Real-Time Drowsiness Detection OpenCV Python – Drowsiness detection is a safety feature that can help prevent accidents caused by drivers who have fallen asleep behind the wheel.
The goal of this intermediate Python project is to create a sleepiness detection system that detects when a person’s eyelids are closed for a short period of time. When drowsiness is detected, this system will notify the driver.
Importance of Real-Time Drowsiness Detection Python OpenCV
Driver drowsiness detection is a vehicle safety feature that helps avoid accidents caused by drowsy driving. According to several studies, weariness is responsible for roughly 20% of all traffic accidents, and up to 50% on particular highways.
Real-Time Drowsiness Detection In Python: Project Details and Technology
| Project Name: | Real-Time Drowsiness Detection Project In Python With Source Code |
| Abstract | Drowsiness Detection Python OpenCV is a car safety technology which helps prevent accidents caused by the driver getting drowsy. |
| 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 Drowsiness Detection OpenCV Python: About the project
This Real-Time Drowsiness Detection OpenCV Python was created with Python OpenCV. Drowsiness Detection is a safety solution that can avoid accidents caused by drivers who fall asleep behind the wheel.
We will use OpenCV to take photos from a camera and feed them into a Deep Learning model that will classify whether the person’s eyes are ‘Open’ or ‘Closed’ in a Drowsiness Detection OpenCV Python project.
This Real-Time Drowsiness 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.
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To start executing a Real-Time Drowsiness Detection OpenCV Python With Source Code, make sure that you have installed Python on your computer.
Real-Time Drowsiness 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 Drowsiness 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 Python project, we have built a drowsy driver alert system that you can implement in numerous ways. We used OpenCV to detect faces and eyes using a haar cascade classifier and then we used a CNN model to predict the status.
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Inquiries
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