├── IOT_FaceRecogition_Attendance
    ├── .idea
    │   ├── .gitignore
    │   ├── IOT人脸识别签到系统.iml
    │   ├── inspectionProfiles
    │   │   ├── Project_Default.xml
    │   │   └── profiles_settings.xml
    │   ├── misc.xml
    │   └── modules.xml
    ├── Attendance.csv
    ├── IOT人脸识别签到系统测试版V0.99说明.md
    ├── Images
    │   ├── EDC.png
    │   ├── GodFather.png
    │   └── JW.png
    ├── README.MD
    ├── icon.png
    ├── logo.png
    ├── mainwindow.py
    ├── mainwindow.spec
    ├── mainwindow.ui
    ├── mianwindow.spec
    ├── out_window.py
    ├── outputwindow.ui
    ├── resource.qrc
    └── resource_rc.py
└── README.md


/IOT_FaceRecogition_Attendance/.idea/.gitignore:
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1 | # Default ignored files
2 | /shelf/
3 | /workspace.xml
4 | # Datasource local storage ignored files
5 | /dataSources/
6 | /dataSources.local.xml
7 | # Editor-based HTTP Client requests
8 | /httpRequests/
9 | 


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/IOT_FaceRecogition_Attendance/.idea/IOT人脸识别签到系统.iml:
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1 | <?xml version="1.0" encoding="UTF-8"?>
2 | <module type="PYTHON_MODULE" version="4">
3 |   <component name="NewModuleRootManager">
4 |     <content url="file://$MODULE_DIR$" />
5 |     <orderEntry type="jdk" jdkName="Python 3.9 (Opencv)" jdkType="Python SDK" />
6 |     <orderEntry type="sourceFolder" forTests="false" />
7 |   </component>
8 | </module>


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/IOT_FaceRecogition_Attendance/.idea/inspectionProfiles/Project_Default.xml:
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 1 | <component name="InspectionProjectProfileManager">
 2 |   <profile version="1.0">
 3 |     <option name="myName" value="Project Default" />
 4 |     <inspection_tool class="PyUnresolvedReferencesInspection" enabled="true" level="WARNING" enabled_by_default="true">
 5 |       <option name="ignoredIdentifiers">
 6 |         <list>
 7 |           <option value="face_recognition" />
 8 |         </list>
 9 |       </option>
10 |     </inspection_tool>
11 |   </profile>
12 | </component>


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/IOT_FaceRecogition_Attendance/.idea/inspectionProfiles/profiles_settings.xml:
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1 | <component name="InspectionProjectProfileManager">
2 |   <settings>
3 |     <option name="USE_PROJECT_PROFILE" value="false" />
4 |     <version value="1.0" />
5 |   </settings>
6 | </component>


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/IOT_FaceRecogition_Attendance/.idea/misc.xml:
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1 | <?xml version="1.0" encoding="UTF-8"?>
2 | <project version="4">
3 |   <component name="JavaScriptSettings">
4 |     <option name="languageLevel" value="ES6" />
5 |   </component>
6 |   <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (Opencv)" project-jdk-type="Python SDK" />
7 | </project>


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/IOT_FaceRecogition_Attendance/.idea/modules.xml:
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1 | <?xml version="1.0" encoding="UTF-8"?>
2 | <project version="4">
3 |   <component name="ProjectModuleManager">
4 |     <modules>
5 |       <module fileurl="file://$PROJECT_DIR$/.idea/IOT人脸识别签到系统.iml" filepath="$PROJECT_DIR$/.idea/IOT人脸识别签到系统.iml" />
6 |     </modules>
7 |   </component>
8 | </project>


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/IOT_FaceRecogition_Attendance/Attendance.csv:
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 1 | BIGBOSS,22/04/20 04:15:23,Clock In
 2 | BIGBOSS,22/04/20 04:15:32,Clock Out
 3 | BIGBOSS,22/04/20 04:21:42,Clock In
 4 | BIGBOSS,22/04/20 04:21:51,Clock Out
 5 | 
 6 | 人脸识别签到系统测试
 7 | 
 8 | BIGBOSS,22/04/20 04:23:32,Clock In
 9 | BIGBOSS,22/04/20 04:28:42,Clock Out
10 | BIGBOSS,22/04/20 05:24:35,Clock In
11 | BIGBOSS,22/04/20 05:24:39,Clock Out
12 | BIGBOSS,22/04/20 05:25:38,Clock In
13 | BIGBOSS,22/04/20 05:25:41,Clock Out
14 | BIGBOSS,22/04/20 05:26:00,Clock In
15 | BIGBOSS,22/04/20 05:26:06,Clock Out
16 | 
17 | 人脸识别签到系统测试2：
18 | 
19 | BIGBOSS,22/04/20 05:28:10,Clock In
20 | BIGBOSS,22/04/20 05:30:52,Clock Out
21 | BIGBOSS,22/04/21 00:51:12,Clock In
22 | BIGBOSS,22/04/21 00:51:16,Clock Out
23 | BIGBOSS,22/04/21 00:57:57,Clock In
24 | BIGBOSS,22/04/21 00:58:08,Clock Out
25 | BIGBOSS,22/04/21 00:59:25,Clock In
26 | BIGBOSS,22/04/21 01:01:38,Clock Out
27 | 
28 | 测试3
29 | 
30 | GODFATHER,22/04/21 01:42:23,Clock In
31 | GODFATHER,22/04/21 01:43:13,Clock Out
32 | 


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/IOT_FaceRecogition_Attendance/IOT人脸识别签到系统测试版V0.99说明.md:
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 1 | # IOT人脸识别签到系统测试版V0.99
 2 | 
 3 | ## 使用注意事项：
 4 | 
 5 | ## 本项目集成项目运行所需的环境，并打包了EXE文件，直接运行mainwindow.exe文件即可
 6 | 
 7 | ### 1.使用中如果报错：
 8 | 
 9 | ![01](C:\Users\12294\Desktop\01.png)
10 | 
11 | **则是系统文件中face_recogition_models文件未识别到**
12 | 
13 | 将**face-model**压缩包中的文件解压到**mainwindow文件夹**中，进行**替换**
14 | 
15 | ### 2.mainwindow文件夹必须是父级目录！！！


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/IOT_FaceRecogition_Attendance/Images/EDC.png:
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https://raw.githubusercontent.com/BIGBOSS-dedsec/Python-Face-recognition-Attendance/7c7987e9102047f54ba06ba11e232e5c00dcd9b8/IOT_FaceRecogition_Attendance/Images/EDC.png


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/IOT_FaceRecogition_Attendance/Images/GodFather.png:
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https://raw.githubusercontent.com/BIGBOSS-dedsec/Python-Face-recognition-Attendance/7c7987e9102047f54ba06ba11e232e5c00dcd9b8/IOT_FaceRecogition_Attendance/Images/GodFather.png


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/IOT_FaceRecogition_Attendance/Images/JW.png:
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https://raw.githubusercontent.com/BIGBOSS-dedsec/Python-Face-recognition-Attendance/7c7987e9102047f54ba06ba11e232e5c00dcd9b8/IOT_FaceRecogition_Attendance/Images/JW.png


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/IOT_FaceRecogition_Attendance/README.MD:
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  1 | # 前言
  2 | 本项目为IOT实验室人员签到考勤设计，系统实现功能：
  3 | **1.人员人脸识别并完成签到/签退
  4 | 2.考勤时间计算
  5 | 3.保存考勤数据为CSV格式（Excel表格）**
  6 | 
  7 | *PS：本系统2D人脸识别，节约了繁琐的人脸识别训练部分，简洁快捷*
  8 | 
  9 | **该项目为测试版，正式版会加入更多的功能，持续更新中.....**
 10 | *测试版项目地址我会放到结尾*
 11 | ## 项目效果图
 12 | **系统初始化登陆界面**
 13 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/f48f7936b3ff4a5496e188c13c64dc36.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 14 | **主界面展示图：**
 15 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/c2d5b4d272ad4a7eac5ae8107dfb56e9.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 16 | **签到功能展示**
 17 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/61685dd4b9184bdb8c33379f0e52833d.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 18 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/0a2258078cc84c16b941cc4220a7aca0.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 19 | **签退功能展示**
 20 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/4cc3fd36c2584623b277994dbe1c9b1e.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 21 | **后台签到数据记录**
 22 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/f752bbde1e7b4a4bba2090f38d46ae2b.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 23 | **是否签到/退判断**
 24 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/eadfab52443c4c29b1829a653a41887f.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 25 | # 项目需要的环境
 26 | *核心环境：*
 27 | **OpenCV-Python     			 4.5.5.64**
 28 | **face_recognition					1.30
 29 | face_recognition_model   				0.3.0
 30 | dlib 								19.23.1**
 31 | 
 32 | *UI窗体界面:*
 33 | **PyQt5                        5.15.4
 34 | pyqt5-plugins                5.15.4.2.2
 35 | PyQt5-Qt5                    5.15.2
 36 | PyQt5-sip                    12.10.1
 37 | pyqt5-tools                  5.15.4.3.2**
 38 | 
 39 | ## 编译器
 40 | **Pycham 2021.1.3**
 41 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/ba2d84f8b9704abfbfa359b5bf616fea.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_18,color_FFFFFF,t_70,g_se,x_16)
 42 | 	**Python版本 3.9.12**
 43 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/3050ef31da794f1f98d32fb05a5ae651.png)
 44 | **Anaconda**
 45 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/47462d375b0a4e08a22cf33bc50b0d71.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 46 | ### 辅助开发QT-designer
 47 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/d7e826c9112f4f27b462f3a1b3e3b891.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 48 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/e9bef28e2e0241828bcd633769542490.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 49 | #### 项目配置
 50 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/b8c6fa4783d243f2b2ba4702c1ae52e3.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_19,color_FFFFFF,t_70,g_se,x_16)
 51 | 
 52 | # 代码部分
 53 | ## 核心代码
 54 | **MainWindow.py**
 55 | *UI文件加载：*
 56 | ```python
 57 | class Ui_Dialog(QDialog):
 58 |     def __init__(self):
 59 |         super(Ui_Dialog, self).__init__()
 60 |         loadUi("mainwindow.ui", self)       #加载QTUI文件
 61 | 
 62 |         self.runButton.clicked.connect(self.runSlot)
 63 | 
 64 |         self._new_window = None
 65 |         self.Videocapture_ = None
 66 | ```
 67 | *摄像头调用：*
 68 | 
 69 | ```python
 70 |     def refreshAll(self):
 71 |         print("当前调用人俩检测摄像头编号（0为笔记本内置摄像头，1为USB外置摄像头）：")
 72 |         self.Videocapture_ = "0"
 73 | ```
 74 | **OutWindow.py**
 75 | *获取当前系统时间*
 76 | ```python
 77 | class Ui_OutputDialog(QDialog):
 78 |     def __init__(self):
 79 |         super(Ui_OutputDialog, self).__init__()
 80 |         loadUi("./outputwindow.ui", self)   #加载输出窗体UI
 81 | 
 82 |         #datetime 时间模块
 83 |         now = QDate.currentDate()
 84 |         current_date = now.toString('ddd dd MMMM yyyy')  #时间格式
 85 |         current_time = datetime.datetime.now().strftime("%I:%M %p")
 86 |         self.Date_Label.setText(current_date)
 87 |         self.Time_Label.setText(current_time)
 88 | 
 89 |         self.image = None
 90 | ```
 91 | *签到时间计算*
 92 | 
 93 | ```python
 94 |     def ElapseList(self,name):
 95 |         with open('Attendance.csv', "r") as csv_file:
 96 |             csv_reader = csv.reader(csv_file, delimiter=',')
 97 |             line_count = 2
 98 | 
 99 |             Time1 = datetime.datetime.now()
100 |             Time2 = datetime.datetime.now()
101 |             for row in csv_reader:
102 |                 for field in row:
103 |                     if field in row:
104 |                         if field == 'Clock In':
105 |                             if row[0] == name:
106 |                                 Time1 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S'))
107 |                                 self.TimeList1.append(Time1)
108 |                         if field == 'Clock Out':
109 |                             if row[0] == name:
110 |                                 Time2 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S'))
111 |                                 self.TimeList2.append(Time2)
112 | ```
113 | *人脸识别部分*
114 | 
115 | ```python
116 | # 人脸识别部分
117 |         faces_cur_frame = face_recognition.face_locations(frame)
118 |         encodes_cur_frame = face_recognition.face_encodings(frame, faces_cur_frame)
119 | 
120 |         for encodeFace, faceLoc in zip(encodes_cur_frame, faces_cur_frame):
121 |             match = face_recognition.compare_faces(encode_list_known, encodeFace, tolerance=0.50)
122 |             face_dis = face_recognition.face_distance(encode_list_known, encodeFace)
123 |             name = "unknown"    #未知人脸识别为unknown
124 |             best_match_index = np.argmin(face_dis)
125 |             if match[best_match_index]:
126 |                 name = class_names[best_match_index].upper()
127 |                 y1, x2, y2, x1 = faceLoc
128 |                 cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
129 |                 cv2.rectangle(frame, (x1, y2 - 20), (x2, y2), (0, 255, 0), cv2.FILLED)
130 |                 cv2.putText(frame, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 0.5, (255, 255, 255), 1)
131 |             mark_attendance(name)
132 | 
133 |         return frame
134 | ```
135 | *签到数据保存与判断*
136 | 
137 | ```python
138 | # csv表格保存数据
139 |         def mark_attendance(name):
140 |             """
141 |             :param name: 人脸识别部分
142 |             :return:
143 |             """
144 |             if self.ClockInButton.isChecked():
145 |                 self.ClockInButton.setEnabled(False)
146 |                 with open('Attendance.csv', 'a') as f:
147 |                         if (name != 'unknown'):         #签到判断：是否为已经识别人脸
148 |                             buttonReply = QMessageBox.question(self, '欢迎 ' + name, '开始签到' ,
149 |                                                                QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
150 |                             if buttonReply == QMessageBox.Yes:
151 | 
152 |                                 date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S")
153 |                                 f.writelines(f'\n{name},{date_time_string},Clock In')
154 |                                 self.ClockInButton.setChecked(False)
155 | 
156 |                                 self.NameLabel.setText(name)
157 |                                 self.StatusLabel.setText('签到')
158 |                                 self.HoursLabel.setText('开始签到计时中')
159 |                                 self.MinLabel.setText('')
160 | 
161 |                                 self.Time1 = datetime.datetime.now()
162 |                                 self.ClockInButton.setEnabled(True)
163 |                             else:
164 |                                 print('签到操作失败')
165 |                                 self.ClockInButton.setEnabled(True)
166 |             elif self.ClockOutButton.isChecked():
167 |                 self.ClockOutButton.setEnabled(False)
168 |                 with open('Attendance.csv', 'a') as f:
169 |                         if (name != 'unknown'):
170 |                             buttonReply = QMessageBox.question(self, '嗨呀 ' + name, '确认签退?',
171 |                                                               QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
172 |                             if buttonReply == QMessageBox.Yes:
173 |                                 date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S")
174 |                                 f.writelines(f'\n{name},{date_time_string},Clock Out')
175 |                                 self.ClockOutButton.setChecked(False)
176 | 
177 |                                 self.NameLabel.setText(name)
178 |                                 self.StatusLabel.setText('签退')
179 |                                 self.Time2 = datetime.datetime.now()
180 | 
181 |                                 self.ElapseList(name)
182 |                                 self.TimeList2.append(datetime.datetime.now())
183 |                                 CheckInTime = self.TimeList1[-1]
184 |                                 CheckOutTime = self.TimeList2[-1]
185 |                                 self.ElapseHours = (CheckOutTime - CheckInTime)
186 |                                 self.MinLabel.setText("{:.0f}".format(abs(self.ElapseHours.total_seconds() / 60)%60) + 'm')
187 |                                 self.HoursLabel.setText("{:.0f}".format(abs(self.ElapseHours.total_seconds() / 60**2)) + 'h')
188 |                                 self.ClockOutButton.setEnabled(True)
189 |                             else:
190 |                                 print('签退操作失败')
191 |                                 self.ClockOutButton.setEnabled(True)
192 | ```
193 | 
194 | ### 项目目录结构
195 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/985c4a761fce457cb773e87fde0903ee.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_8,color_FFFFFF,t_70,g_se,x_16)
196 | # 后记
197 | ***因为本系统没有进行人脸训练建立模型，系统误识别率较高，安全性较低
198 | 系统优化较差，摄像头捕捉帧数较低（8-9），后台占有高，CPU利用率较高
199 | 数据保存CSV格式，安全性较低***
200 | ## 正式版改进
201 | **1.加入TensorFlow深度学习，提高系统人脸识别安全性与准确性
202 | 2.加入MySQL数据库，对签到数据进行更安全保护，不易被修改
203 | 3.美化优化UI设计**


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/IOT_FaceRecogition_Attendance/icon.png:
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https://raw.githubusercontent.com/BIGBOSS-dedsec/Python-Face-recognition-Attendance/7c7987e9102047f54ba06ba11e232e5c00dcd9b8/IOT_FaceRecogition_Attendance/icon.png


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/IOT_FaceRecogition_Attendance/logo.png:
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/IOT_FaceRecogition_Attendance/mainwindow.py:
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 1 | # Author BIGBOSS
 2 | # April 2022
 3 | # IOT人脸识别签到系统
 4 | # WX：BIGBOSSyifi
 5 | # Mail：bigbossyifi@gmail.com
 6 | # *-
 7 | 
 8 | import sys
 9 | from PyQt5.uic import loadUi
10 | from PyQt5 import QtWidgets
11 | from PyQt5.QtCore import pyqtSlot
12 | from PyQt5.QtWidgets import QApplication, QDialog
13 | import resource_rc      #加载资源文件
14 | # from model import Model
15 | from out_window import Ui_OutputDialog
16 | 
17 | 
18 | class Ui_Dialog(QDialog):
19 |     def __init__(self):
20 |         super(Ui_Dialog, self).__init__()
21 |         loadUi("mainwindow.ui", self)       #加载QTUI文件
22 | 
23 |         self.runButton.clicked.connect(self.runSlot)
24 | 
25 |         self._new_window = None
26 |         self.Videocapture_ = None
27 | 
28 |     def refreshAll(self):
29 |         print("当前调用人俩检测摄像头编号（0为笔记本内置摄像头，1为USB外置摄像头）：")
30 |         self.Videocapture_ = "0"
31 | 
32 |     @pyqtSlot()
33 |     def runSlot(self):
34 |         print("IOT人脸识别签到系统运行中...")
35 |         self.refreshAll()
36 |         print(self.Videocapture_)
37 |         ui.hide()  # UI隐藏
38 |         self.outputWindow_()  # 创建新的窗体
39 | 
40 |     def outputWindow_(self):
41 |         """
42 |         在GUI中创建人脸识别区域的窗体
43 |         """
44 |         self._new_window = Ui_OutputDialog()
45 |         self._new_window.show()
46 |         self._new_window.startVideo(self.Videocapture_)
47 |         print("人脸识别功能初始化中....")
48 |         print("人脸识别功能初始化完成！")
49 | 
50 | 
51 | if __name__ == "__main__":
52 |     app = QApplication(sys.argv)
53 |     ui = Ui_Dialog()
54 |     ui.show()
55 |     sys.exit(app.exec_())
56 | 


--------------------------------------------------------------------------------
/IOT_FaceRecogition_Attendance/mainwindow.spec:
--------------------------------------------------------------------------------
 1 | # -*- mode: python ; coding: utf-8 -*-
 2 | 
 3 | 
 4 | block_cipher = None
 5 | 
 6 | 
 7 | a = Analysis(
 8 |     ['mainwindow.py'],
 9 |     pathex=[],
10 |     binaries=[],
11 |     datas=[],
12 |     hiddenimports=[],
13 |     hookspath=[],
14 |     hooksconfig={},
15 |     runtime_hooks=[],
16 |     excludes=[],
17 |     win_no_prefer_redirects=False,
18 |     win_private_assemblies=False,
19 |     cipher=block_cipher,
20 |     noarchive=False,
21 | )
22 | pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
23 | 
24 | exe = EXE(
25 |     pyz,
26 |     a.scripts,
27 |     a.binaries,
28 |     a.zipfiles,
29 |     a.datas,
30 |     [],
31 |     name='mainwindow',
32 |     debug=False,
33 |     bootloader_ignore_signals=False,
34 |     strip=False,
35 |     upx=True,
36 |     upx_exclude=[],
37 |     runtime_tmpdir=None,
38 |     console=False,
39 |     disable_windowed_traceback=False,
40 |     argv_emulation=False,
41 |     target_arch=None,
42 |     codesign_identity=None,
43 |     entitlements_file=None,
44 | )
45 | 


--------------------------------------------------------------------------------
/IOT_FaceRecogition_Attendance/mainwindow.ui:
--------------------------------------------------------------------------------
  1 | <?xml version="1.0" encoding="UTF-8"?>
  2 | <ui version="4.0">
  3 |  <class>Dialog</class>
  4 |  <widget class="QDialog" name="Dialog">
  5 |   <property name="geometry">
  6 |    <rect>
  7 |     <x>0</x>
  8 |     <y>0</y>
  9 |     <width>800</width>
 10 |     <height>600</height>
 11 |    </rect>
 12 |   </property>
 13 |   <property name="minimumSize">
 14 |    <size>
 15 |     <width>800</width>
 16 |     <height>600</height>
 17 |    </size>
 18 |   </property>
 19 |   <property name="maximumSize">
 20 |    <size>
 21 |     <width>800</width>
 22 |     <height>600</height>
 23 |    </size>
 24 |   </property>
 25 |   <property name="windowTitle">
 26 |    <string>IOT人脸识别签到考勤系统-测试版V0.99</string>
 27 |   </property>
 28 |   <property name="windowIcon">
 29 |    <iconset resource="resource.qrc">
 30 |     <normaloff>:/icon/icon.png</normaloff>:/icon/icon.png</iconset>
 31 |   </property>
 32 |   <widget class="QWidget" name="verticalLayoutWidget">
 33 |    <property name="geometry">
 34 |     <rect>
 35 |      <x>0</x>
 36 |      <y>500</y>
 37 |      <width>801</width>
 38 |      <height>101</height>
 39 |     </rect>
 40 |    </property>
 41 |    <layout class="QVBoxLayout" name="verticalLayout">
 42 |     <item>
 43 |      <widget class="QPushButton" name="runButton">
 44 |       <property name="maximumSize">
 45 |        <size>
 46 |         <width>800</width>
 47 |         <height>600</height>
 48 |        </size>
 49 |       </property>
 50 |       <property name="font">
 51 |        <font>
 52 |         <family>黑体</family>
 53 |         <pointsize>30</pointsize>
 54 |        </font>
 55 |       </property>
 56 |       <property name="text">
 57 |        <string>IOT来电</string>
 58 |       </property>
 59 |      </widget>
 60 |     </item>
 61 |    </layout>
 62 |   </widget>
 63 |   <widget class="QWidget" name="layoutWidget">
 64 |    <property name="geometry">
 65 |     <rect>
 66 |      <x>0</x>
 67 |      <y>0</y>
 68 |      <width>886</width>
 69 |      <height>425</height>
 70 |     </rect>
 71 |    </property>
 72 |    <layout class="QHBoxLayout" name="horizontalLayout">
 73 |     <item>
 74 |      <widget class="QLabel" name="logolabel">
 75 |       <property name="maximumSize">
 76 |        <size>
 77 |         <width>884</width>
 78 |         <height>432</height>
 79 |        </size>
 80 |       </property>
 81 |       <property name="text">
 82 |        <string/>
 83 |       </property>
 84 |       <property name="pixmap">
 85 |        <pixmap resource="resource.qrc">:/logo/logo.png</pixmap>
 86 |       </property>
 87 |      </widget>
 88 |     </item>
 89 |    </layout>
 90 |   </widget>
 91 |   <widget class="QLabel" name="filelabel">
 92 |    <property name="geometry">
 93 |     <rect>
 94 |      <x>230</x>
 95 |      <y>440</y>
 96 |      <width>331</width>
 97 |      <height>61</height>
 98 |     </rect>
 99 |    </property>
100 |    <property name="maximumSize">
101 |     <size>
102 |      <width>600</width>
103 |      <height>800</height>
104 |     </size>
105 |    </property>
106 |    <property name="font">
107 |     <font>
108 |      <family>Roboto Condensed</family>
109 |      <pointsize>14</pointsize>
110 |      <weight>75</weight>
111 |      <bold>true</bold>
112 |     </font>
113 |    </property>
114 |    <property name="text">
115 |     <string>IOT人脸识别签到系统—测试版V0.98</string>
116 |    </property>
117 |   </widget>
118 |  </widget>
119 |  <resources>
120 |   <include location="resource.qrc"/>
121 |  </resources>
122 |  <connections/>
123 | </ui>
124 | 


--------------------------------------------------------------------------------
/IOT_FaceRecogition_Attendance/mianwindow.spec:
--------------------------------------------------------------------------------
 1 | # -*- mode: python ; coding: utf-8 -*-
 2 | 
 3 | 
 4 | block_cipher = None
 5 | 
 6 | 
 7 | a = Analysis(
 8 |     ['mianwindow.py'],
 9 |     pathex=[],
10 |     binaries=[],
11 |     datas=[],
12 |     hiddenimports=[],
13 |     hookspath=[],
14 |     hooksconfig={},
15 |     runtime_hooks=[],
16 |     excludes=[],
17 |     win_no_prefer_redirects=False,
18 |     win_private_assemblies=False,
19 |     cipher=block_cipher,
20 |     noarchive=False,
21 | )
22 | pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
23 | 
24 | exe = EXE(
25 |     pyz,
26 |     a.scripts,
27 |     a.binaries,
28 |     a.zipfiles,
29 |     a.datas,
30 |     [],
31 |     name='mianwindow',
32 |     debug=False,
33 |     bootloader_ignore_signals=False,
34 |     strip=False,
35 |     upx=True,
36 |     upx_exclude=[],
37 |     runtime_tmpdir=None,
38 |     console=False,
39 |     disable_windowed_traceback=False,
40 |     argv_emulation=False,
41 |     target_arch=None,
42 |     codesign_identity=None,
43 |     entitlements_file=None,
44 | )
45 | 


--------------------------------------------------------------------------------
/IOT_FaceRecogition_Attendance/out_window.py:
--------------------------------------------------------------------------------
  1 | # Author BIGBOSS
  2 | # April 2022
  3 | # IOT人脸识别签到系统
  4 | # WX：BIGBOSSyifi
  5 | # Mail：bigbossyifi@gmail.com
  6 | # *-
  7 | 
  8 | from PyQt5.QtGui import QImage, QPixmap
  9 | from PyQt5.uic import loadUi
 10 | from PyQt5.QtCore import pyqtSlot, QTimer, QDate, Qt
 11 | from PyQt5.QtWidgets import QDialog,QMessageBox
 12 | import cv2
 13 | import face_recognition
 14 | import numpy as np
 15 | import datetime
 16 | import os
 17 | import csv
 18 | 
 19 | class Ui_OutputDialog(QDialog):
 20 |     def __init__(self):
 21 |         super(Ui_OutputDialog, self).__init__()
 22 |         loadUi("./outputwindow.ui", self)   #加载输出窗体UI
 23 | 
 24 |         #datetime 时间模块
 25 |         now = QDate.currentDate()
 26 |         current_date = now.toString('ddd dd MMMM yyyy')  #时间格式
 27 |         current_time = datetime.datetime.now().strftime("%I:%M %p")
 28 |         self.Date_Label.setText(current_date)
 29 |         self.Time_Label.setText(current_time)
 30 | 
 31 |         self.image = None
 32 | 
 33 |     @pyqtSlot()
 34 |     def startVideo(self, camera_name):
 35 |         """
 36 |         :param camera_name: 摄像头或usb摄像头的链接
 37 |         :return:
 38 |         """
 39 |         if len(camera_name) == 1:
 40 |         	self.capture = cv2.VideoCapture(int(camera_name))
 41 |         else:
 42 |         	self.capture = cv2.VideoCapture(camera_name)
 43 |         self.timer = QTimer(self)  # 创建 Timer
 44 |         path = 'Images'     #读取人脸识别图片的路径
 45 |         if not os.path.exists(path):
 46 |             os.mkdir(path)
 47 |         # 路径下人脸编码和人脸名称列表
 48 |         images = []
 49 |         self.class_names = []
 50 |         self.encode_list = []
 51 |         self.TimeList1 = []
 52 |         self.TimeList2 = []
 53 |         attendance_list = os.listdir(path)
 54 | 
 55 |         for cl in attendance_list:
 56 |             cur_img = cv2.imread(f'{path}/{cl}')
 57 |             images.append(cur_img)
 58 |             self.class_names.append(os.path.splitext(cl)[0])
 59 |         for img in images:
 60 |             img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
 61 |             boxes = face_recognition.face_locations(img)
 62 |             encodes_cur_frame = face_recognition.face_encodings(img, boxes)[0]
 63 |             self.encode_list.append(encodes_cur_frame)
 64 |         self.timer.timeout.connect(self.update_frame)  # 超时连接输出
 65 |         self.timer.start(10)
 66 | 
 67 |     def face_rec_(self, frame, encode_list_known, class_names):
 68 |         """
 69 |         :param frame: 摄像头捕捉
 70 |         :param encode_list_known: 已录入的人脸编码
 71 |         :param class_names: 已录入的人脸姓名
 72 |         :return:
 73 |         """
 74 |         # csv表格保存数据
 75 |         def mark_attendance(name):
 76 |             """
 77 |             :param name: 人脸识别部分
 78 |             :return:
 79 |             """
 80 |             if self.ClockInButton.isChecked():
 81 |                 self.ClockInButton.setEnabled(False)
 82 |                 with open('Attendance.csv', 'a') as f:
 83 |                         if (name != 'unknown'):         #签到判断：是否为已经识别人脸
 84 |                             buttonReply = QMessageBox.question(self, '欢迎 ' + name, '开始签到' ,
 85 |                                                                QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
 86 |                             if buttonReply == QMessageBox.Yes:
 87 | 
 88 |                                 date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S")
 89 |                                 f.writelines(f'\n{name},{date_time_string},Clock In')
 90 |                                 self.ClockInButton.setChecked(False)
 91 | 
 92 |                                 self.NameLabel.setText(name)
 93 |                                 self.StatusLabel.setText('签到')
 94 |                                 self.HoursLabel.setText('开始签到计时中')
 95 |                                 self.MinLabel.setText('')
 96 | 
 97 |                                 self.Time1 = datetime.datetime.now()
 98 |                                 self.ClockInButton.setEnabled(True)
 99 |                             else:
100 |                                 print('签到操作失败')
101 |                                 self.ClockInButton.setEnabled(True)
102 |             elif self.ClockOutButton.isChecked():
103 |                 self.ClockOutButton.setEnabled(False)
104 |                 with open('Attendance.csv', 'a') as f:
105 |                         if (name != 'unknown'):
106 |                             buttonReply = QMessageBox.question(self, '嗨呀 ' + name, '确认签退?',
107 |                                                               QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
108 |                             if buttonReply == QMessageBox.Yes:
109 |                                 date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S")
110 |                                 f.writelines(f'\n{name},{date_time_string},Clock Out')
111 |                                 self.ClockOutButton.setChecked(False)
112 | 
113 |                                 self.NameLabel.setText(name)
114 |                                 self.StatusLabel.setText('签退')
115 |                                 self.Time2 = datetime.datetime.now()
116 | 
117 |                                 self.ElapseList(name)
118 |                                 self.TimeList2.append(datetime.datetime.now())
119 |                                 CheckInTime = self.TimeList1[-1]
120 |                                 CheckOutTime = self.TimeList2[-1]
121 |                                 self.ElapseHours = (CheckOutTime - CheckInTime)
122 |                                 self.MinLabel.setText("{:.0f}".format(abs(self.ElapseHours.total_seconds() / 60)%60) + 'm')
123 |                                 self.HoursLabel.setText("{:.0f}".format(abs(self.ElapseHours.total_seconds() / 60**2)) + 'h')
124 |                                 self.ClockOutButton.setEnabled(True)
125 |                             else:
126 |                                 print('签退操作失败')
127 |                                 self.ClockOutButton.setEnabled(True)
128 | 
129 |         # 人脸识别部分
130 |         faces_cur_frame = face_recognition.face_locations(frame)
131 |         encodes_cur_frame = face_recognition.face_encodings(frame, faces_cur_frame)
132 | 
133 |         for encodeFace, faceLoc in zip(encodes_cur_frame, faces_cur_frame):
134 |             match = face_recognition.compare_faces(encode_list_known, encodeFace, tolerance=0.50)
135 |             face_dis = face_recognition.face_distance(encode_list_known, encodeFace)
136 |             name = "unknown"    #未知人脸识别为unknown
137 |             best_match_index = np.argmin(face_dis)
138 |             if match[best_match_index]:
139 |                 name = class_names[best_match_index].upper()
140 |                 y1, x2, y2, x1 = faceLoc
141 |                 cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
142 |                 cv2.rectangle(frame, (x1, y2 - 20), (x2, y2), (0, 255, 0), cv2.FILLED)
143 |                 cv2.putText(frame, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 0.5, (255, 255, 255), 1)
144 |             mark_attendance(name)
145 | 
146 |         return frame
147 | 
148 |     def showdialog(self):
149 |         msg = QMessageBox()
150 |         msg.setIcon(QMessageBox.Information)
151 | 
152 |         msg.setText("提示")
153 |         msg.setInformativeText("消息附加")
154 |         msg.setWindowTitle("消息提示")
155 |         msg.setDetailedText("内容如下:")
156 |         msg.setStandardButtons(QMessageBox.Ok | QMessageBox.Cancel)
157 | 
158 | 
159 |     def ElapseList(self,name):
160 |         with open('Attendance.csv', "r") as csv_file:
161 |             csv_reader = csv.reader(csv_file, delimiter=',')
162 |             line_count = 2
163 | 
164 |             Time1 = datetime.datetime.now()
165 |             Time2 = datetime.datetime.now()
166 |             for row in csv_reader:
167 |                 for field in row:
168 |                     if field in row:
169 |                         if field == 'Clock In':
170 |                             if row[0] == name:
171 |                                 Time1 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S'))
172 |                                 self.TimeList1.append(Time1)
173 |                         if field == 'Clock Out':
174 |                             if row[0] == name:
175 |                                 Time2 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S'))
176 |                                 self.TimeList2.append(Time2)
177 | 
178 |     def update_frame(self):
179 |         ret, self.image = self.capture.read()
180 |         self.displayImage(self.image, self.encode_list, self.class_names, 1)
181 | 
182 |     def displayImage(self, image, encode_list, class_names, window=1):
183 |         """
184 |         :param image: 从摄像头捕捉的图像
185 |         :param encode_list: 已识别人脸识别编码
186 |         :param class_names: 已识别人脸人员姓名
187 |         :param window: 窗体
188 |         :return:
189 |         """
190 |         image = cv2.resize(image, (640, 480))   #定义识别区域大小
191 |         try:
192 |             image = self.face_rec_(image, encode_list, class_names)
193 |         except Exception as e:
194 |             print(e)
195 |         qformat = QImage.Format_Indexed8
196 |         if len(image.shape) == 3:
197 |             if image.shape[2] == 4:
198 |                 qformat = QImage.Format_RGBA8888
199 |             else:
200 |                 qformat = QImage.Format_RGB888
201 |         outImage = QImage(image, image.shape[1], image.shape[0], image.strides[0], qformat)
202 |         outImage = outImage.rgbSwapped()
203 | 
204 |         if window == 1:
205 |             self.imgLabel.setPixmap(QPixmap.fromImage(outImage))
206 |             self.imgLabel.setScaledContents(True)
207 | 


--------------------------------------------------------------------------------
/IOT_FaceRecogition_Attendance/outputwindow.ui:
--------------------------------------------------------------------------------
  1 | <?xml version="1.0" encoding="UTF-8"?>
  2 | <ui version="4.0">
  3 |  <class>OutputDialog</class>
  4 |  <widget class="QDialog" name="OutputDialog">
  5 |   <property name="geometry">
  6 |    <rect>
  7 |     <x>0</x>
  8 |     <y>0</y>
  9 |     <width>951</width>
 10 |     <height>591</height>
 11 |    </rect>
 12 |   </property>
 13 |   <property name="minimumSize">
 14 |    <size>
 15 |     <width>0</width>
 16 |     <height>0</height>
 17 |    </size>
 18 |   </property>
 19 |   <property name="maximumSize">
 20 |    <size>
 21 |     <width>1280</width>
 22 |     <height>720</height>
 23 |    </size>
 24 |   </property>
 25 |   <property name="font">
 26 |    <font>
 27 |     <family>Calibri</family>
 28 |     <weight>75</weight>
 29 |     <bold>true</bold>
 30 |    </font>
 31 |   </property>
 32 |   <property name="windowTitle">
 33 |    <string>IOT人脸识别签到系统测试版V0.99</string>
 34 |   </property>
 35 |   <property name="windowIcon">
 36 |    <iconset resource="resource.qrc">
 37 |     <normaloff>:/icon/icon.png</normaloff>:/icon/icon.png</iconset>
 38 |   </property>
 39 |   <widget class="QLabel" name="imgLabel">
 40 |    <property name="geometry">
 41 |     <rect>
 42 |      <x>10</x>
 43 |      <y>10</y>
 44 |      <width>640</width>
 45 |      <height>480</height>
 46 |     </rect>
 47 |    </property>
 48 |    <property name="minimumSize">
 49 |     <size>
 50 |      <width>4</width>
 51 |      <height>0</height>
 52 |     </size>
 53 |    </property>
 54 |    <property name="maximumSize">
 55 |     <size>
 56 |      <width>640</width>
 57 |      <height>480</height>
 58 |     </size>
 59 |    </property>
 60 |    <property name="text">
 61 |     <string/>
 62 |    </property>
 63 |   </widget>
 64 |   <widget class="QWidget" name="horizontalLayoutWidget">
 65 |    <property name="geometry">
 66 |     <rect>
 67 |      <x>10</x>
 68 |      <y>500</y>
 69 |      <width>641</width>
 70 |      <height>80</height>
 71 |     </rect>
 72 |    </property>
 73 |    <layout class="QHBoxLayout" name="horizontalLayout">
 74 |     <item>
 75 |      <widget class="QPushButton" name="ClockInButton">
 76 |       <property name="maximumSize">
 77 |        <size>
 78 |         <width>400</width>
 79 |         <height>600</height>
 80 |        </size>
 81 |       </property>
 82 |       <property name="font">
 83 |        <font>
 84 |         <family>Roboto Condensed Light</family>
 85 |         <pointsize>30</pointsize>
 86 |         <weight>75</weight>
 87 |         <bold>true</bold>
 88 |        </font>
 89 |       </property>
 90 |       <property name="text">
 91 |        <string>签到</string>
 92 |       </property>
 93 |       <property name="checkable">
 94 |        <bool>true</bool>
 95 |       </property>
 96 |       <property name="autoRepeatInterval">
 97 |        <number>100</number>
 98 |       </property>
 99 |      </widget>
100 |     </item>
101 |     <item>
102 |      <widget class="QPushButton" name="ClockOutButton">
103 |       <property name="maximumSize">
104 |        <size>
105 |         <width>400</width>
106 |         <height>600</height>
107 |        </size>
108 |       </property>
109 |       <property name="font">
110 |        <font>
111 |         <family>Roboto Condensed Light</family>
112 |         <pointsize>30</pointsize>
113 |         <weight>75</weight>
114 |         <bold>true</bold>
115 |        </font>
116 |       </property>
117 |       <property name="text">
118 |        <string>签退</string>
119 |       </property>
120 |       <property name="checkable">
121 |        <bool>true</bool>
122 |       </property>
123 |      </widget>
124 |     </item>
125 |    </layout>
126 |   </widget>
127 |   <widget class="QWidget" name="gridLayoutWidget">
128 |    <property name="geometry">
129 |     <rect>
130 |      <x>660</x>
131 |      <y>40</y>
132 |      <width>281</width>
133 |      <height>121</height>
134 |     </rect>
135 |    </property>
136 |    <layout class="QGridLayout" name="gridLayout_2">
137 |     <item row="1" column="1">
138 |      <widget class="QLabel" name="Time_Label">
139 |       <property name="font">
140 |        <font>
141 |         <family>Roboto Condensed Light</family>
142 |         <pointsize>15</pointsize>
143 |         <weight>75</weight>
144 |         <bold>true</bold>
145 |        </font>
146 |       </property>
147 |       <property name="text">
148 |        <string>-</string>
149 |       </property>
150 |      </widget>
151 |     </item>
152 |     <item row="0" column="1">
153 |      <widget class="QLabel" name="Date_Label">
154 |       <property name="font">
155 |        <font>
156 |         <family>Roboto Condensed Light</family>
157 |         <pointsize>15</pointsize>
158 |         <weight>75</weight>
159 |         <bold>true</bold>
160 |        </font>
161 |       </property>
162 |       <property name="text">
163 |        <string>-</string>
164 |       </property>
165 |      </widget>
166 |     </item>
167 |     <item row="0" column="0">
168 |      <widget class="QLabel" name="label">
169 |       <property name="font">
170 |        <font>
171 |         <family>Roboto Condensed Light</family>
172 |         <pointsize>16</pointsize>
173 |         <weight>75</weight>
174 |         <bold>true</bold>
175 |        </font>
176 |       </property>
177 |       <property name="text">
178 |        <string>日期 :</string>
179 |       </property>
180 |      </widget>
181 |     </item>
182 |     <item row="1" column="0">
183 |      <widget class="QLabel" name="label_2">
184 |       <property name="font">
185 |        <font>
186 |         <family>Roboto Condensed Light</family>
187 |         <pointsize>16</pointsize>
188 |         <weight>75</weight>
189 |         <bold>true</bold>
190 |        </font>
191 |       </property>
192 |       <property name="text">
193 |        <string>时间 :</string>
194 |       </property>
195 |      </widget>
196 |     </item>
197 |    </layout>
198 |   </widget>
199 |   <widget class="QGroupBox" name="groupBox">
200 |    <property name="geometry">
201 |     <rect>
202 |      <x>660</x>
203 |      <y>200</y>
204 |      <width>271</width>
205 |      <height>291</height>
206 |     </rect>
207 |    </property>
208 |    <property name="title">
209 |     <string>签到详细</string>
210 |    </property>
211 |    <widget class="QWidget" name="verticalLayoutWidget">
212 |     <property name="geometry">
213 |      <rect>
214 |       <x>30</x>
215 |       <y>30</y>
216 |       <width>110</width>
217 |       <height>211</height>
218 |      </rect>
219 |     </property>
220 |     <layout class="QVBoxLayout" name="verticalLayout">
221 |      <item>
222 |       <widget class="QLabel" name="label_3">
223 |        <property name="font">
224 |         <font>
225 |          <family>Roboto Condensed Light</family>
226 |          <pointsize>12</pointsize>
227 |          <weight>50</weight>
228 |          <bold>false</bold>
229 |         </font>
230 |        </property>
231 |        <property name="text">
232 |         <string>姓名 : </string>
233 |        </property>
234 |       </widget>
235 |      </item>
236 |      <item>
237 |       <widget class="QLabel" name="label_4">
238 |        <property name="font">
239 |         <font>
240 |          <family>Roboto Condensed Light</family>
241 |          <pointsize>12</pointsize>
242 |          <weight>50</weight>
243 |          <bold>false</bold>
244 |         </font>
245 |        </property>
246 |        <property name="text">
247 |         <string>状态 :</string>
248 |        </property>
249 |       </widget>
250 |      </item>
251 |      <item>
252 |       <widget class="QLabel" name="label_5">
253 |        <property name="font">
254 |         <font>
255 |          <family>Roboto Condensed Light</family>
256 |          <pointsize>12</pointsize>
257 |          <weight>50</weight>
258 |          <bold>false</bold>
259 |         </font>
260 |        </property>
261 |        <property name="text">
262 |         <string>时间 : </string>
263 |        </property>
264 |       </widget>
265 |      </item>
266 |     </layout>
267 |    </widget>
268 |    <widget class="QWidget" name="verticalLayoutWidget_2">
269 |     <property name="geometry">
270 |      <rect>
271 |       <x>120</x>
272 |       <y>30</y>
273 |       <width>131</width>
274 |       <height>211</height>
275 |      </rect>
276 |     </property>
277 |     <layout class="QVBoxLayout" name="verticalLayout_2">
278 |      <item>
279 |       <widget class="QLabel" name="NameLabel">
280 |        <property name="font">
281 |         <font>
282 |          <family>Roboto Condensed Light</family>
283 |          <pointsize>12</pointsize>
284 |          <weight>50</weight>
285 |          <bold>false</bold>
286 |         </font>
287 |        </property>
288 |        <property name="text">
289 |         <string/>
290 |        </property>
291 |       </widget>
292 |      </item>
293 |      <item>
294 |       <widget class="QLabel" name="StatusLabel">
295 |        <property name="font">
296 |         <font>
297 |          <family>Roboto Condensed Light</family>
298 |          <pointsize>12</pointsize>
299 |          <weight>50</weight>
300 |          <bold>false</bold>
301 |         </font>
302 |        </property>
303 |        <property name="text">
304 |         <string/>
305 |        </property>
306 |       </widget>
307 |      </item>
308 |      <item>
309 |       <layout class="QHBoxLayout" name="horizontalLayout_2">
310 |        <item>
311 |         <widget class="QLabel" name="HoursLabel">
312 |          <property name="font">
313 |           <font>
314 |            <family>Roboto Condensed Light</family>
315 |            <pointsize>12</pointsize>
316 |            <weight>50</weight>
317 |            <bold>false</bold>
318 |           </font>
319 |          </property>
320 |          <property name="text">
321 |           <string/>
322 |          </property>
323 |         </widget>
324 |        </item>
325 |        <item>
326 |         <widget class="QLabel" name="MinLabel">
327 |          <property name="font">
328 |           <font>
329 |            <family>Roboto Condensed Light</family>
330 |            <pointsize>12</pointsize>
331 |            <weight>50</weight>
332 |            <bold>false</bold>
333 |           </font>
334 |          </property>
335 |          <property name="text">
336 |           <string/>
337 |          </property>
338 |         </widget>
339 |        </item>
340 |       </layout>
341 |      </item>
342 |     </layout>
343 |    </widget>
344 |   </widget>
345 |  </widget>
346 |  <resources>
347 |   <include location="resource.qrc"/>
348 |  </resources>
349 |  <connections/>
350 | </ui>
351 | 


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/IOT_FaceRecogition_Attendance/resource.qrc:
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1 | <RCC>
2 |   <qresource prefix="logo">
3 |     <file>logo.png</file>
4 |   </qresource>
5 |   <qresource prefix="icon">
6 |     <file>icon.png</file>
7 |   </qresource>
8 | </RCC>
9 | 


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/README.md:
--------------------------------------------------------------------------------
  1 | # Introduction
  2 | 
  3 | This project is designed for IOT laboratory personnel check-in and attendance, and the system implements the following functions:
  4 | **1. Personnel face recognition and complete check-in/check-out
  5 | 2. Calculation of attendance time
  6 | 3. Save the attendance data in CSV format (Excel) **
  7 | 
  8 | PS: This system 2D face recognition, saving the tedious face recognition training part, simple and fast
  9 | 
 10 | This project is a beta version, the official version will add more features, continue to update.....
 11 | I'll put the beta project address at the end
 12 | 
 13 | ## Project renderings
 14 | 
 15 | **System initialization login interface**
 16 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/f48f7936b3ff4a5496e188c13c64dc36.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 17 | **Main interface display picture:**
 18 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/c2d5b4d272ad4a7eac5ae8107dfb56e9.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 19 | **Sign in function display **
 20 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/61685dd4b9184bdb8c33379f0e52833d.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 21 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/0a2258078cc84c16b941cc4220a7aca0.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 22 | **Sign out function display**
 23 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/4cc3fd36c2584623b277994dbe1c9b1e.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 24 | **Background check-in data recording**
 25 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/f752bbde1e7b4a4bba2090f38d46ae2b.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 26 | **Check in/check out**
 27 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/eadfab52443c4c29b1829a653a41887f.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 28 | 
 29 | # The environment required for the project
 30 | 
 31 | **OpenCV-Python     			 4.5.5.64**
 32 | **face_recognition					1.30
 33 | face_recognition_model   				0.3.0
 34 | dlib 								19.23.1**
 35 | 
 36 | 
 37 | **PyQt5                        5.15.4
 38 | pyqt5-plugins                5.15.4.2.2
 39 | PyQt5-Qt5                    5.15.2
 40 | PyQt5-sip                    12.10.1
 41 | pyqt5-tools                  5.15.4.3.2**
 42 | 
 43 | ```
 44 | **PythonVersion 3.9.12**
 45 | ```
 46 | ### QT-designer
 47 | 
 48 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/d7e826c9112f4f27b462f3a1b3e3b891.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 49 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/e9bef28e2e0241828bcd633769542490.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_20,color_FFFFFF,t_70,g_se,x_16)
 50 | 
 51 | 
 52 | # Code
 53 | 
 54 | ## CoreCode
 55 | 
 56 | **MainWindow.py**
 57 | *UI File：*
 58 | 
 59 | ```python
 60 | class Ui_Dialog(QDialog):
 61 |     def __init__(self):
 62 |         super(Ui_Dialog, self).__init__()
 63 |         loadUi("mainwindow.ui", self)       #加载QTUI文件
 64 | 
 65 |         self.runButton.clicked.connect(self.runSlot)
 66 | 
 67 |         self._new_window = None
 68 |         self.Videocapture_ = None
 69 | ```
 70 | 
 71 | *Camera：*
 72 | 
 73 | ```python
 74 |     def refreshAll(self):
 75 |         print("当前调用人俩检测摄像头编号（0为笔记本内置摄像头，1为USB外置摄像头）：")
 76 |         self.Videocapture_ = "0"
 77 | ```
 78 | 
 79 | **OutWindow.py**
 80 | *request Time*
 81 | 
 82 | ```python
 83 | class Ui_OutputDialog(QDialog):
 84 |     def __init__(self):
 85 |         super(Ui_OutputDialog, self).__init__()
 86 |         loadUi("./outputwindow.ui", self)   #加载输出窗体UI
 87 | 
 88 |         #datetime 时间模块
 89 |         now = QDate.currentDate()
 90 |         current_date = now.toString('ddd dd MMMM yyyy')  #时间格式
 91 |         current_time = datetime.datetime.now().strftime("%I:%M %p")
 92 |         self.Date_Label.setText(current_date)
 93 |         self.Time_Label.setText(current_time)
 94 | 
 95 |         self.image = None
 96 | ```
 97 | 
 98 | *Check in time*
 99 | 
100 | ```python
101 |     def ElapseList(self,name):
102 |         with open('Attendance.csv', "r") as csv_file:
103 |             csv_reader = csv.reader(csv_file, delimiter=',')
104 |             line_count = 2
105 | 
106 |             Time1 = datetime.datetime.now()
107 |             Time2 = datetime.datetime.now()
108 |             for row in csv_reader:
109 |                 for field in row:
110 |                     if field in row:
111 |                         if field == 'Clock In':
112 |                             if row[0] == name:
113 |                                 Time1 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S'))
114 |                                 self.TimeList1.append(Time1)
115 |                         if field == 'Clock Out':
116 |                             if row[0] == name:
117 |                                 Time2 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S'))
118 |                                 self.TimeList2.append(Time2)
119 | ```
120 | 
121 | *FaceRecognition*
122 | 
123 | ```python
124 | # 人脸识别部分
125 |         faces_cur_frame = face_recognition.face_locations(frame)
126 |         encodes_cur_frame = face_recognition.face_encodings(frame, faces_cur_frame)
127 | 
128 |         for encodeFace, faceLoc in zip(encodes_cur_frame, faces_cur_frame):
129 |             match = face_recognition.compare_faces(encode_list_known, encodeFace, tolerance=0.50)
130 |             face_dis = face_recognition.face_distance(encode_list_known, encodeFace)
131 |             name = "unknown"    #未知人脸识别为unknown
132 |             best_match_index = np.argmin(face_dis)
133 |             if match[best_match_index]:
134 |                 name = class_names[best_match_index].upper()
135 |                 y1, x2, y2, x1 = faceLoc
136 |                 cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
137 |                 cv2.rectangle(frame, (x1, y2 - 20), (x2, y2), (0, 255, 0), cv2.FILLED)
138 |                 cv2.putText(frame, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 0.5, (255, 255, 255), 1)
139 |             mark_attendance(name)
140 | 
141 |         return frame
142 | ```
143 | 
144 | *CheckData*
145 | 
146 | ```python
147 | # csv表格保存数据
148 |         def mark_attendance(name):
149 |             """
150 |             :param name: 人脸识别部分
151 |             :return:
152 |             """
153 |             if self.ClockInButton.isChecked():
154 |                 self.ClockInButton.setEnabled(False)
155 |                 with open('Attendance.csv', 'a') as f:
156 |                         if (name != 'unknown'):         #签到判断：是否为已经识别人脸
157 |                             buttonReply = QMessageBox.question(self, '欢迎 ' + name, '开始签到' ,
158 |                                                                QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
159 |                             if buttonReply == QMessageBox.Yes:
160 | 
161 |                                 date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S")
162 |                                 f.writelines(f'\n{name},{date_time_string},Clock In')
163 |                                 self.ClockInButton.setChecked(False)
164 | 
165 |                                 self.NameLabel.setText(name)
166 |                                 self.StatusLabel.setText('签到')
167 |                                 self.HoursLabel.setText('开始签到计时中')
168 |                                 self.MinLabel.setText('')
169 | 
170 |                                 self.Time1 = datetime.datetime.now()
171 |                                 self.ClockInButton.setEnabled(True)
172 |                             else:
173 |                                 print('签到操作失败')
174 |                                 self.ClockInButton.setEnabled(True)
175 |             elif self.ClockOutButton.isChecked():
176 |                 self.ClockOutButton.setEnabled(False)
177 |                 with open('Attendance.csv', 'a') as f:
178 |                         if (name != 'unknown'):
179 |                             buttonReply = QMessageBox.question(self, '嗨呀 ' + name, '确认签退?',
180 |                                                               QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
181 |                             if buttonReply == QMessageBox.Yes:
182 |                                 date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S")
183 |                                 f.writelines(f'\n{name},{date_time_string},Clock Out')
184 |                                 self.ClockOutButton.setChecked(False)
185 | 
186 |                                 self.NameLabel.setText(name)
187 |                                 self.StatusLabel.setText('签退')
188 |                                 self.Time2 = datetime.datetime.now()
189 | 
190 |                                 self.ElapseList(name)
191 |                                 self.TimeList2.append(datetime.datetime.now())
192 |                                 CheckInTime = self.TimeList1[-1]
193 |                                 CheckOutTime = self.TimeList2[-1]
194 |                                 self.ElapseHours = (CheckOutTime - CheckInTime)
195 |                                 self.MinLabel.setText("{:.0f}".format(abs(self.ElapseHours.total_seconds() / 60)%60) + 'm')
196 |                                 self.HoursLabel.setText("{:.0f}".format(abs(self.ElapseHours.total_seconds() / 60**2)) + 'h')
197 |                                 self.ClockOutButton.setEnabled(True)
198 |                             else:
199 |                                 print('签退操作失败')
200 |                                 self.ClockOutButton.setEnabled(True)
201 | ```
202 | 
203 | ### Project directory structure
204 | 
205 | ![在这里插入图片描述](https://img-blog.csdnimg.cn/985c4a761fce457cb773e87fde0903ee.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBAQklHQk9TU3lpZmk=,size_8,color_FFFFFF,t_70,g_se,x_16)
206 | 
207 | # At Last
208 | 
209 | ***Because there is no face training model in this system, the system misrecognition rate is high and the security is low
210 | The system optimization is poor, the camera captures a low number of frames (8-9), the background occupies a high, and the CPU utilization is high
211 | Data is saved in CSV format, which has low security***
212 | 
213 | 


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