Facial Expression Detection Using Neural Network for Customer Based Service

Facial expression recognition is a hot research direction in the field of pattern recognition and computer vision. In this paper, the images of customer's face are used to detect the facial expression in them to enhance the customer based services. The convolution neural network using the VGG-16 architecture is used as the deep learning model which extracts essential features in an image and enables us to recognize the expression of the customer. A customer service system architecture is designed using two neural networks, a convolution neural networks using the VGG-16 architecture our baseline and the Google cloud platform vision application program interface to explore the needs of different models based on the client usage.