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Baby Monitoring for SIDS Prevention – IoT
Agnes Shiny Rachel1, Pavithra M.2, Gokul kumar R.3, Lokesh N. S.4

1Agnes Shiny Rachel, Assistant Professor, Department of ECE, Sri Krishna College of Technology, Coimbatore, India.
2Pavithra M., Department of ECE, Sri Krishna College of Technology, Coimbatore, India.
3Gokul kumar R., Department of ECE, Sri Krishna College of Technology, Coimbatore, India.
4Lokesh N. S., Department of ECE, Sri Krishna College of Technology, Coimbatore, India.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2225-2229 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5653029320/2020©BEIESP | DOI: 10.35940/ijeat.C5653.029320
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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: Sudden Infant Death Syndrome also known as SIDS, is the leading cause of mortality in infants from a month to a year of age. Today’s lifestyle is fast-paced. Most of the working parents find a bit of difficulty to manage their work along with their child. So, they leave their baby to the grand-parents of the child. Due to SIDS, the infants have abnormal breathing, body temperature and digestion. In recent years, they use an ‘Eulerian magnification’ technique to detect the motion of the child. In that, they use a light camera to detect the action of the child and generate an alarm in the cradle. So, we proposed a method to detect the action of the child. We use a motion sensor to detect the motion of the child. During infant’s sleep their chest movement due to respiration is detected. When the SIDS occurs, infants would stop breathing. So, the sensor doesn’t detect any motion. It immediately sends an SMS to the working parents and generates an alarm in the cradle. Along with this, it also determines the availability of doctor in the nearby hospital or their family child specialist and sends the availability message to their parents and guardians mobile by using cloud algorithm. By this we can reduce the mortality of the child due to SIDS.
Keywords: Cloud technology, Raspberry pi, IOT, Video surveillance.