Face Recognition and Smile Detection as an Appraisal of Customer Satisfaction Instrument
Sri Diah Hardianti, Budi Sugandi, Asrizal Deri Futra · 2018
The spreading of cafes, restaurant, and food courts in a small market area can create a high-level competitive situation among food serving industries. As customer satisfaction is the main key to reach the glory, making up or keeping up a service or product quality is a critical decision. In this research, we presented a steady and easy way out to solve this problem based on face recognition and smile detection method. We implemented an Adaboost (adaptive boosting) algorithm by Viola-Jones which is the robust algorithm for recognizing the face and detecting a smile. It works completely by cascade classifier step to ensure the object detected is a face. Our system performance attained 96,43% of accuracy in real time condition. It is able to detect a face in a range of 25-100 cm, and it can detect a smile from 25-45 cm in a certain position and conditions.