Implementation of Automated Baby Monitoring: CCBeBe

Soohyun Choi, Songho Yun and Byeongtae Ahn
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Soohyun Choi: School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Korea
Songho Yun: School of Electronics and Communication Engineering, Chonnam National University, Gwangju 61186, Korea
Byeongtae Ahn: Liberal & Arts College, Anyang University, Anyang 14028, Korea

Sustainability, 2020, vol. 12, issue 6, 1-15

Abstract: An automated baby monitoring service CCBeBe (CCtv Bebe) monitors infants’ lying posture and crying based on AI and provides parents-to-baby video streaming and voice transmission. Besides, parents can get a three-minute daily video diary made by detecting the baby’s emotion such as happiness. These main features are based on OpenPose, EfficientNet, WebRTC, and Facial-Expression-Recognition.Pytorch. The service is integrated into an Android application and works on two paired smartphones, with lowered hardware dependence.

Keywords: baby monitoring; automated monitoring; emergency alert; big data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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