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Safety protection using artificial intelligence internet of things for preschool education
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NETL
NSTL
Wiley
With the rapid development of social economy and information technology,safety protection in daily life has become more and more important. Althoughthe awareness of safety has increased, the children’s safety is still not paidenough attention. Children still may suffer accidental injuries, especially indeveloping countries. Children spend most of time at school in a day. Thus, ithas become an emergent challenge to guarantee children’s safety at school. Inorder handle this issue, this paper designs an Artificial Intelligence Internet ofThings (AIoT) safety protection systemfor preschool education. TheAIoT safetyprotection system consists of three parts: camera, Raspberry Pi, and monitoringcomputer. The camera captures the images of classroom scene during preschooleducation. The Raspberry Pi analyzes the images from camera to determine theunsafe behaviors of children, in which a YOLOv8 model is deployed. The monitoringcomputer receives the alarms from Raspberry Pi. The camera, RaspberryPi, and monitoring computer are connected using wireless sensor network. Theexperiments show the behavior recognition model can correctly identify mostof dangerous behaviors of children in classroom. The simulation result demonstratesthe AIoT safety protection system can find the dangerous behaviors intime.
artificial intelligence internet of thingsbehavior recognitionsafety protectionwireless sensor network
Yun Tan、Shuangyuan Mo
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Liuzhou Institute of Technology,Guangxi, China
Guangxi University of Science andTechnology, Guangxi, China
NETL
NSTL
Wiley
