Facial expression emotion recognition using OpenCV is a technology that classifies emotions (such as anger, happiness) based on facial features in images and videos. It involves three key steps: face detection, tracking facial landmarks, and identifying muscle contractions to determine emotions. This technology finds applications in human-computer interaction and sentiment analysis, demonstrating the powerful potential of OpenCV in understanding and interpreting human emotions, enriching the scope of human-machine interfaces and psychological research.