基于Python+Django深度学习的身份证识别考勤系统设计与实现

摘 要

我们的生活都是由信息技术在潜移默化的改变着，那么早先改变校园生活的是校园信息化，改变社会人生活是各种应用软件。出行我们依靠的是滴滴，外卖我们依靠的是美团等等。从信息技术的发展至今，各色各样的技术能够满足各类人群的需求，能够让各种业务行业的痛点变成能够可以由信息软件和系统的解决的一种方案，从表面上来看是方便了某一行业和某一行业的用户，其实是从本质上来说是提高了社会的进步。就拿我们常见的出行而言，滴滴出行看似是为了打车和出行的人方便，但其实通过另外一种程度上来说，可以通过软件应用的调度和发展来为社会、城市出行的发展做出巨大的贡献。我们国家从最早的中国制造业演变到现在的“智造”，就是因为有软件信息系统的价值，能够将一些智慧的因素加入到制造的过程当中，而这一点就是软件系统来改变生产和现实的需求。Python技术自从技术诞生以来，那么就是基于深度学习的一个深入技术，我们在大数据方面给予Python的支持，在深度学习方面也基于Python的支持。那么能不能将Python技术应用到我们考勤系统当中呢？考勤系统往往都是通过线下签到登记，这样的话会存在各种各样的信息不全问题。如果基于python深度学习，能够利用身份证的技术进行考勤，那将非常有意义。这次的考勤系统的实现呢是依靠JS语言来进行实现的，那么这次的后台设计主要还是以python语言为主体系，这样一来日后的升级或者需要问题时可以通过多种多样的途径来进行解决，毕竟还是开源的体系。其次，后台管理实现呢还是采用B/S的设计模式，这样的设计模式可以通过浏览器访问，不用安装任何东西。当然数据的保存等方面也是采用MYSQL来进行的。
关键字： MYSQL数据库 python语言 身份证识别 考勤系统

python fingerprint recognition attendance system based on deep learning
Abstract
Our life is being subtly changed by information technology, so what changed campus life earlier is campus information, change social life is a variety of application software. We rely on Didi for travel, Meituan for takeout and so on. Since the development of information technology, various kinds of technology can meet the needs of various groups of people, can make the pain points of various business industries can be solved by information software and systems, from the surface is convenient for a certain industry and a certain industry of users, but in essence is to improve the progress of society. As for our common travel, Didi Chuxing seems to be for the convenience of taxi drivers and travelers, but in fact, in another way, it can make great contributions to the development of social and urban travel through the scheduling and development of software applications. Our country has evolved from the earliest manufacturing industry in China to the current “intelligent manufacturing” because of the value of software information system, which can add some intelligent factors into the manufacturing process, and this is the software system to change the production and realistic needs. Python technology has been a deep technology based on deep learning since its birth. The support we give Python in big data is also based on Python support in deep learning. So can we apply Python technology to our attendance system? Attendance system is often through offline sign-in registration, so there will be a variety of incomplete information problems. If python deep learning is based on the use of fingerprint technology for attendance, it will be very meaningful. The realization of the attendance system is to rely on JS language to achieve, so the background design is mainly based on the python language system, so that the future upgrade or need problems can be solved through a variety of ways, after all, or open source system. Secondly, the background management implementation is still using the B/S design pattern, such a design pattern can be accessed through the browser, without installing anything. Of course, data preservation and other aspects are also used to carry out MYSQL.

Key words: MYSQL database python language fingerprint identification attendance system

目 录
Abstract 1
目 录 2
1 前 言 3
1.1研究背景及意义 3
1.2 研究内容以及目标 3
1.2.1研究目标 3
1.2.2研究方法 1
1.2.3研究现状 1
1.2.4研究难点和解决办法 2
1.3整体说明 3
2 相关工具及技术说明 3
2.1 B/S访问结构 3
2.2 VS Code简介 4
2.3 MySQL数据库 4
2.4 Python语言介绍 4
3 需求分析 5
3.1界面设计 5
3.2数据安全需求 5
3.3网络传输安全需求 5
3.4 系统功能需求分析 6
4 可行性分析 6
4.2 可行性分析 6
4.2.1 技术可行性 6
4.2.2 操作可行性 1
4.2.3 法律可行性 1
4 数据库设计 1
4.1 E-R图 1
4.2 系统流程设计 1
4.3 数据库设计 1
5 系统功能实现 1
5.1 系统实现 1
5.1.1登录界面 1
5.1.2 首页 0
5.1.3 新增用户 0
5.1.4 考勤管理 1
致　　谢 1
参考文献 2