Shayanthn/Real-Time-Emotion-Detection-with-OpenCV-DeepFace
This project is a real-time facial emotion recognition system using OpenCV, Mediapipe, and DeepFace. It captures video from a webcam, detects facial landmarks, and analyzes emotions in real-time using deep learning models.
This system helps professionals in fields like market research, UX design, or behavioral science to understand audience reactions by analyzing facial expressions in real-time. It takes live video from a webcam, processes facial movements, and displays detected emotions like happiness, sadness, or anger on-screen with probabilities. This is for researchers, analysts, or content creators who need immediate feedback on emotional responses.
Use this if you need to quickly observe and record the emotional state of an individual from live video footage.
Not ideal if you need to analyze multiple faces simultaneously or require highly accurate emotion detection in low-light conditions.
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Language
Python
License
MIT
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Last pushed
Dec 06, 2025
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