detection rate
The detection rate of a license plate recognition system is influenced by many factors. Many of these factors influence each other.
Such factors include the resolution and image quality of the camera and the performance of the underlying PC hardware. Is the environment sufficiently illuminated to minimize image noise? In addition, the position of the IP camera(s) and the quality and performance of the network is a important factor.
If all factors are optimally coordinated, very high detection rates are possible. We are happy to support you in the implementation of a reliable license plate recognition and guarantee you a professional and high-precision system.
Wide range of applications
Park management
Automation of payment, entry & exit
Toll roads
automated traffic management
Airport Traffic Management
automated access controls
Access control
Gate opening only for authorized vehicles, registration of visiting vehicles
Vehicle warnings
automated warnings for listed vehicles
Special solutions
We can also develop customized special solutions for you on request.