The ANPR, or Automatic Number Plate Recognition system, is a system that is specialized in taking photos of the number plates of vehicles automatically. The Automatic Number Plate Recognition uses a software for optical character recognition to be able to do this. This system is not readily available for people to use personally, however, different organizations use this system for their optimization. Having a system that can take images of number plates automatically can be of great value to many organizations. If you are interested in learning more about the ANPR system, keep reading this blog post.
How ANPR is used
Organizations that use the Automatic Number Plate Recognition system use it to be able to enhance their way of working and make things simpler and more efficient. Companies and businesses that have the Automatic Number Plate Recognition system may use it for things like parking management in their buildings. It can be used to track as well as manage the regulations of the parking lot and if people are following those rules.
Law enforcement is one of the more prominent organizations that use ANPR. The way they use it is by saving the number plate information they take and utilizing it to try and locate vehicles that are missing or reported stolen.
How ANPR works
This system may be super high-tech and the word ‘automatic’ may frighten you, but the inner workings of the Automatic Number Plate Recognition system are a lot simpler than you think. There are a few components of the ANPR system but the main ones are the camera and the optical character recognition software system. The camera takes the images of the number plates and the optical character recognition software handles and extracts the important information from the images. The information that gets extracted will then be put into a database for later use. Though the inner workings of the Automatic Number Plate Recognition system are simple, if even one of them is not working or is missing, the whole system would fail or would not be used as best as it could.