Real-Time Facial Emotion Recognition System Using Raspberry Pi and OpenCV

This project presents a real-time facial emotion recognition system utilizing a Raspberry Pi, a camera, and OpenCV for Python-based emotion analysis. The system is designed to detect and classify six fundamental emotions—sadness, anger, happiness, neutrality, surprise, and fear—by analysing facial expressions captured through a webcam. The Raspberry Pi, functioning as the central processing unit, interfaces with the camera to continuously monitor the subject's face, applying OpenCV's computer vision algorithms to extract and interpret facial features. By leveraging Python code, the system processes the visual data to accurately identify the individual's emotional state. This approach enables various applications, including enhancing user experience, improving human-computer interaction, and contributing to psychological research. The real-time capability of the system ensures prompt emotion detection and classification, providing valuable insights into the emotional well-being of individuals.