An Automated Baby Monitoring System
Y Sai Subhash Reddy1, Koye Sai Vishnu Vamsi2, Golla Akhila3, Anudeep Poonati4, Koye Jayanth5

1Y Sai Subhash Reddy, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
2Koye Sai Vishnu Vamsi, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
3Golla Akhila, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
4Anudeep Poonati*, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
5Koye Jayanth, Department of Computer Science and Engineering, Vellore Institute of Technology, AP, India.
Manuscript received on August 10, 2021. | Revised Manuscript received on August 13, 2021. | Manuscript published on August 30, 2021. | PP: 114-119 | Volume-10 Issue-6, August 2021 | Retrieval Number: 100.1/ijeat.F30580810621 | DOI: 10.35940/ijeat.F3058.0810621
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© The Authors. 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 caring for an infant is a tough job for parents who are working away in different location. This task presents an infant observing framework for occupied guardians so they can guarantee the appropriate consideration and wellbeing of their children. This framework can recognize the child’s movement and helps in detecting audio; particularly crying and infant’s current position can be predicted using CNN so the parent can check the status of the infant along with the sensor data while away from the infant. The proposed work will read the data from various sensors and then the data is processed by the Raspberry PI continuously. The PI camera is also integrated to capture the pictures from the video stream of the baby. Hence there will be continuous monitoring of the baby. This infant checking framework is equipped for distinguishing temperature and crying state of the child naturally. The Raspberry Pi B module is utilized in managing all the connected components. Sound sensor is utilized to distinguish child’s crying, temperature sensor to identify infant’s temperature and Pi camera is utilized to catch the infant’s condition and capture the video or photographs of the baby during the abnormal conditions and send them to the guardian or parent over the internet using the IOT modules. This proposed framework can give a simpler and helpful route for occupied guardians as far as dealing with their infants.
Keywords: Raspberry pi, Pi camera, Sound sensor, Temperature sensor, Load cell, Convolutional Neural Network