现代信息科技2024，Vol.8Issue(5)：120-123,128,5.DOI:10.19850/j.cnki.2096-4706.2024.05.026
基于YOLOv5的抽烟检测系统设计
Design of Smoking Detection System Based on YOLOv5
摘要
Abstract
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.关键词
YOLOv5/抽烟检测/目标识别/语音播报Key words
YOLOv5/smoking detection/target recognition/voice broadcast分类
信息技术与安全科学引用本文复制引用
刘飞燕,唐瑶,赵正伟..基于YOLOv5的抽烟检测系统设计[J].现代信息科技,2024,8(5):120-123,128,5.基金项目
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) （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) （202210608126）
