Facial Expression Recognition Based Scoring System for Restaurants using Deep Learning

K. Nagini, D LakshmidharReddy, M Mokshagna, B LohithKumar, C. Tukkoji
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Abstract

Now a day, the technology has been increased. Hence this is a tool for the advancement of the earlier things. So we are making use of the technology for restaurant scoring system. The fame of unmanned restaurants is the hot topic in society. Because of the absence of the staff, there is no direct contact with the customers to take feedback of the restaurant. This paper represents the automated rating system for the restaurants by detecting the facial emotions with the help of Convolutional Neural Network [CNN] .It consists of web server and a pretrained CNN and detection of facial expression.
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基于面部表情识别的餐厅深度学习评分系统
现在的一天,技术已经提高了。因此,这是早期事物发展的工具。因此,我们正在利用这项技术为餐厅评分系统。无人餐厅的名声在社会上是一个热门话题。由于没有工作人员,没有直接与顾客接触来接受餐厅的反馈。本文利用卷积神经网络[CNN]实现了一种基于面部表情检测的餐厅自动评分系统,该系统由web服务器和预训练好的CNN以及面部表情检测组成。
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