基于深度学习算法的校园吸烟检测方案设计

Design of campus smoking detection scheme based on deep learning algorithm

为了提升校园公共区域禁烟监督管理的效率,文章提出了基于深度学习算法的吸烟行为检测方案。文章结合图像处理技术与深度学习算法对采集到的图像进行检测,通过人脸检测算法对人脸进行定位与裁剪,以降低背景信息的干扰。文章选取裁剪后的图像中的嘴部区域作为感兴趣区域,并利用目标检测模型对嘴部的香烟进行检测。文章方案并结合物理设备可有效地对校园公共区域吸烟情况进行检测,有助于进一步推进智慧校园的建设。

In order to improve the efficiency of smoking ban supervision and management in campus public areas,this article proposes a smoking behavior detection scheme based on deep learning algorithm.This article combines image processing technology and deep learning algorithms to detect collected images,and uses facial detection algorithms to locate and crop faces to reduce background information interference.This article selects the mouth region in the cropped image as the region of interest,and uses an object detection model to detect cigarettes on the mouth.Based on the above plan and combined with physical equipment,this article can effectively detect smoking in public areas on campus,which helps to further promote the construction of smart campuses.