Facial expression recognition is an important area of computer vision with applications in human-computer interaction, security, and medical diagnosis. Current techniques use images and videos of faces to analyze facial features and movements to detect emotions like happiness, sadness, fear, surprise, anger, and disgust. Improving emotion recognition accuracy will require more advanced deep learning models that can better understand context and subtle facial cues from images and video sequences.