private async void scaning_Interval_Tick(object sender, EventArgs e)
{
numberBefore++;
lblBefore.Text = numberBefore.ToString();
//taking frame from picturebox pbCamera
Bitmap frame = pbCamera.Image.Clone() as Bitmap;
bool savingActive = false;
//convert frame to grayscale maybe...
//readQR returns null if user with given qr code does not exist
if (frame != null)
{
if (act == action.idle || act == action.qr_recognition)
{
act = action.qr_recognition;
lblAction.Text = act.ToString();
user = await readQR(frame, apiService_AuthUser);
if (user == null)
{
return;
}
else
{
act = action.face_recognition;
lblAction.Text = act.ToString();
lblLastUser.Text = user.FirstName + " " + user.LastName;
ticks += 1;
lblTicks.Text = ticks.ToString();
scaning_Interval.Dispose();
scaning_Interval.Stop();
if (act == action.face_recognition)
{
await trainRecognizer(user.Id);
var search = new Model.SearchRequest.PresenceSearchRequest()
{
EventId = (int)eventId, UserId = user.Id
};
var presenceList = await apiService_Presence.Get <List <Model.Presence> >(search);
presence = presenceList[0];
face_recognition.Start();
}
//scaning_Interval.Container.Dispose();
//act = action.face_detection;
//lblAction.Text = act.ToString();
//scaning_Interval.Dispose();
//face_recognition.Start();
}
numberAfter++;
lblAfter.Text = numberAfter.ToString();
}
}
}
private async void face_recognition_Tick(object sender, EventArgs e)
{
Bitmap frame = pbCamera.Image.Clone() as Bitmap;
Image <Gray, Byte> frameGray = new Image <Gray, Byte>(frame);
//detecting face
var rect = detectFace(frameGray);
//face not found
if (rect == null)
{
return;
}
else
{
//face found
var userImage = cutImage(frameGray, (Rectangle)rect);
//replacing pbImage
var bitmapUserImage = userImage.Bitmap;
pbUser.Image = bitmapUserImage;
//scaling image to 100x100 so face can be recognized
Image <Gray, byte> result = userImage.Copy().Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.Inter.Cubic);
//predicting user based on picture...
var predictResult = FaceRecognition.Predict(result.Mat);
var id = (int)predictResult.Label;
if ((int)id > 0)
{
FaceRecognitionTicks = 0;
FaceRecognitionTotalTicks = 0;
act = action.idle;
lblAction.Text = act.ToString();
face_recognition.Dispose();
var presenceInsertRequest = new PresenceInsertRequest()
{
AttendedWholeEvent = true,
EventId = Event.Id,
UserId = user.Id,
Image = ImageToByte2(result.Bitmap),
Notes = "",
PresenceAttendingDateTime = DateTime.Now,
PresenceCreatingDateTime = presence.PresenceCreatingDateTime,
PresenceLeavingDateTime = null,
FaceDetected = true,
FaceRecognized = true
};
await apiService_Presence.Update <Model.Presence>(presence.Id, presenceInsertRequest);
}
else
{
FaceRecognitionTicks += 1;
if (FaceRecognitionTicks >= 10)
{
//save user to prisustvo...
FaceRecognitionTicks = 0;
FaceRecognitionTotalTicks = 0;
act = action.idle;
lblAction.Text = act.ToString();
face_recognition.Dispose();
face_recognition.Stop();
var presenceInsertRequest = new PresenceInsertRequest()
{
AttendedWholeEvent = true,
EventId = Event.Id,
UserId = user.Id,
Image = ImageToByte2(result.Bitmap),
Notes = "",
PresenceAttendingDateTime = DateTime.Now,
PresenceCreatingDateTime = presence.PresenceCreatingDateTime,
PresenceLeavingDateTime = null,
FaceDetected = true,
FaceRecognized = false
};
await apiService_Presence.Update <Model.Presence>(presence.Id, presenceInsertRequest);
}
}
}
FaceRecognitionTotalTicks += 1;
if (FaceRecognitionTotalTicks >= 20)
{
FaceRecognitionTicks = 0;
FaceRecognitionTotalTicks = 0;
act = action.idle;
lblAction.Text = act.ToString();
face_recognition.Dispose();
var presenceInsertRequest = new PresenceInsertRequest()
{
AttendedWholeEvent = null,
EventId = Event.Id,
UserId = user.Id,
Image = null,
Notes = "",
PresenceAttendingDateTime = DateTime.Now,
PresenceCreatingDateTime = presence.PresenceCreatingDateTime,
PresenceLeavingDateTime = null,
FaceDetected = false,
FaceRecognized = false
};
await apiService_Presence.Update <Model.Presence>(presence.Id, presenceInsertRequest);
}
}
