Real-Time Smile Detector Using Python & OpenCV

Introduction

Hey everyone! I just built a real-time smile detector using Python and OpenCV . This project detects faces and identifies smiles in a live video feed from a webcam. It’s simple, lightweight, and a great way to experiment with computer vision!

How It Works

The smile detector uses Haar cascade classifiers, a popular feature-based object detection method in OpenCV. The script:
Captures video from a webcam
Detects faces using the Haar cascade face detector
Detects smiles within the detected face region
Draws rectangles around smiles in real time

Technologies Used

Python 3.x
OpenCV (cv2)
Haar Cascade Classifier

Installation & Usage

Want to try it out? Follow these simple steps:

1️⃣ Clone the repo:

git clone https://github.com/Sripadh-Sujith/Realtime_smile_detector.git
<span>cd </span>Realtime_smile_detector
git clone https://github.com/Sripadh-Sujith/Realtime_smile_detector.git
<span>cd </span>Realtime_smile_detector
git clone https://github.com/Sripadh-Sujith/Realtime_smile_detector.git
cd Realtime_smile_detector

Enter fullscreen mode Exit fullscreen mode

Applications

Fun AI applications
Emotion analysis
🤖 Human-computer interaction
Sentiment detection in live streams

What’s Next?

I plan to improve this project by:

Implementing deep learning-based smile detection using CNNs 🧠

Adding emotion classification for better accuracy

Optimizing performance for real-time applications

Check Out the Code

Github:-https://github.com/Sripadh-Sujith/Realtime_smile_detector

If you liked this project, give it a ⭐ on GitHub and let me know your thoughts in the comments!

原文链接： Real-Time Smile Detector Using Python & OpenCV