大家好，今天本文给大家利用Python+OpenCV 人脸识别签到考勤系统。

系统实现功能：

• 1.人员人脸识别并完成签到/签退
• 2.考勤时间计算
• 3.保存考勤数据为CSV格式

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，

项目效果图

系统初始化登陆界面

主界面展示图：

签到功能展示

签退功能展示

后台签到数据记录

是否签到/退判断

项目需要的环境

核心环境：

OpenCV-Python 4.5.5.64

face_recognition 1.30
face_recognition_model 0.3.0
dlib 19.23.1

UI窗体界面:

PyQt5 5.15.4
pyqt5-plugins 5.15.4.2.2
PyQt5-Qt5 5.15.2
PyQt5-sip 12.10.1
pyqt5-tools 5.15.4.3.2

编译器

Pycham 2021.1.3

Python版本 3.9.12

Anaconda

辅助开发QT-designer

项目配置

代码部分

核心代码

MainWindow.py

UI文件加载：

class Ui_Dialog(QDialog):
    def __init__(self):
        super(Ui_Dialog, self).__init__()
        loadUi("mainwindow.ui", self)       

        self.runButton.clicked.connect(self.runSlot)

        self._new_window = None
        self.Videocapture_ = None

摄像头调用：

def refreshAll(self):
        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）：")
        self.Videocapture_ = "0"

OutWindow.py

获取当前系统时间

class Ui_OutputDialog(QDialog):
    def __init__(self):
        super(Ui_OutputDialog, self).__init__()
        loadUi("./outputwindow.ui", self)   

        
        now = QDate.currentDate()
        current_date = now.toString('ddd dd MMMM yyyy')  
        current_time = datetime.datetime.now().strftime("%I:%M %p")
        self.Date_Label.setText(current_date)
        self.Time_Label.setText(current_time)

        self.image = None

签到时间计算

def ElapseList(self,name):
        with open('Attendance.csv', "r") as csv_file:
            csv_reader = csv.reader(csv_file, delimiter=',')
            line_count = 2

            Time1 = datetime.datetime.now()
            Time2 = datetime.datetime.now()
            for row in csv_reader:
                for field in row:
                    if field in row:
                        if field == 'Clock In':
                            if row[0] == name:
                                Time1 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S'))
                                self.TimeList1.append(Time1)
                        if field == 'Clock Out':
                            if row[0] == name:
                                Time2 = (datetime.datetime.strptime(row[1], '%y/%m/%d %H:%M:%S'))
                                self.TimeList2.append(Time2)

人脸识别部分

faces_cur_frame = face_recognition.face_locations(frame)
        encodes_cur_frame = face_recognition.face_encodings(frame, faces_cur_frame)

        for encodeFace, faceLoc in zip(encodes_cur_frame, faces_cur_frame):
            match = face_recognition.compare_faces(encode_list_known, encodeFace, tolerance=0.50)
            face_dis = face_recognition.face_distance(encode_list_known, encodeFace)
            name = "unknown"    
            best_match_index = np.argmin(face_dis)
            if match[best_match_index]:
                name = class_names[best_match_index].upper()
                y1, x2, y2, x1 = faceLoc
                cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
                cv2.rectangle(frame, (x1, y2 - 20), (x2, y2), (0, 255, 0), cv2.FILLED)
                cv2.putText(frame, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 0.5, (255, 255, 255), 1)
            mark_attendance(name)

        return frame

签到数据保存与判断

def mark_attendance(name):
            """
            :param name: 人脸识别部分
            :return:
            """
            if self.ClockInButton.isChecked():
                self.ClockInButton.setEnabled(False)
                with open('Attendance.csv', 'a') as f:
                        if (name != 'unknown'):         
                            buttonReply = QMessageBox.question(self, '欢迎 ' + name, '开始签到' ,
                                                               QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
                            if buttonReply == QMessageBox.Yes:

                                date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S")
                                f.writelines(f'\n{name},{date_time_string},Clock In')
                                self.ClockInButton.setChecked(False)

                                self.NameLabel.setText(name)
                                self.StatusLabel.setText('签到')
                                self.HoursLabel.setText('开始签到计时中')
                                self.MinLabel.setText('')

                                self.Time1 = datetime.datetime.now()
                                self.ClockInButton.setEnabled(True)
                            else:
                                print('签到操作失败')
                                self.ClockInButton.setEnabled(True)
            elif self.ClockOutButton.isChecked():
                self.ClockOutButton.setEnabled(False)
                with open('Attendance.csv', 'a') as f:
                        if (name != 'unknown'):
                            buttonReply = QMessageBox.question(self, '嗨呀 ' + name, '确认签退?',
                                                              QMessageBox.Yes | QMessageBox.No, QMessageBox.No)
                            if buttonReply == QMessageBox.Yes:
                                date_time_string = datetime.datetime.now().strftime("%y/%m/%d %H:%M:%S")
                                f.writelines(f'\n{name},{date_time_string},Clock Out')
                                self.ClockOutButton.setChecked(False)

                                self.NameLabel.setText(name)
                                self.StatusLabel.setText('签退')
                                self.Time2 = datetime.datetime.now()

                                self.ElapseList(name)
                                self.TimeList2.append(datetime.datetime.now())
                                CheckInTime = self.TimeList1[-1]
                                CheckOutTime = self.TimeList2[-1]
                                self.ElapseHours = (CheckOutTime - CheckInTime)
                                self.MinLabel.setText("{:.0f}".format(abs(self.ElapseHours.total_seconds() / 60)%60) + 'm')
                                self.HoursLabel.setText("{:.0f}".format(abs(self.ElapseHours.total_seconds() / 60**2)) + 'h')
                                self.ClockOutButton.setEnabled(True)
                            else:
                                print('签退操作失败')
                                self.ClockOutButton.setEnabled(True)

项目目录结构

正式版改进

1.加入TensorFlow深度学习，提高系统人脸识别安全性与准确性

2.加入MySQL数据库，对签到数据进行更安全保护，不易被修改

3.美化优化UI设计

项目

https://github.com/BIGBOSS-dedsec/Python-Face-recognition-Attendance