As healthcare technology advances, there is growing enthusiasm for the Internet of Things (IoT), particularly in the era of baby health. To monitor and enhance baby health through ongoing data gathering efforts and health management features, this article presents a smart crib which integrates with Internet of Things technology. The temperature, moisture, and sound sensors are all part of the smart crib sensor network. It also continuously monitors physiological indicators like body temperature and notifies parents or other caregivers of information gathered by the moisture and sound sensors. Furthermore, the suggested system will remind families of immunization schedules and send automated reminders to parents or guardians to encourage them to follow the vaccine schedule. This Internet of Things (IoT)-based smart cradle seeks to reduce parental stress, guarantee on-time immunizations, and improve the general safety and wellbeing of infants by fusing proactive reminders with health monitoring. The suggested solution is a scalable and useful tool for contemporary childcare since it places an emphasis on data security, low power consumption, and ease of use.
References
1.
Alam H, Burhan M, Gillani A, Haq I ul, Arshed MA, Shafi M, et al. IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning. Wireless Communications and Mobile Computing. 2023;2023:1–11.
2.
VLSI-Based MED-MEC Architecture for Enhanced IoT Wireless Sensor Networks. Journal of VLSI circuits and systems. 2024;6(2).
3.
Pratap NL, Anuroop K, Devi PN, Sandeep A, Nalajala S. IoT based Smart Cradle for Baby Monitoring System. 2021 6th International Conference on Inventive Computation Technologies (ICICT). IEEE; 2021. p. 1298–303.
4.
Kumar S, Tm. Wearable sensors for flexible health monitoring and IoT. National Journal of RF Engineering and Wireless Communication. 2023;(1):10–22.
5.
Lakshmi M, Sameen C, Maneesha D, Dharani G, Mubeena K, Dean A. Smart home using blynk app based on IOT. International journal of creative research and thoughts. 2022;(5).
6.
Cheng L, Wei B. Transforming smart devices and networks using blockchain for IoT. Progress in Electronics and Communication Engineering. 2024;(1):60–7.
7.
Li N, Zhang B. The Design and Implementation of Responsive Web Page Based on HTML5 and CSS3. 2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE; 2019. p. 373–6.
8.
Bhupesh D, Gopalakrishnan N. Connected health using IoT. Int J Adv Eng Emerg Technol. 2022;(2):81–4.
9.
Taylor B, Garstang J, Engelberts A, Obonai T, Cote A, Freemantle J, et al. International comparison of sudden unexpected death in infancy rates using a newly proposed set of cause-of-death codes. Archives of disease in childhood. 2015;(11):1018–23.
10.
Al-Saud F, Farsi A, M. Energy efficient VLSI design for next generation IoT devices. Journal of Integrated VLSI, Embedded and Computing Technologies. 2025;(1):46–52.
11.
Oyejide A, James. Development of a baby cot with temperature and weight monitoring features: Focus on parents with phocomelia and upper limb amputation. Scientific African. 2023;1945.
12.
Flammini F, Trasnea G. Battery-powered embedded systems in IoT applications: Low power design techniques. SCCTS Journal of Embedded Systems Design and Applications. 2025;(2):39–46.
13.
TENCON 2018 - 2018 IEEE Region 10 Conference. IEEE; 2018.
14.
Burhan M, Rehman RA, Khan B, Kim BS. IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey. Sensors. 2018;18(9):2796.
15.
Atzori L, Iera A, Morabito G. The Internet of Things: A survey. Computer Networks. 2010;54(15):2787–805.
16.
Ubaid MT, Khan MZ, Rumaan M, Arshed MA, Khan MUG, Darboe A. COVID-19 SOP’s Violations Detection in Terms of Face Mask Using Deep Learning. 2021 International Conference on Innovative Computing (ICIC). IEEE; 2021. p. 1–8.
17.
Arshed MA, Qureshi W, Rumaan M, Ubaid MT, Qudoos A, Khan MUG. Comparison of Machine Learning Classifiers for Breast Cancer Diagnosis. 2021 International Conference on Innovative Computing (ICIC). IEEE; 2021. p. 1–6.
18.
Arshed M, Qureshi W, Khan M, Jabbar M. Symptoms based Covid-19 disease diagnosis using machine learning approach. 2021;1–7.
19.
Arshed M, Ghassan H, Hussain M, Hassan M, Kanwal A, Fayyaz R. A light weight deep learning model for real world plant identification. 2022;40–5.
20.
Shasna M, Mathilakam K, Kabeer M, Navami Krishna U, Nazar N, Ashok N. Infant cradle monitoring system using IoT. Int J Adv Res Comput Commun Eng. 2019;(4).
21.
Shahadi HI, Muhsen DH, Haider HT, Taherinia AH. Design and Implementation of a Smart Baby Crib. IOP Conference Series: Materials Science and Engineering. 2020;671(1):012050.
22.
Joseph S, Gautham.J A, Kumar A, Harish Babu MK. IOT Based Baby Monitoring System Smart Cradle. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE; 2021. p. 748–51.
23.
Rudyansyah A, Hendric Spits Warnars HL, Lumban Gaol F, Matsuo T. A prototype of Baby Monitoring Use Raspberry Pi. 2020 International Conference on ICT for Smart Society (ICISS). IEEE; 2020. p. 1–4.
24.
Durga S, Itnal S, Soujanya K, Basha C, Saxena C. Advanced and effective baby care monitoring Smart cradle system using Internet of Things. 2021;35–42.
25.
Talukdar S, Saha S. Intelligent baby monitoring system using Blynk. 2021;
26.
Goyal M, Kumar D. Automatic E-baby cradle swing based on baby cry. International Journal of Computer Applications. 2013;(21):39–43.
27.
Patil S, Mhetre M. Intelligent baby monitoring system: a review. J Instrum Technol Innov. 2014;(1):16–23.
28.
Palaskar R, Pandey S, Telang A, Wagh A, Kagalkar R. An automatic monitoring and swing the baby cradle for infant care. International Journal of Advanced Research in Computer and Communication Engineering. 2015;(12):187–9.
29.
Symon AF, Hassan N, Rashid H, Ahmed IU, Taslim Reza SM. Design and development of a smart baby monitoring system based on Raspberry Pi and Pi camera. 2017 4th International Conference on Advances in Electrical Engineering (ICAEE). IEEE; 2017. p. 117–22.
30.
Joshi MP, Mehetre DC. IoT Based Smart Cradle System with an Android App for Baby Monitoring. 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE; 2017. p. 1–4.
31.
Joseph S, Gautham.J A, Kumar A, Harish Babu MK. IOT Based Baby Monitoring System Smart Cradle. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE; 2021. p. 748–51.
32.
Jabbar WA, Shang HK, Hamid SNIS, Almohammedi AA, Ramli RM, Ali MAH. IoT-BBMS: Internet of Things-Based Baby Monitoring System for Smart Cradle. IEEE Access. 2019;7:93791–805.
33.
Wahab M, Nor D. Safety and health monitoring system for baby incubator using IoT. Evolution in Electrical and Electronic Engineering. Nov. 2021;(2):256–64.
34.
Suci Lestari Nasution W, Nusa P. IMPLEMENTATION OF THE INTERNET OF THINGS (IOT) FOR REMOTE LIGHT CONTROL USING NODEMCU ESP8266 AND THINGSPEAK VIA WEBSITE-BASED INTERNET. Journal of Computer Science and Technology (JCS-TECH). 2023;3(1):33–9.
35.
Alam H, Burhan M, Gillani A, Haq I ul, Arshed MA, Shafi M, et al. IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning. Wireless Communications and Mobile Computing. 2023;2023:1–11.
36.
Sasmoko D, Bachtiar D. Intelligent Baby Box Based on IoT to Observe Room Temperature and Baby Crying. Lontar Komput J Ilm Teknol Inf. 2018;(3):114–23.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.