Facial Expression Recognition Based Scoring System for Restaurants using Deep Learning
Nagini K1, Lakshmidhar Reddy D2, Mokshagna M3, Lohith Kumar B4, Chetana Tukkoji5
1Nagini K, Assistant Professor of GITAM Deemed To Be University, Computer Science and Engineering.
2Lakshmidhar Reddy D, Assistant Professor of GITAM Deemed To Be University, Computer Science and Engineering.
3Mokshagna M, Assistant Professor of GITAM Deemed To Be University, Computer Science and Engineering.
4Lohith Kumar B, Assistant Professor of GITAM Deemed To Be University, Computer Science and Engineering.
5Chetana Tukkoji, Assistant Professor of GITAM Deemed To Be University, Computer Science and Engineering.
Manuscript received on March 06, 2020. | Revised Manuscript received on March 18, 2020. | Manuscript published on March 30, 2020. | PP: 6-9 | Volume-6 Issue-8, March 2020. | Retrieval Number: 100.1/ijese.H2467036820 | DOI: 10.35940/ijese.H2467.036820
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Now a days, 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.
Keywords: CNN, Facial Expression Recognition, web server, Restaurant Scoring.