Real-Time Emotion Detection using CNN
Samrat Ghorui
😊 Real-Time Emotion Detection using CNN
This project detects human emotions (like Happy, Sad, Angry, etc.) in real-time using your webcam, powered by Convolutional Neural Networks (CNN) and OpenCV.
📁 Project Structure
🧠 Emotion Classes Detected
Angry
Disgust
Fear
Happy
Sad
Surprise
Neutral
📦 Step-by-Step Setup Instructions
✅ 1. Prerequisites
Python 3.7 or higher
Webcam (built-in or external)
📁 2. Clone the Repository
🧪 3. Create a Virtual Environment (Optional but Recommended)
📚 4. Install Required Libraries
🎯 5. Run the Application
Make sure the files
emotion_model.h5 and haarcascade_frontalface.xml are in the same directory as your Python script.This will activate your webcam and start detecting emotions in real time.
🧠 Libraries Used
Keras – For loading the pre-trained CNN modelTensorFlow – Backend for KerasOpenCV – For webcam access and face detectionNumPy – For image array manipulation⚙️ How It Works
The webcam feed is captured using
cv2.VideoCapture().Faces are detected in each frame using Haar Cascades.
The face region is preprocessed and passed through a CNN model.
The model outputs an emotion class which is displayed on the screen.
🖼️ Sample Output
Emotion label is overlaid on the detected face in real-time video feed.
📞 Contact
For questions, suggestions, or collaboration:
Like this project
Posted May 29, 2025
Developed a real-time emotion detection system using CNN and OpenCV.
