Ejemplo n.º 1
0
        private void ProcessFrame(object sender, EventArgs e)
        {
            try
            {
                String m = "";

                _cascadeClassifier = new CascadeClassifier("C:/Emgu/emgucv-windesktop 3.2.0.2682/opencv/data/haarcascades/haarcascade_frontalface_default.xml");
                using (var imageFrame = _capture.QueryFrame().ToImage <Bgr, Byte>())
                {
                    if (imageFrame != null)
                    {
                        var grayframe = imageFrame.Convert <Gray, byte>();
                        var faces     = _cascadeClassifier.DetectMultiScale(grayframe, 1.1, 10, Size.Empty); //the actual face detection happens here
                        foreach (var face in faces)
                        {
                            imageFrame.Draw(face, new Bgr(Color.BurlyWood), 3); //the detected face(s) is highlighted here using a box that is drawn around it/them
                            grayframe.Draw(face, new Gray(1.523), 3);
                            unknownFace = grayframe;
                            lable       = myRecognizer.RecognizeUser(unknownFace);
                        }
                    }
                    imgCamUser.Image = imageFrame;
                    sqlite_conn.Open();
                    sqlite_cmd             = sqlite_conn.CreateCommand();
                    sqlite_cmd.CommandText = "select doc_name from doctor where doc_id =" + lable + ";";
                    sqlite_datareader      = sqlite_cmd.ExecuteReader();

                    while (sqlite_datareader.Read())
                    {
                        m = sqlite_datareader.GetString(0);
                    }

                    sqlite_cmd.ExecuteNonQuery();
                    sqlite_conn.Close();
                    sqlite_datareader.Close();
                    Console.WriteLine("name " + m + "id" + lable);
                    label4.Text = "Hi " + m;
                }
            }
            catch (Exception ex) { }
        }
Ejemplo n.º 2
0
        private void recognizeTheFace_Click(object sender, EventArgs e)
        {
            trainCascadeClassifier = new CascadeClassifier("C:/Emgu/emgucv-windesktop 3.2.0.2682/opencv/data/haarcascades/haarcascade_frontalface_default.xml");
            using (var currentFrame = _capture.QueryFrame().ToImage <Bgr, Byte>())
            {
                if (currentFrame != null)
                {
                    var grayframe = currentFrame.Convert <Gray, byte>();
                    var faces     = trainCascadeClassifier.DetectMultiScale(grayframe, 1.1, 10, Size.Empty); //the actual face detection happens here
                    foreach (var face in faces)
                    {
                        grayframe.Draw(face, new Gray(1.523), 3); //the detected face(s) is highlighted here using a box that is drawn around it/them
                    }
                    unknownFace = grayframe;
                }
            }
            int lable = myRecognizer.RecognizeUser(unknownFace);

            Console.Write(lable);
            MessageBox.Show(""
                            + lable, "Detected Face",
                            MessageBoxButtons.OK, MessageBoxIcon.Exclamation);
        }
Ejemplo n.º 3
0
        private void ProcessFrame(object sender, EventArgs e)
        {
            try
            {
                String m = "";

                DateTime datetime = DateTime.Now;
                sqlite_conn = new SQLiteConnection("Data Source=" + Environment.GetEnvironmentVariable("appdata") + "/Project_1_1/Project.db ; Version =3;");

                int lable = 0;
                _cascadeClassifier = new CascadeClassifier("C:/Emgu/emgucv-windesktop 3.2.0.2682/opencv/data/haarcascades/haarcascade_frontalface_default.xml");
                using (var imageFrame = _capture.QueryFrame().ToImage <Bgr, Byte>())
                {
                    if (imageFrame != null)
                    {
                        var grayframe = imageFrame.Convert <Gray, byte>();
                        var faces     = _cascadeClassifier.DetectMultiScale(grayframe, 1.1, 10, Size.Empty); //the actual face detection happens here
                        foreach (var face in faces)
                        {
                            imageFrame.Draw(face, new Bgr(Color.BurlyWood), 3); //the detected face(s) is highlighted here using a box that is drawn around it/them
                            grayframe.Draw(face, new Gray(1.523), 3);
                            unknownFace = grayframe;
                            lable       = myRecognizer.RecognizeUser(unknownFace);
                        }
                    }
                    imgCamUser.Image = imageFrame;
                    if (lable == 0)
                    {
                        label4.Text = "Sorry I don't know you , please leave a copy of ur ID";
                    }
                    else
                    {
                        sqlite_conn.Open();
                        sqlite_cmd             = sqlite_conn.CreateCommand();
                        sqlite_cmd.CommandText = "select stu_name from student where stu_id =" + lable + ";";
                        sqlite_datareader      = sqlite_cmd.ExecuteReader();

                        while (sqlite_datareader.Read())
                        {
                            m = sqlite_datareader.GetString(0);
                        }

                        sqlite_cmd.ExecuteNonQuery();
                        sqlite_conn.Close();
                        sqlite_datareader.Close();
                        label4.Text = "Hi " + m;

                        String r = "";
                        //  Console.WriteLine("name " + m + "id" + lable);

                        sqlite_conn.Open();
                        sqlite_cmd             = sqlite_conn.CreateCommand();
                        sqlite_cmd.CommandText = "select student_id from attendance where student_id =" + lable + "and subj_id = '" + subj + "';";
                        sqlite_datareader      = sqlite_cmd.ExecuteReader();

                        while (sqlite_datareader.Read())
                        {
                            r = sqlite_datareader.GetString(0);
                        }

                        sqlite_cmd.ExecuteNonQuery();
                        sqlite_conn.Close();
                        sqlite_datareader.Close();

                        if (lable != 0 && r == "")
                        {
                            sqlite_conn.Open();
                            sqlite_cmd             = sqlite_conn.CreateCommand();
                            sqlite_cmd.CommandText = "insert into attendance values(" + lable + ",'" + subj + "','" + datetime + "');";
                            sqlite_cmd.ExecuteNonQuery();
                            sqlite_conn.Close();
                        }
                    }
                }
            }
            catch (Exception ex) { }
        }