The development of technology has led to the development of a variety of useful tools to simplify human efforts. Automatic Number Plate Recognition, being one such example, has become widespread throughout the world.
It’s a reliable technology that assists in tracking parking violations, monitors traffic situations and also benefits other activities that are dependent on the user. Automatic Number Plate Recognition systems are extremely efficient and built using the latest technologies like AI that makes them extremely precise and efficient.
In this blog, we’ll examine some important aspects of the license plate system in order to help you understand the significance of the system. Let’s get started!
What is ANPR?
ANPR is also known as Automatic Number Plate Recognition ,is a machine vision technique that scans license plates on vehicles, without the need for human intervention by using specially designed software. ANPR makes use of real-time video footage to record and accurately determine the registration number.
ANPR technology is profoundly changing the industry of transport since vehicle number plate identification serves a variety of purposes, like:
- Transport Macro Modeling
- O-D Surveys (Origin-destination)
- Average Travel Time Surveys
- Speed Measurement
- Advanced Vehicle Classification
Automatic Number Plate Recognition is also sometimes referred to as the various names:
- LPR (License Plate Recognition)
- Automatic Vehicle Identification (AVI)
- Car Plate Recognition (CPR)
- Car Plate Reader (CPR)
- Automatic Number Plate Recognition (ANPR)
- Optical Character Recognition (OCR) for Cars
How Does the ANPR Work?
The operation of ANPR is fairly easy. The ANPR utilizes the optical recognition program to identify registration plates for vehicles. The cameras of the device take pictures of registration plates which are handled by software.
When processing images The software recognizes the characters and validates their sequence before converting the image of the number plate into text. The system utilizes infrared lights at night to determine the car’s number and take images.
The most common ANPR systems comprise of:
- A digital camera.
- An equipment for processing.
- Infrared light.
- A variety of algorithms for video analytics.
What are the Key Benefits of ANPR?
ANPR provides numerous real-world benefits that make it a well-known technology in current times. The most notable benefits are:
- Automatization of manual tasks
- Space management with efficiency
- Better governance
- Improved customer experience
- Processes are executed faster and more efficiently
In addition to the advantages, here are a few use instances to learn about the technology for recognizing license plates:
There is no need to waste time managing parking tickets or risking fines for incorrect ticket payment as ANPR provides a comprehensive solution that allows you to track specific vehicles and perform effective parking management.
The law enforcement agency has the largest use-case for ANPR systems. They are used to provide the recognition of license plates of vehicles that violate traffic laws.
Automatic Number Plate Recognition device has made tollbooth transactions easy since the system automatically determines the vehicle’s number and then charges you the amount of toll.
Journey Time Analysis
An important feature of ANPR is the analysis of journey’s time that records and displays the time spent in the process of moving from your point of origin to your destination.
Retail Park Security
ANPR technology is able to address and effectively address the issue of parking that is not authorized that can cause inconvenient fights and hassles.
How Can AI Models be Trained to Accurately Train ANPR Models?
Training the AI Model is no piece of cake. It takes a lot of time, effort and the implementation of correct decisions to ensure that it will be flawlessly functioning. AI training starts with data. When you train AI, the goal of your machine is to gather data, process it, gain knowledge from it, and then implement it into the task at hand. The models will first have to be trained using the data.
The data sets contain a lot of details that the model has to learn to comprehend and analyze. Furthermore, it makes decisions using the data. In order for this system to be designed perfectly, it needs several engineers’ dedication and expertise.
The great thing with AI is that once you have programmed the AI system to improve and apply its knowledge to the task, it is able to continue to train other models quickly. By using a few lines of code and using pre-trained models to build the well-trained Automatic Number Plate Recognition Models that can be used in multiple places.
Automatic Number Plate Recognition is an excellent technology that can eliminate human effort and replace it with a sophisticated system that delivers rapid and efficient results. In addition, the uses of this technology are many and it is a reason for its growing demand.