Child Safety AI QR: Empowering Child Safety through Artful QR Technology

Authors

  • Ira Nath, Sumit Das, Dipansu Mondal, Baivab Mukhopadhyay, Souradip Pal, Disha Karmakar

Keywords:

Child Safety, AI Technology, QR Codes, Artful QR Technology.

Abstract

The safety of children remains a paramount concern, with incidents of child abduction, missing children, and accidents posing persistent challenges to caregivers and society at large. Traditional methods of ensuring child safety, such as identification cards, often fall short of delivering effective solutions. In response to these pressing issues, this paper introduces an innovative web application that combines cutting-edge AI technology with artful Quick Response (QR) codes to enhance child safety. Incidents of child abduction, missing children, and accidents pose ongoing challenges for caregivers and society. Traditional methods, particularly identification cards, have proven inadequate in keeping pace with the dynamic nature of these threats. The limitations of these approaches necessitate innovative solutions that can offer real-time and comprehensive child safety enhancements. Child Safety AI QR is designed as a web application that integrates cutting-edge Artificial Intelligence (AI) technology. This integration allows for a dynamic and proactive approach to child safety, going beyond the static nature of traditional identification methods.

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References

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Published

12.06.2024

How to Cite

Ira Nath. (2024). Child Safety AI QR: Empowering Child Safety through Artful QR Technology. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 2795 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6759

Issue

Section

Research Article