Application of AI technology in safety monitoring and warning at secondary schools
DOI:
https://doi.org/10.61591/jslhu.20.649Từ khóa:
Artificial Intelligence; Monitoring system; Behavioral recognition; Data Analysis; IoT Technology.Tóm tắt
The research "application of ai technology in safety monitoring and warning at secondary schools" aims to develop a system for monitoring and ensuring railing safety in secondary schools by integrating Artificial Intelligence (AI) with IoT sensors. The system is designed to detect potential risks of students falling from railings and provide timely alerts to minimize accidents. The research methodology involves utilizing an AI camera for image recognition, a motion sensor to detect movement, and a distance sensor to measure the gap between individuals and the railing. Additionally, the system integrates a warning speaker and sends alert messages to mobile phones in hazardous situations. Data is collected and processed using an image recognition algorithm with an accuracy of over 80%, combined with sensor signals to determine safe or unsafe conditions. The motion sensor operates with an accuracy of 92%, while the distance sensor has an error margin of less than 5%. Experimental results indicate that the system achieves an image recognition accuracy of 85% in good lighting conditions and 78% in low-light environments. The findings demonstrate that the system effectively detects risks and issues timely warnings, paving the way for further research and applications in public spaces to enhance user safety.
Tài liệu tham khảo
Luckin R., Holmes W., Griffiths M., and Forcier L. B. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Pearson, 2016.
Dũng N. T. Giải pháp ứng dụng AI hỗ trợ cảnh báo bảo vệ sức khỏe trong khi làm việc và học tập. (In Vietnam), vol. 690, pp. 10-17, 2024. Available: https://tapchi-upload.ukh.edu.vn/DangBai/b1b605a5-177d-48ef-a821-6dc21b3962b6/763c1db0-f8cc-4b02-a08f-4e6c78201a60.pdf
Kiên P. T., Cả N. Đ., Dũng Đ. T. Application of artificial intelligence in study days and scientific research at universities (In Vietnam), 2024. vol. 24, pp. 14-19.
Vũ Thế Công, Trần Quý Trọng. Một số vấn đề về ứng dụng trí tuệ nhân tạo và thiết bị giám sát công cộng trong phòng ngừa tội gây rối trật tự công cộng và hành vi khác xâm phạm trật tự công cộng. Tạp chí Khoa học Kiểm soát 2021, 4(50), (In Vietnam), vol. 4, no. 50. Available: http://khoahockiemsat.hpu.vn/portal/article/view/82
Trần Đức Hoàn. Application of radar sensor systems combined with ai cameras to support search and rescue operations in warehouses and factories. Tạp chí Phòng cháy và Chữa cháy 2025,
(In Vietnam).
DOI: https://doi.org/10.1984/jf.2025.1.111
Nguyễn Văn Quang. Ứng dụng công nghệ trí tuệ nhân tạo trong quản lý trang trại chăn nuôi. Tạp chí Khoa học Công nghệ và Chăn nuôi 2024. (In Vietnam), vol. 146, no. 9, p. 2-19.
Untung Rahardja. Camera Trap Approaches Using Artificial Intelligence and Citizen Science. International Transactions on Artificial Intelligence 2022. vol. 1, no. 1, pp. 71-83.
DOI: https://doi.org/10.33050/italic.v1i1.202
Md Abdul Baset Sarker, Masudul Imtiaz H., Thomas Holsen M., Abul Baki B. M. Real-Time Detection of Microplastics Using an AI Camera 2024. vol. 24, no. 13, pp. 1-15.
DOI: https://doi.org/10.3390/s24134394
Phan Trung Kiên, Nguyễn Đức Ca, & Đinh Tiến Dũng. Ứng dụng trí tuệ nhân tạo trong dạy học và nghiên cứu khoa học tại các trường đại học. Tạp Chí Giáo dục 2024, (In Vietnam), no. 24(24), pp. 14–19.