"基于Python Django的人脸表情识别系统设计与实现"

In the era of digitalization, various aspects of people's daily lives are covered by digital technologies. Among many digital applications, facial recognition technology has become a very in-depth and mature technology in information verification, password security, and other fields. The technology of facial recognition has existed for decades, and researchers have accumulated a wealth of research experience in basic facial profile recognition and other aspects over the past decades. There has also been extensive research on facial expression recognition, which is based on the position of facial features such as eyebrows, eyes, and face shape to extract features and confirm facial recognition. Facial recognition is achieved by constructing overall facial features based on detailed facial features. This project aims to develop a facial expression recognition system using Django framework technology. Through this system development, effective recognition of various expressions such as happiness, anger, and sadness can be achieved. In this recognition, a classification network is used to construct samples, and deep learning and training of computer technology are used to create relevant recognition models. By using the classification operation, effective classification of facial expressions can be achieved, thus enabling the functional application of facial expression recognition. Keywords: facial expression recognition; Python; Django; facial features.