基于K210改进的口罩佩戴检测系统设计与实现
Design and Implementation of a Mask Wearing Detection System Based on K210 Improvement
夏翌雷 1李秀云 2朱向军 3李超 1李晓磊1
作者信息
- 1. 河北建筑工程学院,河北 张家口 075000
- 2. 河北民族师范学院,河北承德 067000;河北省文化旅游大数据技术创新中心,河北承德 067000
- 3. 浙江工业大学之江学院,浙江绍兴 312000
- 折叠
摘要
为解决传统的基于STM32的口罩佩戴检测系统检测精度低、速度慢的问题.在基于STM32的口罩佩戴检测系统的基础上,引入K210模块对系统进行改进.在检测算法上,选择YOLOv2检测算法进行口罩佩戴检测.经过10组照片集的试验检测,结果表明:改进后的系统相较于基于STM32的口罩佩戴检测系统在精度上提升了3.9％.
Abstract
To solve the problems of low detection accuracy and slow speed in traditional mask wearing detection systems based on STM32.On the basis of the STM32 based mask wearing de-tection system,the K210 module is introduced to improve the system.In terms of detection al-gorithm,YOLOv2 detection algorithm is selected for mask wearing detection.After testing 10 sets of photo sets,the results showed that the improved system improved by 3.9％in accuracy compared to the mask wearing detection system based on STM32.
关键词
口罩佩戴检测/K210/嵌入式/YOLOKey words
Mask wearing test/K210/Embedded/YOLO引用本文复制引用
出版年
2024
NETL
NSTL
万方数据