The Real-Time Plate Number Detection OpenCV Python is a deep learning system that focuses mainly on detecting the registration plate number of a vehicle.
Further, this Real-Time Plate Number Detection in Python with the use of the powerful library namely OpenCV which simply stands for Computer Vision is one of the best projects that has been developed to help agencies detect the plate number of a vehicle.
Importance of Real-Time Plate Number Detection OpenCV
The importance of Real-Time Plate Number Detection this could be one of the main solutions for knowing the license plate of a vehicle which can detect it in a real-time way which can help catch illegal activity such as riding in tandem and hit-and-run accidents on high ways.
Project Details and Technology:
| Project Name: | Real-Time Plate Number Detection Project In Python With Source Code |
| Abstract | Plate Number Detection Python OpenCV – Real-time detection and recognition of license plates |
| Language/s Used: | Python Deep Learning |
| Python version (Recommended): | 3.8/3.9 |
| Database: | None |
| Type: | Desktop Application |
| Developer: | Source Code Hero |
| Updates: | 0 |
Real-Time Plate Number Detection OpenCV Python: About the project
License Plate Recognition is an image-processing technology used to identify vehicles by their license plates.
This project was developed using Python OpenCV. This technology is employed in a variety of security and traffic-related applications.
The Plate Number Detection OpenCV Python program is designed to recognize license plate numbers.
We will use OpenCV to recognize number plates and Python pytesseract to extract characters and numbers from the number plates in order to detect license number plates.
This system also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading.
To start executing a Real-Time Plate Number Detection OpenCV Python With Source Code, make sure that you have installed Python in your computer.
Real-Time Plate Number Detection OpenCV Python With Source Code: Steps on how to run the project
Time needed: 5 minutes
These are the steps on how to run Real-Time Plate Number Detection OpenCV Python With Source Code
- Step 1: Download Source Code
First, download the provided source code below.
- Step 2: Extract File
Next, after the download finished extract the zip file.
- Step 3: Import the project to your PyCharm IDE.
Next, import the source code you’ve download to your PyCharm IDE.
- Step 4: Install all Libraries.
Next, install all libraries given below.
- Step 5: Open cmd.
Next, click the folder directory of the project and type cmd.
- Step 6: Run Project.
Lastly, run the project with the command “py main.py”
Download the Source Code below
Summary
In this article, we have developed a deep-learning project to recognize license number plates.
We discussed some important features of OpenCV like Gaussian blur, Sobel operators, and Morphological transformations.
The application detects number plate text from an image.
We have identified and cleaned the number plate using openCV. To identify the number plate digits and characters we used pytesseract.
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Inquiries
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