private void AllStudentRecord_Load(object sender, EventArgs e)
{
List <string[]> items = new List <string[]>();
dynamic attendanceAll = new AttendanceTable().All();
if (attendanceAll != null)
{
foreach (var attendance in attendanceAll)
{
string studentName = new StudentTable().GetStudentName(attendance.matric_number.ToString());
items.Add(new string[] { studentName, attendance.matric_number.ToString() });
}
}
// Convert to DataTable.
DataTable table = ConvertListToDataTable(items);
dataGridView1.DataSource = table;
}
private void buttonView_Click(object sender, EventArgs e)
{
List <string[]> items = new List <string[]>();
string dateTime = comboBoxDate.SelectedItem.ToString();
dynamic attendanceByDate = new AttendanceTable().All(where : String.Format("date_taken='{0}'", dateTime));
if (attendanceByDate != null)
{
foreach (var attendance in attendanceByDate)
{
string studentName = new StudentTable().GetStudentName(attendance.matric_number.ToString());
items.Add(new string[] { studentName, attendance.matric_number.ToString() });
}
}
// Convert to DataTable.
DataTable table = ConvertListToDataTable(items);
dataGridView1.DataSource = table;
}
private void button2_Click(object sender, EventArgs e)
{
try
{
//Trained face counter
ContTrain = ContTrain + 1;
//Get a gray frame from capture device
gray = grabber.QueryGrayFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//Face Detector
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
1.2,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(20, 20));
//Action for each element detected
foreach (MCvAvgComp f in facesDetected[0])
{
TrainedFace = currentFrame.Copy(f.rect).Convert <Gray, byte>();
break;
}
//resize face detected image for force to compare the same size with the
//test image with cubic interpolation type method
TrainedFace = result.Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
trainingImages.Add(TrainedFace);
labels.Add(textBoxMatricNumber.Text);
//Show face added in gray scale
imageBox1.Image = TrainedFace;
//Write the number of triained faces in a file text for further load
File.WriteAllText(Application.StartupPath + "/TrainedFaces/TrainedLabels.txt", trainingImages.ToArray().Length.ToString() + "%");
//Write the labels of triained faces in a file text for further load
for (int i = 1; i < trainingImages.ToArray().Length + 1; i++)
{
trainingImages.ToArray()[i - 1].Save(Application.StartupPath + "/TrainedFaces/face" + i + ".bmp");
File.AppendAllText(Application.StartupPath + "/TrainedFaces/TrainedLabels.txt", labels.ToArray()[i - 1] + "%");
}
StudentTable student = new StudentTable();
dynamic studentRecord = new ExpandoObject();
studentRecord.first_name = textBoxFirstName.Text;
studentRecord.last_name = textBoxLastName.Text;
studentRecord.matric_number = textBoxMatricNumber.Text;
student.RegisterStudent(studentRecord);
MessageBox.Show(textBoxMatricNumber.Text + "´s face detected and added.", "Training OK", MessageBoxButtons.OK, MessageBoxIcon.Information);
conn = new OleDbConnection();
conn.ConnectionString = "provider=Microsoft.ACE.OLEBD.12.0; Data Source = |DataDirectory|/facialRec.accdb";
try
{
conn.Open();
string query;
query = "INSERT INTO student(matno,fullname,department,coursecode,semester) VALUES ('" + textBoxMatricNumber.Text + "','" + (textBoxFirstName.Text + " " + textBoxLastName.Text) + "','" + combodept.SelectedIndex + "', '" + textcc.Text + "','" + combosms.SelectedIndex + "')";
cmd = new OleDbCommand(query, conn);
rd = cmd.ExecuteReader();
conn.Close();
}
catch (OleDbException ex)
{
MessageBox.Show(ex.Message);
}
finally
{
conn.Dispose();
}
}
catch
{
MessageBox.Show("Wait For Face To Be Detected First", "Training Fail", MessageBoxButtons.OK, MessageBoxIcon.Exclamation);
}
}
