教学综合楼智能化系统设计

摘要因此，构建智慧化的教学体系，对其进行改造势在必行。对教育系统进行了理性的智能设计，从而有效地克服了以往教育系统中的枯燥无味、无序无序等问题。随着科学技术的发展，我们国家的教育水平不断提高，越来越多的学校向智能方向发展。电，是现代工业生产，民用住宅，企业，企业等的主要能量来源，也是现代社会发展的物质基础。没有电，就不可能实现国家经济的现代化.当今世界，所有的信息、网络都是以电力为前提的。此外，由于我国对教育的重视及投资的不断提高，各个地区的教学大楼数量也在不断增多，与此相对应的，将给校园的基础设施尤其是电气设备带来更多的考验。学校综合大楼的智能化管理系统主要有：智能考勤，智能门禁，智能门禁，智能门禁，自动灯光控制器等：P2.5温度和湿度检测器，光照器，空气调节开关：电子幕布轨道及其他教室的辅助控制装置。与此同时，随着面孔识别技术的持续发展，由于它的直接、友好、无侵害等特点，它在安全、身份、自动监控等方面有着巨大的发展前景，所以，本文将重点放在了对教室环境下的面孔检测图像的预处理和面孔识别算法的研究上，并最终设计和实现了一个以面孔识别为基础的班级考勤系统。关键词：教学楼智能化：人脸识别；特征提取；考勤系统：AbstractThe traditional education environment can no longer meet people's needs for"high quality of life",and it is very necessary to improve the traditional teachingenvironment by building an intelligent teaching system.The reasonable intelligentdesign of teaching solves the problem of cumbersome and chaotic management oftraditional teaching content.The development of science and technology hasaccelerated the pace of China's education,and most schools are developing towardsintelligence.Electricity is the main energy and power of modern industrial production,civil housing,enterprises and institutions,and is the material foundation of moderncivilization.Without electricity,there will be no modernization of the nationaleconomy.The informatization and networking of modern society are based onelectrification.In addition,with the country's attention to education and increasedinvestment,the construction of teaching buildings in various places will also increase,and the infrastructure construction of schools,especially power facilities,will posegreater challenges.The intelligent system of the teaching complex includes intelligent attendance,intelligent access control software and access control switch,lighting automaticcontroller,PM2.5 temperature and humidity monitor,illuminator,air conditioningcontrol switch,electric curtain guide rail and other classroom auxiliary controlequipment.At the same time,the continuous development of face recognitiontechnology,because of its direct friendly and non-infringement advantages,has greatdevelopment potential in the fields of security identity recognition automaticmonitoring,so this paper is committed to the research of face detection imagepreprocessing in classroom environment and face recognition algorithm design andimplementation of face recognition based classroom attendance system.Key words Intelligent teaching buildings Face recognition Featureextraction;Attendance system;目录第一章绪论...1.1选题背景及研究意义1.2国内外研究现状...11.3主要研究内容.。1第二章人脸检测方式与图像预处理32.1基于卷积神经网络的级联人脸检测32.2课堂图像预处理.........42.3课堂模糊图像处理.......42.3.1清晰度评价函数的评价标准2.3.2空域评价函数.......62.4本章小结.......7第三章卷积神经网络的设计与改进93.1卷积神经网络介绍93.2卷积神经网络结构....93.2.1卷积神经网络的优点93.3卷积神经网络的网络结构..103.4卷积神经网络的网络结构设计...123.5本章小结......13第四章课堂考勤系统的设计.·154.1考勤系统可行性及需求分析..154.1.1考勤系统可行性154.1.2需求分析....154.2考勤系统设计....174.2.1系统硬件结构设计..1842.2系统架构.…………194.3系统功能设计..194.4本章小结...20第五章总结与展望.21致谢.…....23参考文献..25附录.29