INTRODUCTION 5
Pic 1. 2. 1 Automatic Number Plate Recognition system 16
The Role Of Artificial Intelligence In ANPR System. It is beneficial From Detection To Decision-Making. Artificial intelligence (AI) is currently an innovator
in several different sectors, changing how we tackle and handle difficult issues. The implementation of artificial intelligence inside Automatic Number Plate Recognition (ANPR) technologies represents one example of that. Due to their effectiveness for in-vehicle surveillance, fee collection, law enforcement, and safety purposes, ANPR technologies have become widely used in recent times. The combination of AI and ANPR technologies has improved both the speed and reliability of license plate identification while also unlocking new opportunities.
In this section, we analyze artificial intelligence’s important impact on ANPR systems, as well as its advantages, drawbacks, and prospective future improvements. 22
1.3 Worldwide license plate recognition research and development 24
License plate recognition systems are widely used in modern smart cities,
such as toll payment systems, parking fee payment systems and residential access control. Such electronic systems are not only convenient for people’s daily life, but also provide safe and efficient services for managers. License plate recognition algorithm is a mature but imperfect technology. The traditional location recognition algorithm is easily affected by light, shadow, background complexity or other factors, resulting in the failure to meet the application of real scenes. With the development of deep learning, the license plate recognition algorithm
can extract deeper features, thus greatly improving the detection and recognition accuracy. Therefore, this paper discusses the application of deep learning in license plate recognition, and the main work is as follows: 1) Introduce the most advanced algorithms from the three main technical difficulties: license plate skew, image noise and license plate blur; 2)
According to the process, the deep learning algorithms are classified into direct detection algorithms and indirect detection algorithms, and the advantages and disadvantages of the current license plate detection algorithms and character recognition algorithms are analyzed; 3) The differences in data sets, workstation, accuracy and time of different license plate recognition
systems are compared; 4) Compare and illustrate the existing public license plate datasets according to the number of pictures, resolution and environmental complexity, and make a prospect for the future research direction of license plate recognition. 24
Regions that are leading the License Plate Recognition Technology Market: 32
Chapter 2. Hardware and software used in license plate recognition 35
2.1 Information about the algorithms and methods used in vehicle number recognition 35
2.2 Operating principles of the device and modular used in recognition of car number plates based on artificial intelligence 52
