Child Safety AI QR: Empowering Child Safety through Artful QR Technology
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
Lee, Matthew T., and Ramiro Martinez. "Immigration reduces crime:An emerging scholarly consensus." Immigration, crime and justice (2009): 3-16.
Tan, Tee Hean, Shiau Foong Wong, Shalini Nagaratnam, Muhammad Naeim Mohd Aris, and Wooi Keong Yong. "From Paper to Pixels: An Investigation of the Feasibility and Acceptability of QR Code Attendance-Taking in A Higher Education Setting." In The 15th International Conference on Education Technology and Computers, pp. 229-234. 2023.
Richardson, Michael C. et al. “Loading Manufacturer Usage Description (MUD) URLs from QR Codes.” RFC 9238 (2022): 1-12.
Griffin, Timothy, Joshua H. Williams, and Colleen Kadleck. "AMBER Alert effectiveness reexamined." Criminal justice policy review 33, no. 1 (2022): 23-44.
Mello, Débora Falleiros de, Nayara Cristina Pereira Henrique, Letícia Pancieri, Maria de La Ó. Ramallo Veríssimo, Vera Lúcia Pamplona Tonete, and Mary Malone. "Child safety from the perspective of essential needs." Revista latino-americana de enfermagem 22 (2014): 604-610.
Surynovych, Olena, Mykola Rudynets, Iurii Lukianchuk, and Inna Kondius. "QR and 3D Technologies Integration in Children's Safety Projects." In 2022 12th International Conference on Dependable Systems, Services and Technologies (DESSERT), pp. 1-5. IEEE, 2022.
Chaudhary, Harshal, Ranjana Zinjore, and Varsha Pathak. "Parent-hook: a child tracking system based on cloud url." In 2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC), pp. 219-224. IEEE, 2020.
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