EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published
This submission belongs to the session 05. NICE.XSM-08: North-Ibero-America Congress on Exp. & Simul. Methods, Valencia, Spain-Miami, USA, 2022 of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
31 Dec, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
Aliya Batool, BAQIR NADEEM HASHMI, AQIB ALI, SAMREEN NAEEM, MUZAMIL HUSSAIN BUKHARI, MUHAMMAD MEHBOOB KHAN, The Smart Cradle System Basis on Internet of Things, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-13940
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The Smart Cradle System Basis on Internet of Things

BAQIR NADEEM HASHMI 2
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MUZAMIL HUSSAIN BUKHARI 4
MUHAMMAD MEHBOOB KHAN 5
1. Department of Information Technology, The Islamia University Bahawalpur, Pakistan
2. Faculty of Technology Management and Business Universiti Tun Hussein Onn Malaysia
3. College of Automation, Southeast University Nanjing China
4. Department of Artificial Intelligence , The Islamia University Bahawalpur, Pakistan
5. Department of Computer Science, The Islamia University Bahawalpur, Pakistan
Abstract

We all know that raising children is challenging, primarily when both parents work. It is hard to give 24 hours in such cases. Therefore, we must create something distinctive to benefit parents. Disease-causing bacteria are more likely to infect newborns. Equipment shortages may make matters worse. A model for a reliable and efficient infant monitoring system may improve neonatal care. It is a creative, safe, and innovative infant cradle. Internet of Things devices like Raspberry Pi, Arduino, Humidity & Temperature sensors, Swing Automation, Cry Detecting Systems, Live Video Surveillance, and Cloud Services enhance smartness and innovation. The Cradle has several sensors/modules to monitor the baby's every move: a Humidity & Temperature Sensing Module to detect bed wetness, A Camera on Top of the Cradle for live video footage, and a Cry Detection Circuit to analyze Cry Patterns to activate the swinging mechanism. Sensor and module data will be stored in the cloud and analyzed regularly. A Health Algorithm is used on these datasets to collect information on natural states, which helps diagnose common illnesses. This procedure protects and cares for newborns effectively. Baby breathing problems are detected using a sensor. This sensor detects a baby's breath. Therefore, this technology improves the internet of things child monitoring for parents.

Keywords
Cradle
IoT
Raspberry Pi
Machine Learning.
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