Face Emotion Recognition System of Customer Service Using CNN Based on Embedded System
Pages 551 - 555
Abstract
The aim of this research is to design a facial emotion recognition system based on Raspberry Pi and Convolutional Neural Network (CNN) for analyzing customers' facial expressions in academic customer service. The utilization of TensorFlow as the framework and the integration of the Pypaz library will support the facial emotion recognition approach by processing images and classifying emotional expressions. The implementation of this system is expected to provide objective data regarding customer satisfaction based on their facial expressions and help improve customer service performance.
References
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October 2023
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Published: 27 December 2023
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SIET 2023
SIET 2023: International Conference on Sustainable Information Engineering and Technology
October 24 - 25, 2023
Badung, Bali, Indonesia
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