1
Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 35712, Egypt
(marwa.3eeed@gmail.com)
2
Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt
(Ahm1999edelshafey@gmail.com)
3
Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt
( eslamlaiali8@hotmail.com)
4
Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt
( eldeenn984@gmail.com)
5
Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt
(eslamwally45@gmail.com)
6
Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt
( ayaelsaawah@gmail.com)
Abstract :
The care of new born infants is the most important and sensitive part of the biomedical domain. A prototype is developed which gives a reliable and efficient infant monitoring system that can play a vital role in providing better infant care. The focus of this paper is to implement a smart health monitoring system that uses noninvasive sensors to read different health parameters. Implementation of affordable medical technology health monitoring sensor system is developed and demonstrated to measure blood saturation levels (SpO2), heart rate, motion rate, and body temperature simultaneously. The embedded system is based on a Wi-Fi module to the mobile application for the parents to be aware of his condition for reassurance. The safety issue of the infant is also confirmed in this system. So its location can be required in the application using a GPS module so that the infant more saver to avoid widespread abductions and The theft of the infants is reduced.
Keywords :
Child abduction; Bracelet; Biological signals measurements
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| Style | # |
|---|---|
| MLA | Marwa Eid, Ahmed Tarek, Eslam Ahmed , Nour El deen Mohamed, Eslam Mohamed, Aya Mahmoud. "Building An Intelligent Security System for Preventing Child Abduction." Journal of Artificial Intelligence and Metaheuristics, Vol. 1, No. 1, 2022 ,PP. 45-52 (Doi : https://doi.org/10.54216/JAIM.010105) |
| APA | Marwa Eid, Ahmed Tarek, Eslam Ahmed , Nour El deen Mohamed, Eslam Mohamed, Aya Mahmoud. (2022). Building An Intelligent Security System for Preventing Child Abduction. Journal of Journal of Artificial Intelligence and Metaheuristics, 1 ( 1 ), 45-52 (Doi : https://doi.org/10.54216/JAIM.010105) |
| Chicago | Marwa Eid, Ahmed Tarek, Eslam Ahmed , Nour El deen Mohamed, Eslam Mohamed, Aya Mahmoud. "Building An Intelligent Security System for Preventing Child Abduction." Journal of Journal of Artificial Intelligence and Metaheuristics, 1 no. 1 (2022): 45-52 (Doi : https://doi.org/10.54216/JAIM.010105) |
| Harvard | Marwa Eid, Ahmed Tarek, Eslam Ahmed , Nour El deen Mohamed, Eslam Mohamed, Aya Mahmoud. (2022). Building An Intelligent Security System for Preventing Child Abduction. Journal of Journal of Artificial Intelligence and Metaheuristics, 1 ( 1 ), 45-52 (Doi : https://doi.org/10.54216/JAIM.010105) |
| Vancouver | Marwa Eid, Ahmed Tarek, Eslam Ahmed , Nour El deen Mohamed, Eslam Mohamed, Aya Mahmoud. Building An Intelligent Security System for Preventing Child Abduction. Journal of Journal of Artificial Intelligence and Metaheuristics, (2022); 1 ( 1 ): 45-52 (Doi : https://doi.org/10.54216/JAIM.010105) |
| IEEE | Marwa Eid, Ahmed Tarek, Eslam Ahmed, Nour El deen Mohamed, Eslam Mohamed, Aya Mahmoud, Building An Intelligent Security System for Preventing Child Abduction, Journal of Journal of Artificial Intelligence and Metaheuristics, Vol. 1 , No. 1 , (2022) : 45-52 (Doi : https://doi.org/10.54216/JAIM.010105) |