Automated Facial Expression Recognition and Age Estimation Using Deep Learning

With the advancement of computer vision techniques in surveillance systems, need for more proficient, intelligent, and sustainable facial expressions age recognition is necessary. The main purpose this study to develop accurate an system that capable error-free human expression both indoor outdoor environments. proposed first takes input image pre-process it then detects faces entire image. After landmarks localization helps formation synthetic face mask prediction. A novel set features are extracted passed a classifier classification group. tested over two benchmark datasets, namely, Gallagher collection person dataset Images Groups dataset. achieved remarkable results these datasets about accuracy computational time. would also be applicable different consumer application domains such as online business negotiations, behavior analysis, E-learning environments, emotion robotics.