Example #1
0
 /// <summary>
 /// button event to person in database
 /// </summary>
 /// <param name="sender"></param>
 /// <param name="e"></param>
 private void button1_Click_1(object sender, EventArgs e)
 {
     if (!(IsEmptyOrWhiteSpace(textBoxName.Text)))
     {
         if (!(IsEmptyOrWhiteSpace(textBoxPersonName.Text)))
         {
             if (!(IsEmptyOrWhiteSpace(textBoxAge.Text)))
             {
                 try
                 {
                     if (Utilities.checkUserName(textBoxName.Text) && !(labels.Contains(textBoxName.Text)))
                     {
                         Bitmap             masterImage           = (Bitmap)pictureBox1.Image;
                         Image <Gray, Byte> normalizedMasterImage = new Image <Gray, Byte>(masterImage);
                         trainingImages.Add(normalizedMasterImage);
                         labels.Add(textBoxName.Text);
                         for (int i = 1; i < trainingImages.ToArray().Length + 1; i++)
                         {
                             trainingImages.ToArray()[i - 1].Save(Application.StartupPath + "/Faces/" + textBoxName.Text + ".bmp"); //saving greyscaled face image as trained data
                         }
                         File.AppendAllText(Application.StartupPath + "/Faces/Faces.txt", textBoxName.Text + ",");                  //writing person username to database file
                         DBConnecttion.getInstance().createPerson(textBoxName.Text, textBoxPersonName.Text, textBoxAge.Text, "xc"); //inserting remaining person info in sqlite database
                         textBoxAge.Text        = "";
                         textBoxName.Text       = "";
                         textBoxPersonName.Text = "";
                         MessageBox.Show("Person Added to Database!");
                     }
                     else
                     {
                         MessageBox.Show("Warning : Username only contain alphanumeric characters and must not be already regsitered!");
                     }
                 }
                 catch (Exception exp)
                 {
                     MessageBox.Show("Warning : Detect face first!");
                 }
             }
             else
             {
                 MessageBox.Show("Age must be filled!");
             }
         }
         else
         {
             MessageBox.Show("Name must be filled");
         }
     }
     else
     {
         MessageBox.Show("Username must be filled");
     }
 }
Example #2
0
        /// <summary>
        /// button event to delete all data from sqllite database and terminate the application
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button1_Click(object sender, EventArgs e)
        {
            DBConnecttion.getInstance().deleteAll();
            System.IO.DirectoryInfo di = new DirectoryInfo(Application.StartupPath + "/Faces");

            foreach (FileInfo file in di.GetFiles())
            {
                file.Delete();
            }
            foreach (DirectoryInfo dir in di.GetDirectories())
            {
                dir.Delete(true);
            }
            Application.Exit();
        }
Example #3
0
        /// <summary>
        /// Constructor of this form
        /// </summary>

        public Form1()
        {
            InitializeComponent();
            DBConnecttion.getInstance().openConnection();   //Establising connection with sqllite database

            /*
             *
             * these are haarcascades for detecting face,eyes,nose,mouth.
             * comment out with features you don't want to detect.
             * if you comment from here you also have to comment related code from "FrameProcedure" function
             *
             */



            faceDetected = new HaarCascade("haar/haarcascade_frontalface_default.xml"); //HaarCascade is to detect face
            eyesDetected = new HaarCascade("haar/eye.xml");                             //HaarCascade is to detect eyes
            //noseDetected = new HaarCascade("haar/nose.xml");  //HaarCascade is to detect eyes
            // mouthDetected = new HaarCascade("haar/mouth.xml");  //HaarCascade is to detect eyes

            try
            {
                //importing trained data from db file and adding to runtime list

                string        Labelsinf = File.ReadAllText(Application.StartupPath + "/Faces/Faces.txt");
                List <string> Labels    = Labelsinf.Split(',').Distinct().ToList <string>();
                Numlabels = Labels.Count();
                Count     = Numlabels;
                string FacesLoad;
                foreach (string i in Labels)
                {
                    trainingImages.Add(new Image <Gray, byte>(Application.StartupPath + $"/Faces/{i}.bmp"));
                    labels.Add(i);
                }
            }catch (Exception e)
            {
            }
        }
Example #4
0
        /// <summary>
        /// Functon to process captured frame and detection of face and also recognizing
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void FrameProcedure(object sender, EventArgs e)
        {
            try
            {
                Users.Add("");
                Frame    = camera.QueryFrame().Resize(480, 360, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
                grayFace = Frame.Convert <Gray, byte>();


                /*
                 * Face and face feactures detection data, if you don't want to detect of face feacture comment the line.
                 * this portion is releted to Haarcascade
                 */

                MCvAvgComp[][] facesDetectedNow = grayFace.DetectHaarCascade(faceDetected, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(10, 10));
                //MCvAvgComp[][] eyesDetectedNow = grayFace.DetectHaarCascade(eyesDetected, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(5, 5));
                //MCvAvgComp[][] noseDetectedNow = grayFace.DetectHaarCascade(noseDetected, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(5, 5));
                //MCvAvgComp[][] mouthDetectedNow = grayFace.DetectHaarCascade(mouthDetected, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(5, 5));
                foreach (MCvAvgComp f in facesDetectedNow[0])
                {
                    result = Frame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
                    Frame.Draw(f.rect, new Bgr(Color.DarkViolet), 2);
                    if (trainingImages.ToArray().Length != 0)
                    {
                        MCvTermCriteria       termCriteries = new MCvTermCriteria(Count, 0.001);
                        EigenObjectRecognizer recognizer    = new EigenObjectRecognizer(trainingImages.ToArray(), labels.ToArray(), 1500, ref termCriteries);
                        name = recognizer.Recognize(result);
                        Frame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.Green)); //drawing box around the detect face
                        if (name != "")
                        {
                            if (monitorMode)
                            {
                                imageBoxFaceDetected.Image = new Image <Gray, byte>(Application.StartupPath + $"/Faces/{name}.bmp");
                                Person person = DBConnecttion.getInstance().personInfo(name);
                                labelName.Text     = person.Name;
                                labelUserName.Text = name;
                                labelAge.Text      = person.Age;
                            }
                        }
                    }

                    Users.Add("");

                    /*
                     * foreach(MCvAvgComp j in eyesDetectedNow[0])
                     * {
                     *
                     *  Frame.Draw(j.rect, new Bgr(Color.Red), 2);
                     *
                     * }
                     */
                    /*
                     *
                     * foreach (MCvAvgComp j in noseDetectedNow[0])
                     * {
                     *
                     *  Frame.Draw(j.rect, new Bgr(Color.Red), 2);
                     *
                     * }
                     */



                    /*
                     * foreach (MCvAvgComp j in mouthDetectedNow[0])
                     * {
                     *  Frame.Draw(j.rect, new Bgr(Color.Red), 2);
                     *
                     * }
                     */
                }
                liveCameraView.Image = Frame;
                names = "";
                Users.Clear();
            }
            catch (Exception ex)
            {
                //MessageBox.Show(ex.Message);
            }
        }