International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

An Intelligent Robot for Monitoring and Protecting Toddlers

Abstract

In today's fast-paced world, parents find themselves navigating a complex web of responsibilities, from demanding work commitments to the daily rigors of domestic life and the ever-present demands of parenting. In the midst of this juggling act, the task of ensuring the safety and well-being of their toddlers can become an increasingly daunting challenge. Nevertheless, with the advancement of technology, it is conceivable to develop an intelligent robot that can assist parents in watching their children and detecting potential threats. In this proposal, we present a concept for an intelligent robot capable of watching children remotely, detecting unauthorized presence, and alerting parents as required. The potential for further development of this robot extends beyond the realm of individual households. Its capabilities can be expanded to encompass the monitoring of children in nursery schools, play areas, and childcare centers. By adapting the robot's functionalities and incorporating features specific to these environments, this technology can be effectively utilized to ensure the safety and supervision of children in broader settings. 

Country : Sri Lanka

1 R. S. Thuduhena2 R. M. S. S. Weerarathne3 W. R. Lakshan4 M. A. D. K. B. Maddepola5 Prof. Sanath Jayawardena6 Ms. Rangi Liyanage

  1. Department of Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Computer Systems Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 594-600

doi.org/10.47001/IRJIET/2023.710079

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References

  1. Chikkamagaluru. D. of C. S. and E. Adichunchanagiri Institute of Technology, Institute of Electrical and Electronics Engineers. Bangalore Section, and Institute of Electrical and Electronics Engineers, ICAIT - 2019 : First IEEE International Conference on Advances in Information Technology : proceedings : 24th - 27th July 2019.
  2. R. Palaskar, S. Pandey, A. Telang, A. Wagh, and R. M. Kagalkar, “Final Year Students of Computer Engg,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 4, p. 4, 2015, doi: 10.17148/IJARCCE.2015.41242.
  3. 2011 6th International Conference on System of Systems Engineering. IEEE, 2011.
  4. G. Kahn, P. Abbeel, and S. Levine, “BADGR: An Autonomous Self-Supervised Learning-Based Navigation System,” IEEE Robot Autom Lett, vol. 6, no. 2, pp. 1312–1319, Apr. 2021, doi: 10.1109/LRA.2021.3057023.
  5. Institute of Electrical and Electronics Engineers, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) : 23-26 Oct. 2017.
  6. 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel. IEEE, 2010.
  7. Z. Zhang, “Research on Child Care Robot and the Influence on Children,” in Proceedings of the 2022 5th International Conference on Humanities Education and Social Sciences (ICHESS 2022), Atlantis Press SARL, 2022, pp. 225–233. doi: 10.2991/978-2-494069-89-3_26.
  8. D. M. H and C. Shivaraj, “ARTIFICIAL INTELLIGENCE FOR HUMAN BEHAVIOR ANALYSIS,” International Research Journal of Engineering and Technology, p. 1863, 2008, [Online]. Available: www.irjet.net
  9. P. Marcoň et al., “A system using artificial intelligence to detect and scare bird flocks in the protection of ripening fruit,” Sensors, vol. 21, no. 12, Jun. 2021, doi: 10.3390/s21124244.
  10. W. Pedrycz and S.-M. Chen, “Studies in Computational Intelligence 867 Development and Analysis of Deep Learning Architectures.” [Online]. Available: http://www.springer.com/series/7092
  11. I.Silva, S. Wickramasinghe, G. V. I. S. Silva, and D. S. Wickramasinghe, “Infant Cry Detection System with Automatic Soothing and Video Monitoring Functions Non-contact 2D optical measuring algorithm View project Infant Cry Detection System with Automatic Soothing and Video Monitoring Functions,” 2017. [Online]. Available: https://www.researchgate.net/publication/342802422.
  12. C. E. Dawson Jr, S. Mann, E. Roske, G. Vasseur, C. E. Jr, and C. Dawson, “Spotify: You have a Hit!,” 2021.
  13. T. O’rourke, “Temporal Trends in Music Popularity-A Quantitative analysis of Spotify API data Temporal Musical Analysis View project”, doi: 10.13140/RG.2.2.11551.71843.
  14. Y. Liu, “A Robotic Prototype System for Child Monitoring,” 2011. [Online]. Available: https://www.researchgate.net/publication/228992038.
  15. S. B, R. P, M. M, and A. J, “Advanced Baby Care System,” International Journal of Electronics and Communication Engineering, vol. 2, no. 10, pp. 14–17, Oct. 2015, doi: 10.14445/23488549/IJECE-V2I10P104.
  16. Prajna P, “IoT-based Wild Animal Intrusion Detection System.” [Online]. Available: www.ijert.org
  17. A.Ghosh and B. Garg, “Smart Ultrasonic Animal & Insect Repeller Through IOT,” 2020.
  18. B. Leibe, J. Matas, N. Sebe, and M. Welling, Eds., Computer Vision – ECCV 2016, vol. 9905. In Lecture Notes in Computer Science, vol. 9905. Cham: Springer International Publishing, 2016. doi: 10.1007/978-3-319-46448-0.
  19. Z. tao Hu, L. Zhou, B. Jin, and H. jiang Liu, “Applying Improved Convolutional Neural Network in Image Classification,” Mobile Networks and Applications, vol. 25, no. 1, pp. 133–141, Feb. 2020, doi: 10.1007/s11036-018-1196-7.
  20. A.Srinivasan, S. Abirami, N. Divya, R. Akshya, and B. S. Sreeja, “Intelligent child safety system using machine learning in IoT devices,” in Proceedings of the 2020 International Conference on Computing, Communication and Security, ICCCS 2020, Institute of Electrical and Electronics Engineers Inc., Oct. 2020. doi: 10.1109/ICCCS49678.2020.9277136.

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