Scinovex
article Open Access

Facial expression recognition based scoring system for restaurants by using deep learning concepts

B Leelavathi

Abstract

Now-a-days in advance countries automated unmanned restaurants are more popular as this restaurants will not have any human power to take customer feedbacks about food quality and service and to automate this process author has introduce concept called ‘Deep Learning Facial Expression Recognition Based Scoring System For Restaurants’ where customers will be asked to give rating to food and upload his photo and based on user facial expression application will inform whether customer was satisfied or not. To extract facial expressions from photo we are using CNN (Convolution Neural Networks) machine learning algorithm. This algorithm can predict 3 different expression from photo such as satisfied, neutral or disappointed.

Food Supply Chain TraceabilityAdvanced Chemical Sensor TechnologiesIoT-based Smart Home SystemsFacial expression recognitionComputer scienceUploadExpression (computer science)Facial expressionConvolutional neural networkDeep learningProcess (computing)Artificial intelligenceQuality (philosophy)
Citations
0
FWCI
0.00
field-weighted impact
References
6
Percentile
37%
vs. same field & year
References
Constants across cultures in the face and emotion.
Journal of Personality and Social Psychology · 1971 · 5,342 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.