Real-Time Car Detection OpenCV Python With Source Code

Real-Time Car Detection OpenCV Python – Car/Vehicle detection method on road are used for vehicle tracking, counts, average speed of each individual vehicle, traffic analysis and vehicle classifying objectives and may be implemented under diverse environmental changes.

Importance of Real-Time Car Detection Python OpenCV

Vehicle detection and tracking applications are useful in civilian and military applications including highway traffic surveillance, management, and urban traffic planning.

Real-Time Car Detection In Python: Project Details and Technology

Project Name:Real-Time Car Detection Project In Python With Source Code
AbstractCar Detection Python OpenCV – Car detection system spots overweight vehicles moving toward overhead obstacles.
Language/s Used:Python Deep Learning
Python version (Recommended):3.8/3.9
Type:Desktop Application
Developer:Source Code Hero
Real-Time Car Detection Project In Python – Project Information

Real-Time Car Detection OpenCV Python : About the project

Vehicle detector is one of the most extensively utilized features by corporations and organizations these days, and the Real-Time Car Detector OpenCV Python was developed using Python OpenCV. This technique employs computer vision to detect different sorts of automobiles in a movie or real-time via a webcam. It

A Car Detection OpenCV Python has various uses, including traffic control, car tracking, and the creation of parking sensors. We’ll learn how to use Python to create a car tracking system that works with both recorded and live cam streamed videos.

This Real-Time Car Detection In Python also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading.

By the way, if you are new to python programming and you don’t have any idea what Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS for you. Additionally, I also have here How to Download and Install Latest Version of Python on Windows.

To start executing a Real-Time Car Detection OpenCV Python With Source Code, make sure that you have installed Python in your computer.

Real-Time Car 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 Car Detection OpenCV Python With Source Code

  • Step 1Download Source Code

    First, download the provided source code below.
    car detection download source code

  • Step 2Extract File

    Next, after the download finished extract the zip file.
    car detection extract file

  • Step 3: Import the project to your PyCharm IDE.

    Next, import the source code you’ve download to your PyCharm IDE.
    car detection open project

  • Step 4: Install all Libraries.

    Next, install all libraries given below.
    car detection import libraries

  • Step 5: Open cmd.

    Next, click the folder directory of the project and type cmd.
    car detection open cmd

  • Step 6: Run Project.

    last, run the project with the command “py”
    car detection run project

Download Source Code below


Car detection is one of the widely used features by companies and organizations these days. This technology uses computer vision to detect different types of vehicles in video or in real-time via a camera. It finds its applications in traffic control, car tracking, creating parking sensors, and many more.


If you have any questions or suggestions about Real-Time Car Detection OpenCV Python With Source Code, please feel free to leave a comment below.

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