Open AccessDesign and Architecture of a Public Satisfaction Detection Camera Based on Facial Emotional Analysis
Author(s) -
Martin Clinton Tosima Manullang,
Ahmad Luky Ramdani,
Namuri Migotuwio
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/537/1/012021
Subject(s) - computer science , service (business) , customer satisfaction , database , the internet , world wide web , interface (matter) , operating system , business , economy , bubble , marketing , maximum bubble pressure method , economics
One way to measure customer satisfaction is to involve the Internet of Things and Artificial Intelligence in the form of mood recognition services provided by Amazon Web Service and the services available to it, such as S3 (Simple Storage Service, a storage service from AWS), Relational Database Services, Rekognition services (An Image Recognition Services), Application Protocol Interface, Lambda Services. The source of input acquisition in this study uses the ESP-EYE device, the ESP32 microcontroller which has a camera. The device is connected to Amazon web service via the internet. Data is stored in a storage service called S3. S3 is used as a storage bucket, where Lambda will be the center of the process that pre-processes the face image data to crop the edge. After the cropping process, lambda will call the Rekognition service to start the Rekognition services process. The relationship of each data is stored in RDS using MariaDB. The results are, that the internet of Customer Satisfaction Systems can be built with the involvement by several products of Amazon Web Services. There is also considerable efficiency after the face image file has been processed by lambda to crop. The output from the system is recorded in the database and sent back to ESP-EYE for display in the serial monitor. The development of this system can be forwarded to an information system that allows each column in the database to be presented in the form of an information system. This system can help to measure customer satisfaction and recapitulate the results without involving the surveyor team so that it will save operational costs and time efficiency.