本項目為IOT實驗室人員簽到考勤設計,系統實現功能:
人員人臉識別並完成簽到/簽退
考勤時間計算
保存考勤數據為CSV格式(Excel表格)
PS:本系統2D人臉識別,節約了繁瑣的人臉識別訓練部分,簡潔快捷
該項目為測試版,正式版會加入更多的功能,持續更新中..... 測試版項目地址我會放到結尾
核心環境:
OpenCV-Python 4.5.5.64
face_recognition 1.30
face_recognition_model 0.3.0
dlib 19.23.1
UI窗體界面:
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
Pycham 2021.1.3
**Python版本 3.9.12**
Anaconda
「MainWindow.py」UI文件加載:
class Ui_Dialog(QDialog):
def __init__(self):
super(Ui_Dialog, self).__init__()
loadUi("mainwindow.ui", self) ##加載QTUI文件
self.runButton.clicked.connect(self.runSlot)
self._new_window = None
self.Videocapture_ = None
攝像頭調用:
def refreshAll(self):
print("當前調用人倆檢測攝像頭編號(0為筆記本內置攝像頭,1為USB外置攝像頭):")
self.Videocapture_ = "0"
「OutWindow.py」獲取當前系統時間
class Ui_OutputDialog(QDialog):
def __init__(self):
super(Ui_OutputDialog, self).__init__()
loadUi("./outputwindow.ui", self) ##加載輸出窗體UI
##datetime 時間模塊
now = QDate.currentDate()
current_date = now.toString('ddd dd MMMM yyyy') ##時間格式
current_time = datetime.datetime.now().strftime("%I:%M %p")
self.Date_Label.setText(current_date)
self.Time_Label.setText(current_time)
self.image = None
簽到時間計算
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)
人臉識別部分
## 人臉識別部分
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" ##未知人臉識別為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
簽到數據保存與判斷
## csv表格保存數據
def mark_attendance(name):
"""
:param name: 人臉識別部分
:return:
"""
if self.ClockInButton.isChecked():
self.ClockInButton.setEnabled(False)
with open('Attendance.csv', 'a') as f:
if (name != 'unknown'): ##簽到判斷:是否為已經識別人臉
buttonReply = QMessageBox.question(self, '歡迎 ' + name, '開始簽到' ,
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('簽到')
self.HoursLabel.setText('開始簽到計時中')
self.MinLabel.setText('')
self.Time1 = datetime.datetime.now()
self.ClockInButton.setEnabled(True)
else:
print('簽到操作失敗')
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, '確認簽退?',
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('簽退')
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('簽退操作失敗')
self.ClockOutButton.setEnabled(True)
因為本系統沒有進行人臉訓練建立模型,系統誤識別率較高,安全性較低
系統優化較差,攝像頭捕捉幀數較低(8-9),後台占有高,CPU利用率較高
數據保存CSV格式,安全性較低
加入TensorFlow深度學習,提高系統人臉識別安全性與准確性
加入MySQL數據庫,對簽到數據進行更安全保護,不易被修改
美化優化UI設計
源碼在公眾號Python研究者後台回復考勤簽到獲取~
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