摘要
针对公共禁烟场所中自动检测识别抽烟行为的问题,提出了基于YOLOv5目标识别算法的抽烟检测系统。该系统主要有目标识别模块、语音播报模块、摄像头模块和数据库模块,实验使用Python语言在PyCharm开发平台上对目标识别功能和数据库模块进行设计和编程实现,通过Arduino开发平台连接SYN6288语音播报模块,实现抽烟行为的智能检测识别,对抽烟检测研究有一定的参考意义。
A smoking detection system based on the YOLOv5 object recognition algorithm is proposed to address the issue of automatic detection and recognition of smoking behavior in public non-smoking places.The system mainly consists of a target recognition module,a voice broadcast module,a camera module,and a database module.The experiment uses Python language to design and program the target recognition function and database module on the PyCharm development platform,and connects to the SYN6288 voice broadcast module through Arduino development platform,so as to achieve intelligent detection and recognition of smoking behavior,which has certain reference significance for smoking detection research.
作者
刘飞燕
唐瑶
赵正伟
LIU Feiyan;TANG Yao;ZHAO Zhengwei(School of Mathematics and Physics,Guangxi Minzu University,Nanning 530006,China)
出处
《现代信息科技》
2024年第5期120-123,128,共5页
Modern Information Technology
基金
广西民族大学国家级大学生创新创业训练计划项目资助(202210608127)
广西民族大学国家级大学生创新创业训练计划项目资助(202210608126)。
