Cyber Code

mengapa raspberry pi?

mengapa raspberry pi? mikrokonttroller mungil yang serba bisa 
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Bagi anda yang sudah terbiasa menggunakan mikrokontroller  untuk berbagai proyek elektronika, adalah sebuah keuntungan jika beralih ke Raspberry pi. sejak tahun 2006, telah dikembangkan komputer berukuran mungil dan relatif murah, dapat dioprek untuk keperluan pengendalian digital,, seperti robotik , remote control, sampai pada aplikasi web, dan dapat membangun komputer desktop yang murah meriah.</div>
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Raspberry pi dapat menjadi mikrokontroller sekaligus sebagai komputer.jika mikrokontroller terbatas pada penggunaan RAM dan tidak mampu mengaplikasikan grafis, maka raspberry PI hadir bukan hanya sebagai mikrokontroller,tetapi mengaplikasikan program berbasis grafis sepertil halnya aplikasi pada tablet.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiztdSYTJIWhaQ5_uWOqZ5OF7mhRnaq-kefHtet_TWBCy5_Msj48jXV31Dymd5VlteA1j3fqWDKEeeiQEXGeZTBzmdUtTLDnq53T81djW53ZD059xylkIp0iIeUkMXZHkxfTlxzQnkne4o/s1600/raspberry-pi-3-model-b.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiztdSYTJIWhaQ5_uWOqZ5OF7mhRnaq-kefHtet_TWBCy5_Msj48jXV31Dymd5VlteA1j3fqWDKEeeiQEXGeZTBzmdUtTLDnq53T81djW53ZD059xylkIp0iIeUkMXZHkxfTlxzQnkne4o/s320/raspberry-pi-3-model-b.jpg" width="320" /></a></div>
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mengapa raspberry pi?

mengapa raspberry pi? mikrokonttroller mungil yang serba bisa Bagi anda yang sudah terbiasa menggunakan mikrokontroller untuk berbagai proyek elektronika, adalah sebuah keuntungan jika beralih ke Raspberry pi. sejak tahun 2006, telah dikembangkan komputer berukuran mungil dan relatif murah, dapat d…

24Aug2016

Instalasi Raspberry pi

Instalasi Raspberry pi

bagaimana cara menginstal raspberry pi? mangga bisa di tonton saja video tutorial di bawah ini....selamat menyimak …

23Aug2016

Memasukkan Data ke Database( Create)

bagaimana cara memasukkan data ke database melaui script php: 
3 file yang dibuat : 
<ol>
<li>koneksi.php (untuk mengkoneksikan ke database yang dituju)</li>
<li>form_input.php (bentuk form berisi textbox dan tombol simpan )</li>
<li>simpan_data.php( ketika tombol kirim ditekan, maka data tersebut diperintahkan untuk masuk ke database yang dituju)</li>
</ol>
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bagaimana cara menuliskan scriptnya ?</div>
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tonton video berikut</div>
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<iframe width="320" height="266" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/pgxQLHfM3A8/0.jpg" src="https://www.youtube.com/embed/pgxQLHfM3A8?feature=player_embedded" frameborder="0" allowfullscreen></iframe></div>
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source code lengkap download di sini 
<button onclick="window.location='https://github.com/daniahmad92?tab=repositories'">Download</button>

Memasukkan Data ke Database( Create)

bagaimana cara memasukkan data ke database melaui script php: 3 file yang dibuat : koneksi.php (untuk mengkoneksikan ke database yang dituju) form_input.php (bentuk form berisi textbox dan tombol simpan ) simpan_data.php( ketika tombol kirim ditekan, maka data tersebut diperintahkan untuk masuk ke d…

20Aug2016

Pengolahan database dengan PHP -dasar

Pada  sesi sebelumnya , kita sudah sampai pada pembahasan tentang bagaimana mengkoneksikan sebuah perintah PHP untuk mengeksekusi database.Pada bagian ini, kita lanjutkan pada pembahasan inti dari PHP.Kok bisa inti....?? 
Ya,,,,pada intinya , semua pemrograman PHP hanya memiliki 4 tujuan utama , yaitu.... 
 
<ol>
<li>Membuat Data (Create)</li>
<li>Menampilkan Data (Read)</li>
<li>Mengedit atau Update data (Update)</li>
<li>Menghapus data (Delete)</li>
</ol>
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Sehingga 4 teknik atau tujuan dari script PHP ini dikenal sebagai CRUD (Create, Read,Update,Delete ) . jika CRUD ini sudah kita kuasai , maka ibarat busur dan anak panah sudah ditangan, tinggal mau ditembakkan kemana panahnya . Pokoke .....Setiap Master atau calon  Master PHP manapun, maka CRUD ini pasti sudah dikuasai dan  So.....jangan pelajari yang lain sebelum menguasai CRUD ini.. 
 
oke sekarang agan tinggal cek pembahasan selanjutnya di tutorial  Memasukkan Data ke Database (Create) 
 
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Pengolahan database dengan PHP -dasar

20Aug2016

Koneksi dengan database -php-dasar

Setelah kita memiliki database dan tabelnya, langkah selanjutnya adalah bagaimanana cara mengkoneksikan atau menghubungkannya dengan file script php yang akan kita buat.

berikut script untuk membuat koneksi PHP dengan database:

pertama kita buat  script php dengan nama "koneksi.php"....selanjutkan ketikan kode berikut 
 
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxIXIk4qSq3LEjtBe7AjvZZLOlb9zbuPdh1pfocqNf502-pU9g-6crCCilfzo1r9O4yDPYQbY4_vZgcJV7-DHdirQDNTluDgg_K5CbbrKy8MWeRrcya9J9gpk5gfh2Iu-775vIpgDePgQ/s1600/koneksi.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="268" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhxIXIk4qSq3LEjtBe7AjvZZLOlb9zbuPdh1pfocqNf502-pU9g-6crCCilfzo1r9O4yDPYQbY4_vZgcJV7-DHdirQDNTluDgg_K5CbbrKy8MWeRrcya9J9gpk5gfh2Iu-775vIpgDePgQ/s640/koneksi.png" width="640" /></a></div>
 
 
Script koneksi dengan database tersebut adalah script PHP untuk mengkoneksikan dengan database yang bernama "belajar" yang berada pada server "localhost" dengan user "root" dengan tidak menggukanak pasword.Demgam demikian semua perintah eksekusi terhadap database dapat dilakukan setelah script koneksi ke database berikut . 
 
catatan : 
 
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<li>script koneksi tersebut disimpan dalam file tersendiri untuk kemudian di panggil oleh script PHP atau dapat ditempatkan pada setiap permulaan memulai sebuah perintah terhadap eksekusi ke database</li>
<li>jika ingin menghubungkan  dengan database yang lain, hanya tinggal mengganti nama database yang akan dieksekusi oleh script PHP.yang diganti nama databsenya adalah pada baris $database = "belajar";</li>
</ul>
 
 
source code lengkap download di sini 
<button onclick="window.location='https://github.com/daniahmad92/php-dasar-koneksi.php'">Download</button>

Koneksi dengan database -php-dasar

Setelah kita memiliki database dan tabelnya, langkah selanjutnya adalah bagaimanana cara mengkoneksikan atau menghubungkannya dengan file script php yang akan kita buat. berikut script untuk membuat koneksi PHP dengan database: pertama kita buat script php dengan nama "koneksi.php"....selanjutkan k…

20Aug2016

ledberkedip-python uno

kasus 
anda memiliki papan mikrokontroller arduino dan anda ingin membuat program yang berperan sebagai antarmka (interface) antara komputer dengan mikrokontroller. anda merasa bingung harus mulai dari mana? 
solusi : 
untuk menangani permasalah ini ,anda membutuhkan interpreter Python dan library tambahan yang dapat menghubungkan python dgn arduino. salah satunya adalah paket pyfirmata.Anda dapat memperoleh paket pyfirmata dari <a href="https://pypi.python.org/pypi/pyFirmata">https://pypi.python.org/pypi/pyFirmata</a> 
 
daripada tambah pusing,, mending lihat video nya gan... 
 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/u-4_G8aETtc/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/u-4_G8aETtc?feature=player_embedded" width="320"></iframe></div>
 
 
 
source code lengkap download di sini 
<button onclick="window.location='https://github.com/daniahmad92/python-ledberkedip'">Download</button>

ledberkedip-python uno

kasus anda memiliki papan mikrokontroller arduino dan anda ingin membuat program yang berperan sebagai antarmka (interface) antara komputer dengan mikrokontroller. anda merasa bingung harus mulai dari mana? solusi : untuk menangani permasalah ini ,anda membutuhkan interpreter Python dan library tamb…

19Aug2016

face detection -python

face detection -python

bagaimana cara mendeteksi muka dan mata dengan python? simak video tutorial berikut : source code lengkap download di sini Download…

19Aug2016

Akses video dengan python

bagaiamana cara mengakses video wabcam dengan python ? 
 
berikut adalah video tutorialnya ,...mangga ditonton wae.... 
 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/V9bIuaVQBoI/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/V9bIuaVQBoI?feature=player_embedded" width="320"></iframe></div>
 
 
source code : 
 
import cv2.cv as cv 
import time 
cv.NamedWindow("camera", 1) 
capture = cv.CaptureFromCAM(0) 
while True: 
    img = cv.QueryFrame(capture) 
    cv.ShowImage("camera", img) 
    if cv.WaitKey(10) == 27: 
        break 
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source code lengkap download di sini 
<button onclick="window.location='https://github.com/daniahmad92/python-akses-kamera'">Download</button>

Akses video dengan python

bagaiamana cara mengakses video wabcam dengan python ? berikut adalah video tutorialnya ,...mangga ditonton wae.... source code : import cv2.cv as cv import time cv.NamedWindow("camera", 1) capture = cv.CaptureFromCAM(0) while True: img = cv.QueryFrame(capture) cv.ShowImage("camera", img) …

19Aug2016

facedetection menggunakan Camshift

ingin membuat sistem pengenalan wajah dengan menggunakn python ? 
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjCDiH7xPXhSlzi6h0F4OreJLawFTDh8J6HSqoevIof91tO9vSpz-sqxN0k2uq5l3aYTqLwhWTzOO5ZVEfMNd9g_F4yoUILSKAPKDiMGLkAn8hKupmypmeYF7EXNeit8PQekkqo8uPBDg/s1600/333.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="218" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhjCDiH7xPXhSlzi6h0F4OreJLawFTDh8J6HSqoevIof91tO9vSpz-sqxN0k2uq5l3aYTqLwhWTzOO5ZVEfMNd9g_F4yoUILSKAPKDiMGLkAn8hKupmypmeYF7EXNeit8PQekkqo8uPBDg/s320/333.png" width="320" /></a></div>
 
berikut adalah source code chamsift yang ditulis dengan menggunakan bahasa python 
perlu diperhatikan kalau kode ini menggunakan library opencv dan numpy,  
 
#!C:\Python27\python 
 
import cv2.cv as cv 
import numpy 
 
def is_rect_nonzero(r): 
    (_,_,w,h) = r 
    return (w > 0) and (h > 0) 
 
class CamShiftDemo: 
 
    def __init__(self): 
        self.capture = cv.CaptureFromCAM(0) 
        cv.NamedWindow( "CamShiftDemo", 1 ) 
        cv.NamedWindow( "Histogram", 1 ) 
        cv.SetMouseCallback( "CamShiftDemo", self.on_mouse) 
 
        self.drag_start = None      # Set to (x,y) when mouse starts drag 
        self.track_window = None    # Set to rect when the mouse drag finishes 
 
        print( "Keys:\n" 
            "    ESC - quit the program\n" 
            "    b - switch to/from backprojection view\n" 
            "To initialize tracking, drag across the object with the mouse\n" ) 
 
    def hue_histogram_as_image(self, hist): 
        """ Returns a nice representation of a hue histogram """ 
 
        histimg_hsv = cv.CreateImage( (320,200), 8, 3) 
 
        mybins = cv.CloneMatND(hist.bins) 
        cv.Log(mybins, mybins) 
        (_, hi, _, _) = cv.MinMaxLoc(mybins) 
        cv.ConvertScale(mybins, mybins, 255. / hi) 
 
        w,h = cv.GetSize(histimg_hsv) 
        hdims = cv.GetDims(mybins)[0] 
        for x in range(w): 
            xh = (180 * x) / (w - 1)  # hue sweeps from 0-180 across the image 
            val = int(mybins[int(hdims * x / w)] * h / 255) 
            cv.Rectangle( histimg_hsv, (x, 0), (x, h-val), (xh,255,64), -1) 
            cv.Rectangle( histimg_hsv, (x, h-val), (x, h), (xh,255,255), -1) 
 
        histimg = cv.CreateImage( (320,200), 8, 3) 
        cv.CvtColor(histimg_hsv, histimg, cv.CV_HSV2BGR) 
        return histimg 
 
    def on_mouse(self, event, x, y, flags, param): 
        if event == cv.CV_EVENT_LBUTTONDOWN: 
            self.drag_start = (x, y) 
        if event == cv.CV_EVENT_LBUTTONUP: 
            self.drag_start = None 
            self.track_window = self.selection 
        if self.drag_start: 
            xmin = min(x, self.drag_start[0]) 
            ymin = min(y, self.drag_start[1]) 
            xmax = max(x, self.drag_start[0]) 
            ymax = max(y, self.drag_start[1]) 
            self.selection = (xmin, ymin, xmax - xmin, ymax - ymin) 
 
    def run(self): 
        hist = cv.CreateHist([180], cv.CV_HIST_ARRAY, [(0,180)], 1 ) 
        backproject_mode = False 
        while True: 
            frame = cv.QueryFrame( self.capture ) 
 
            # Convert to HSV and keep the hue 
            hsv = cv.CreateImage(cv.GetSize(frame), 8, 3) 
            cv.CvtColor(frame, hsv, cv.CV_BGR2HSV) 
            self.hue = cv.CreateImage(cv.GetSize(frame), 8, 1) 
            cv.Split(hsv, self.hue, None, None, None) 
 
            # Compute back projection 
            backproject = cv.CreateImage(cv.GetSize(frame), 8, 1) 
 
            # Run the cam-shift 
            cv.CalcArrBackProject( [self.hue], backproject, hist ) 
            if self.track_window and is_rect_nonzero(self.track_window): 
                crit = ( cv.CV_TERMCRIT_EPS | cv.CV_TERMCRIT_ITER, 10, 1) 
                (iters, (area, value, rect), track_box) = cv.CamShift(backproject, self.track_window, crit) 
                self.track_window = rect 
 
            # If mouse is pressed, highlight the current selected rectangle 
            # and recompute the histogram 
 
            if self.drag_start and is_rect_nonzero(self.selection): 
                sub = cv.GetSubRect(frame, self.selection) 
                save = cv.CloneMat(sub) 
                cv.ConvertScale(frame, frame, 0.5) 
                cv.Copy(save, sub) 
                x,y,w,h = self.selection 
                cv.Rectangle(frame, (x,y), (x+w,y+h), (255,255,255)) 
 
                sel = cv.GetSubRect(self.hue, self.selection ) 
                cv.CalcArrHist( [sel], hist, 0) 
                (_, max_val, _, _) = cv.GetMinMaxHistValue( hist) 
                if max_val != 0: 
                    cv.ConvertScale(hist.bins, hist.bins, 255. / max_val) 
            elif self.track_window and is_rect_nonzero(self.track_window): 
                cv.EllipseBox( frame, track_box, cv.CV_RGB(255,0,0), 3, cv.CV_AA, 0 ) 
 
            if not backproject_mode: 
                cv.ShowImage( "CamShiftDemo", frame ) 
            else: 
                cv.ShowImage( "CamShiftDemo", backproject) 
            cv.ShowImage( "Histogram", self.hue_histogram_as_image(hist)) 
 
            c = cv.WaitKey(7) % 0x100 
            if c == 27: 
                break 
            elif c == ord("b"): 
                backproject_mode = not backproject_mode 
 
if __name__=="__main__": 
    demo = CamShiftDemo() 
    demo.run() 
    cv.DestroyAllWindows() 
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source code lengkap download di sini 
<button onclick="window.location='https://github.com/daniahmad92/python'">Download</button> 
<a href="http://php-dasar/">php-dasar</a>

facedetection menggunakan Camshift

ingin membuat sistem pengenalan wajah dengan menggunakn python ? berikut adalah source code chamsift yang ditulis dengan menggunakan bahasa python perlu diperhatikan kalau kode ini menggunakan library opencv dan numpy, #!C:\Python27\python import cv2.cv as cv import numpy def is_rect_nonzero(r): …

18Aug2016

facedetection menggunakan Camshift

facedetection menggunakan Camshift

18Aug2016

Export to Excel menggunakan Templeting VB.NET

selamat malam gan.... 
kali inii ane mau membahas cara membuat laporan dengan menggunakan templet ms excel. mengapa kita harus menggunakan templet?? ya....agar lebih mudah aja gan penerapannya  jika di dalam laporan kita terdapat banyak headeratau beberapa penempatan header yang sesuai dengan kebutuha atau custome header. dikatakan lebih mudah di sini karena hanya memanggil sebuah templet yang sudah kita siapkan kemudian mengisi kolom kolom yang sesuai dengan kebutuhan laporan kita... 
langsung aja gan kita kerjakan ....yapps 
 
langkah 1 : 
buka ms excel dan buat data kemudian simpan dalam bentuk templet (Excel 97-2003 Templet) 
 
langkah ke 2 : 
buka laman kerja vb nya gan 
tambahkan reference Microsoft.Office.Interop.Excel 
 
langkah ke 3 : 
buat form designnya juga gan 
 
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjEiQucNJsKOBZzmYeCBXIL_H2TQpPbn6d97h08RbkkUeSfeds3yYNtdTBBjp-ixovlnZg2sqtgd79fPhLVRNPdc7-E8TgqdhK885fNnqSh0LwCUomfmseRdSiNs68tNzVbO0bS_cSPteQ/s1600/1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="187" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjEiQucNJsKOBZzmYeCBXIL_H2TQpPbn6d97h08RbkkUeSfeds3yYNtdTBBjp-ixovlnZg2sqtgd79fPhLVRNPdc7-E8TgqdhK885fNnqSh0LwCUomfmseRdSiNs68tNzVbO0bS_cSPteQ/s320/1.png" width="320" /></a></div>
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langkah ke 4 :</div>
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 tuliskan kodingannya gan ...</div>
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Imports Excel = Microsoft.Office.Interop.Excel 
Public Class Form1</div>
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    Private Sub Form1_Load(sender As Object, e As EventArgs) Handles MyBase.Load</div>
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    End Sub</div>
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    Private Sub btn_cetak_Click(sender As Object, e As EventArgs) Handles btn_cetak.Click 
        Dim excel_App As Excel.Application 
        Dim excel_WorkBook As Excel.Workbook 
        Dim excel_WorkSheet As Excel.Worksheet 
        Dim misvalue As Object = System.Reflection.Missing.Value 
        excel_App = New Excel.Application 
        excel_WorkBook = excel_App.Workbooks.Open("E:\latihan visual studio\Templet Excel.xlt") 
        excel_WorkSheet = excel_WorkBook.Worksheets(1) 
        excel_WorkSheet = excel_WorkBook.Sheets("sheet1") 
        excel_WorkSheet.Cells(3, 2) = txt_nama.Text 
        excel_WorkSheet.Cells(4, 2) = txt_alamat.Text 
        excel_App.Visible = True</div>
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    End Sub 
End Class</div>
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langkah ke 6 :</div>
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jalankan programnya gan....</div>
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udah dulu ya gan/.......ane mau tidur dulu

Export to Excel menggunakan Templeting VB.NET

selamat malam gan.... kali inii ane mau membahas cara membuat laporan dengan menggunakan templet ms excel. mengapa kita harus menggunakan templet?? ya....agar lebih mudah aja gan penerapannya jika di dalam laporan kita terdapat banyak headeratau beberapa penempatan header yang sesuai dengan kebutuh…

29Jun2016

membaca tulisan di ms excel dan di tampilkan di VB.NET

berjumpa kembali dengan ane gan.... 
kali ini ane mau membahas tentang cara membaca tulisan di ms excel dan di tampilkan di VB.NET. 
caranya begini gan : 
 
langkah ke1: 
buat satu workbook dokumen ms excel dan simpan dengan nama Baca Excel 
isikan pada kolom 1 dengan tulisan Selamat Datang di Ms Excel 
 
langkah ke 2: 
buka halaman kerja visual basic windows form app 
untuk mengaktifkan object ms excel pada vb, maka kita harus menambahkan reference object tersebut. 
pilih Microsoft.Office.Interop.Excel pada jendela Reference 
 
langkah ke 3: 
buat form design nya gan 
 
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEikEI7FR1b5AqqyKoRwq8dBSrqpPwjDDpalcKhyphenhyphentjQt-uYD_xIw_pmeOtmuoVnT0iv0QPIpMQ-xURjgX5oweOV-46rZs-S3f9OSpuhL9sSgQ0hvq3cg5GMkrkh2xYyMpluwkeDQuWa4MxA/s1600/1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="187" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEikEI7FR1b5AqqyKoRwq8dBSrqpPwjDDpalcKhyphenhyphentjQt-uYD_xIw_pmeOtmuoVnT0iv0QPIpMQ-xURjgX5oweOV-46rZs-S3f9OSpuhL9sSgQ0hvq3cg5GMkrkh2xYyMpluwkeDQuWa4MxA/s320/1.png" width="320" /></a></div>
 
 
langkah ke 4: 
sekarang saatnya mengcoding gan.... 
Imports Excel = Microsoft.Office.Interop.Excel 
Public Class Form1 
    Public Function baca_excel(ByVal filename As String, ByVal sheetname As String, ByVal row As Integer, ByVal column As Integer) 
        Dim excel_App As Excel.Application 
        Dim excel_WorkBook As Excel.Workbook 
        Dim excel_WorkSheet As Excel.Worksheet 
        excel_App = New Excel.Application 
        excel_WorkBook = excel_App.Workbooks.Open(filename) 
        excel_WorkSheet = excel_WorkBook.Sheets(sheetname) 
        Dim value As String 
        value = excel_WorkSheet.Cells(row, column).value 
        excel_WorkBook.Close() 
        excel_App.Quit() 
        Return value 
 
    End Function 
    Private Sub Form1_Load(sender As Object, e As EventArgs) Handles MyBase.Load 
    End Sub 
    Private Sub Button1_Click(sender As Object, e As EventArgs) Handles Button1.Click 
        MsgBox(baca_excel("E:\latihan visual studio\Baca Excel.xlsx", "sheet1", 1, 1)) 
    End Sub 
End Class 
 
 
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<div>
note: perlu di ingat bahwa yang dibaca oleh program dari ms excel adalah kolom 1 baris 1. </div>
<div>
MsgBox(baca_excel("E:\latihan visual studio\Baca Excel.xlsx", "sheet1", 1, 1)</div>
<div>
jika anda ingin membacaisi atau nilai pada kolom atau baris yang lain, sesuaikan angka - angka tersebut gan</div>
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langkah ke 5 :</div>
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jalankan aplikasinya gan </div>
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selamat mencoba gan....</div>
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membaca tulisan di ms excel dan di tampilkan di VB.NET

berjumpa kembali dengan ane gan.... kali ini ane mau membahas tentang cara membaca tulisan di ms excel dan di tampilkan di VB.NET. caranya begini gan : langkah ke1: buat satu workbook dokumen ms excel dan simpan dengan nama Baca Excel isikan pada kolom 1 dengan tulisan Selamat Datang di Ms Excel lan…

29Jun2016

export to excel menggunakan VB.NET

OK gan, kali ini ane mau ngebahas cara membuat laporan atau mencetak laporan dalam bentuk excel. 
langsung aja gan... 
langkah ke 1: 
buka dulu tampilan kerja visual basic nya (windows form app ) 
simpan dengan nama laporan excel 
langkah ke 2: 
untuk mengaktifkan objek ms excel di vb, kita harus menambahkan Reference Object Microsoft.Office.Interop.Excel 
langkah ke 3 : 
buat design formnya seperti gambar berikut 
 
 
 
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjZ1qmlTDep6zX2iM_Ux3fhHejmq_6BIUX_yyikd3GpqucGdc6hTF0-t7UKJVnelU_Gso-7163z9z5ikYBbrc8Pi7N3ZapCkK5Q4w8Lo5htgyEFjEcr90WqOHZgL2IKca94T-j6x0HBmkM/s1600/1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="187" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjZ1qmlTDep6zX2iM_Ux3fhHejmq_6BIUX_yyikd3GpqucGdc6hTF0-t7UKJVnelU_Gso-7163z9z5ikYBbrc8Pi7N3ZapCkK5Q4w8Lo5htgyEFjEcr90WqOHZgL2IKca94T-j6x0HBmkM/s320/1.png" width="320" /></a></div>
 
langkah 4: 
tulis codingannya gan, berikut adalah view code dari project kali ini 
 
 
Imports Excel = Microsoft.Office.Interop.Excel 
Public Class Form1 
    Private Sub Button1_Click(sender As Object, e As EventArgs) Handles excel.Click 
        Dim excel_App As Excel.Application 
        Dim excel_WorkBook As Excel.Workbook 
        Dim exel_WorkSheet As Excel.Worksheet 
        Dim misValue As Object = System.Reflection.Missing.Value 
        excel_App = New Excel.Application 
        excel_WorkBook = excel_App.Workbooks.Add(misValue) 
        exel_WorkSheet = excel_WorkBook.Sheets("sheet1") 
        exel_WorkSheet.Cells(1, 1) = "selamat bos anda berhasil" 
        exel_WorkSheet.SaveAs("E:\latihan visual studio\vbexcel.xlsx") 
        excel_WorkBook.Close() 
        excel_App.Quit() 
        If MsgBox("file excel sukses di cetak, silahkan cek file tersebut di drive E:\latihan visual studio", MsgBoxStyle.OkOnly) = MsgBoxResult.Ok Then 
            End 
        End If 
    End Sub 
End Class 
 
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<div>
langkah ke 5:</div>
<div>
jalankan (run) aplikasi tersebut dan klik tombol Cetak Dokumen Excel setelah program dijalankan </div>
<div>
hasil dari proses tersebut adalah aplikasi akan mencetak dokumen Ms Excel dan file tersebut dapat dilihat dari lokasi data yang anda buat gan </div>
<div>
 </div>
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selamat mencoba gan</div>
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export to excel menggunakan VB.NET

OK gan, kali ini ane mau ngebahas cara membuat laporan atau mencetak laporan dalam bentuk excel. langsung aja gan... langkah ke 1: buka dulu tampilan kerja visual basic nya (windows form app ) simpan dengan nama laporan excel langkah ke 2: untuk mengaktifkan objek ms excel di vb, kita harus menambah…

29Jun2016

tes koneksi visual basic dengan mysql dari xampp

bagaimana   cara mengkoneksikan visual basic dengan data yang ada di MySQL xampp? 
pastikan agan sudah menginstal visual studio dan xampp. 
 
 
tambahkan referensi MySQL.Data di References 
buat dulu form designnya seperti pada gambar dibawah ini 
 
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiB3LFalZD3KQ6kTX7sAfCFi7yWYA-_xQQXxXFzNT1Mfl64FqfmR6abjSOWMoZvTB4CMA6woAPtKVS-HTiu7I37oipGXmArEdhXwJFIfgof_OTJRX_qhh-uIT-es2tC2LKB-GQBtqSFYhE/s1600/vb.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="187" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiB3LFalZD3KQ6kTX7sAfCFi7yWYA-_xQQXxXFzNT1Mfl64FqfmR6abjSOWMoZvTB4CMA6woAPtKVS-HTiu7I37oipGXmArEdhXwJFIfgof_OTJRX_qhh-uIT-es2tC2LKB-GQBtqSFYhE/s320/vb.png" width="320" /></a></div>
 
 
source code nya 
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLLMQ983IffioPruti8QyFOnKbJlSzy2Td7dyFyb3RObjXpqLOcbmwUsHbAi2CtGhyphenhyphen9aq3NrHlZaORli33EO9sqq806zbLGJ3g7Dr9SNnSkbVESal1AP8-2AcS8JQJ7Cc5VDYPHpPl0a4/s1600/vb1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="187" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLLMQ983IffioPruti8QyFOnKbJlSzy2Td7dyFyb3RObjXpqLOcbmwUsHbAi2CtGhyphenhyphen9aq3NrHlZaORli33EO9sqq806zbLGJ3g7Dr9SNnSkbVESal1AP8-2AcS8JQJ7Cc5VDYPHpPl0a4/s320/vb1.png" width="320" /></a></div>
 
 
Imports MySql.Data.MySqlClient 
Public Class Form1 
    Private Sub Form1_Load(sender As Object, e As EventArgs) Handles MyBase.Load 
    End Sub 
    Private Sub Button1_Click(sender As Object, e As EventArgs) Handles Button1.Click 
        Dim MySQLConnection As New MySqlConnection("host=127.0.0.1; user=root;database=sia_sekolahdb ") 
        Try 
            MySQLConnection.Open() 
            MessageBox.Show("terhubung gan") 
 
        Catch ex As Exception 
            MessageBox.Show(ex.Message) 
        End Try 
    End Sub 
End Class 
 
 
jika sudah berhasil terkoneksi , tampilannya begini gan 
 
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1rU_ac-EbOUFU1SBNScUXxqaXuNvYJjIHMyuY_MoPQVsvfSzWO8EzIDXuIRHyPnWdftIh48ZVznB-wd7PVkITYBfz5zEL1hbig5qTywQkmRIRXUqWulOUPdj4LVcJ2bzw-csF07DS2zk/s1600/vb2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="187" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1rU_ac-EbOUFU1SBNScUXxqaXuNvYJjIHMyuY_MoPQVsvfSzWO8EzIDXuIRHyPnWdftIh48ZVznB-wd7PVkITYBfz5zEL1hbig5qTywQkmRIRXUqWulOUPdj4LVcJ2bzw-csF07DS2zk/s320/vb2.png" width="320" /></a></div>
 
ini video tutorialnya  gan 
 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/UQ_C8c6rev8/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/UQ_C8c6rev8?feature=player_embedded" width="320"></iframe></div>

tes koneksi visual basic dengan mysql dari xampp

bagaimana cara mengkoneksikan visual basic dengan data yang ada di MySQL xampp? pastikan agan sudah menginstal visual studio dan xampp. tambahkan referensi MySQL.Data di References buat dulu form designnya seperti pada gambar dibawah ini source code nya Imports MySql.Data.MySqlClient Public Class …

29Jun2016

tes koneksi visual basic dengan mysql dari xampp

tes koneksi visual basic dengan mysql dari xampp

29Jun2016

Bandung Command Center

pernah dengar kata "bandung juara " ? yaapp...bandung hadir dengan inovasinya. yang kita sebut sebagai " bandung command center. apa sih command center itu? orang bandung bilah sih .....nih gedung mirip ruangan tony stark yang di film iron man ...apa iya ? dari pada penasaran , mending nonton lagi aja gan,,,dari pada bengong .... 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/-CWnN_lPozQ/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/-CWnN_lPozQ?feature=player_embedded" width="320"></iframe></div>
 
 
apa kata pak emil tentang bandung command center ini.... 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/Gqn3tXEuoKg/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/Gqn3tXEuoKg?feature=player_embedded" width="320"></iframe></div>
 
kalau dibandingkan dengan  di film film iron man gimana menurut ente gan? 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/Wx7RCJvoCMc/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/Wx7RCJvoCMc?feature=player_embedded" width="320"></iframe></div>
 
semoga tidak hanya bandung, kota kota yang lainnya semoga bisa lebih baik.

Bandung Command Center

28Jun2016

face recognition cctv

face recognition cctv

face recognition merupakan salah satu kajian dari system kecerdasan buatan khususnya robot vision... nampaknya kita ketinggalan ya gan ?system ini sudah di pakai diluar negeri sana...kalau di kita kapan gan? pokoke tonnton aja dulu gan video berikut ini, semoga menginspirasi gimana gan, ada hasrat …

28Jun2016

voice recognition

dunia semakin berkembang...teknologi pun semakin melesat....kaya yang satu ini nih gan, yah kaya di film film ironman gitu deh gan, sistemnya menggunakan voice recognition seperti Jarvis, penasaran? monggo tonton video berikut ini gan 
selamat menyaksikan , .. 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/F-YbZdaALHE/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/F-YbZdaALHE?feature=player_embedded" width="320"></iframe></div>
 
 
agan agan semua juga bisa kok bikin programmnya ...ikuti aja tutorial berikut.....karna software mako program yang diatas itu tuh gan harus bayar kalau mau coba...tak kalah hebatnya dengan mako, zira pun mengkodinya dengan visual c sharp, nampaknya agak mudah gan... 
<div class="separator" style="clear: both; text-align: center;">
<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/B4P7KNsrNRU/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/B4P7KNsrNRU?feature=player_embedded" width="320"></iframe></div>
 
 
saya pun pernah mencoba program ini..namun saya mencoba untuk dikombinasikan dengan Arduino. penasaran? mangga di tontong saja video berikut ini 
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/8XExM0X18XI/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/8XExM0X18XI?feature=player_embedded" width="320"></iframe></div>
 
 
dunia akan semakin nyaman jika semua teknologi kita kendalikan dengan menggunakan  system kecerdasan buatan

voice recognition

28Jun2016

sistem keamanan rumah

sistem keamanan rumah

system keamanan rumah...nampaknya boleh dicoba tuh gan…

28Jun2016

fingerprint arduino source code

<div class="separator" style="clear: both; text-align: center;">
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source codenya  ini......</div>
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#include <Adafruit_Fingerprint.h> 
#include <SoftwareSerial.h></div>
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int getFingerprintIDez();</div>
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<div>
// pin #2 is IN from sensor (GREEN wire) 
// pin #3 is OUT from arduino  (WHITE wire) 
SoftwareSerial mySerial(2, 3); 
Adafruit_Fingerprint finger = Adafruit_Fingerprint(&mySerial);</div>
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 </div>
<div>
// On Leonardo/Micro or others with hardware serial, use those! #0 is green wire, #1 is white 
//Adafruit_Fingerprint finger = Adafruit_Fingerprint(&Serial1);</div>
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 </div>
<div>
void setup()  
{ 
  while (!Serial);  // For Yun/Leo/Micro/Zero/... 
  
  Serial.begin(9600); 
  Serial.println("Adafruit finger detect test");</div>
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 </div>
<div>
  // set the data rate for the sensor serial port 
  finger.begin(57600); 
  
  if (finger.verifyPassword()) { 
    Serial.println("Found fingerprint sensor!"); 
  } else { 
    Serial.println("Did not find fingerprint sensor :("); 
    while (1); 
  } 
  Serial.println("Waiting for valid finger..."); 
}</div>
<div>
 </div>
<div>
void loop()                     // run over and over again 
{ 
  getFingerprintIDez(); 
  delay(50);            //don't ned to run this at full speed. 
}</div>
<div>
 </div>
<div>
uint8_t getFingerprintID() { 
  uint8_t p = finger.getImage(); 
  switch (p) { 
    case FINGERPRINT_OK: 
      Serial.println("Image taken"); 
      break; 
    case FINGERPRINT_NOFINGER: 
      Serial.println("No finger detected"); 
      return p; 
    case FINGERPRINT_PACKETRECIEVEERR: 
      Serial.println("Communication error"); 
      return p; 
    case FINGERPRINT_IMAGEFAIL: 
      Serial.println("Imaging error"); 
      return p; 
    default: 
      Serial.println("Unknown error"); 
      return p; 
  }</div>
<div>
 </div>
<div>
  // OK success!</div>
<div>
 </div>
<div>
  p = finger.image2Tz(); 
  switch (p) { 
    case FINGERPRINT_OK: 
      Serial.println("Image converted"); 
      break; 
    case FINGERPRINT_IMAGEMESS: 
      Serial.println("Image too messy"); 
      return p; 
    case FINGERPRINT_PACKETRECIEVEERR: 
      Serial.println("Communication error"); 
      return p; 
    case FINGERPRINT_FEATUREFAIL: 
      Serial.println("Could not find fingerprint features"); 
      return p; 
    case FINGERPRINT_INVALIDIMAGE: 
      Serial.println("Could not find fingerprint features"); 
      return p; 
    default: 
      Serial.println("Unknown error"); 
      return p; 
  } 
  
  // OK converted! 
  p = finger.fingerFastSearch(); 
  if (p == FINGERPRINT_OK) { 
    Serial.println("Found a print match!"); 
  } else if (p == FINGERPRINT_PACKETRECIEVEERR) { 
    Serial.println("Communication error"); 
    return p; 
  } else if (p == FINGERPRINT_NOTFOUND) { 
    Serial.println("Did not find a match"); 
    return p; 
  } else { 
    Serial.println("Unknown error"); 
    return p; 
  }   
  
  // found a match! 
  Serial.print("Found ID #"); Serial.print(finger.fingerID); 
  Serial.print(" with confidence of "); Serial.println(finger.confidence); 
}</div>
<div>
 </div>
<div>
// returns -1 if failed, otherwise returns ID # 
int getFingerprintIDez() { 
  uint8_t p = finger.getImage(); 
  if (p != FINGERPRINT_OK)  return -1;</div>
<div>
 </div>
<div>
  p = finger.image2Tz(); 
  if (p != FINGERPRINT_OK)  return -1;</div>
<div>
 </div>
<div>
  p = finger.fingerFastSearch(); 
  if (p != FINGERPRINT_OK)  return -1; 
  
  // found a match! 
  Serial.print("Found ID #"); Serial.print(finger.fingerID); 
  Serial.print(" with confidence of "); Serial.println(finger.confidence); 
  return finger.fingerID; 
}</div>

fingerprint arduino source code

source codenya ini...... #include #include int getFingerprintIDez(); // pin #2 is IN from sensor (GREEN wire) // pin #3 is OUT from arduino (WHITE wire) SoftwareSerial mySerial(2, 3); Adafruit_Fingerprint finger = Adafruit_Fingerprint(&mySerial); // On Leonardo/Micro or others with hardware ser…

28Jun2016

control motor using face camera

<img alt="" height="240" src="data:image/png;base64,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" width="320" /> 
using System; 
using System.Collections.Generic; 
using System.Drawing; 
using System.Windows.Forms; 
using Emgu.CV; 
using Emgu.CV.Structure; 
using Emgu.CV.CvEnum; 
using System.IO; 
using System.Diagnostics; 
using System.Media; 
using System.Net.Sockets; 
using DirectShowLib; 
using System.IO.Ports; 
 
 
namespace MultiFaceRec 
{ 
    public partial class FrmPrincipal : Form 
    { 
        //Declararation of all variables, vectors and haarcascades 
        Image<Bgr, Byte> currentFrame; 
        Capture grabber; 
        HaarCascade face; 
        HaarCascade eye; 
        MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d); 
        Image<Gray, byte> result, TrainedFace = null; 
        Image<Gray, byte> gray = null; 
        List<Image<Gray, byte>> trainingImages = new List<Image<Gray, byte>>(); 
        List<string> labels= new List<string>(); 
        List<string> NamePersons = new List<string>(); 
        int ContTrain, NumLabels, t; 
        string name, names = null; 
        bool CapturingProcess = false; 
        TcpClient _tcpClient = null; 
        bool CapRunning = false; 
        private int _CameraIndex; 
        bool CamAuto = false; 
        bool ConnectAuto = false; 
        string revision = "3.7.14"; 
 
 
 
        public FrmPrincipal() 
        { 
            InitializeComponent(); 
            //Load haarcascades for face detection 
            face = new HaarCascade("haarcascade_frontalface_default.xml"); 
            //eye = new HaarCascade("haarcascade_eye.xml"); 
            try 
            { 
                //Load of previus trainned faces and labels for each image 
                string Labelsinfo = File.ReadAllText(Application.StartupPath + "/TrainedFaces/TrainedLabels.txt"); 
                string[] Labels = Labelsinfo.Split('%'); 
                NumLabels = Convert.ToInt16(Labels[0]); 
                ContTrain = NumLabels; 
                string LoadFaces; 
 
                for (int tf = 1; tf < NumLabels+1; tf++) 
                { 
                    LoadFaces = "face" + tf + ".bmp"; 
                    trainingImages.Add(new Image<Gray, byte>(Application.StartupPath + "/TrainedFaces/" + LoadFaces)); 
                    labels.Add(Labels[tf]); 
                } 
            } 
            catch(Exception e) 
            { 
                //MessageBox.Show(e.ToString()); 
                MessageBox.Show("No faces have been trained. Please add at least a face (train with the Add face Button).", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Exclamation); 
            } 
        } 
 
 
 
        private void button1_Click(object sender, EventArgs e) 
        { 
            //Set the camera number to the one selected via combo box 
            //This method is no longer used, DirectShow to display device name is now used 
             //int CamNumber = -1; 
             //CamNumber = int.Parse(cbCamIndex.Text); 
         
            //This is for reading faces from a video file, for testing only at this time 
             //String sFileName = @"c:\test.mp4";  //this work with new opencv_ffmpeg290.dll in the bin folder 
             //grabber = new Capture(sFileName);  //this works, but crashes the app once movie stops 
 
            //Initialize the capture device 
            grabber = new Capture(_CameraIndex); 
            grabber.QueryFrame(); 
            //Initialize the FrameGraber event 
            Application.Idle += new EventHandler(FrameGrabber); 
            button1.Enabled = false; 
            CapturingProcess = true; 
            btn_stop_capture.Enabled = true; 
            groupBox1.Enabled = true; 
            CapRunning = true; 
        } 
 
 
        private void button2_Click(object sender, System.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(textBox1.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] + "%"); 
                } 
 
                MessageBox.Show(textBox1.Text + "´s face detected and added.", "Training OK", MessageBoxButtons.OK, MessageBoxIcon.Information); 
            } 
            catch 
            { 
                MessageBox.Show("Enable the face detection first.", "Training Fail", MessageBoxButtons.OK, MessageBoxIcon.Exclamation); 
            } 
        } 
 
 
        void FrameGrabber(object sender, EventArgs e) 
        { 
            label3.Text = "0"; 
            //label4.Text = ""; 
            NamePersons.Add(""); 
 
            //This is where the app most often encounters critical errors 
            //Get the current frame form capture device 
            currentFrame = grabber.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC); 
 
                    //Convert it to Grayscale 
                    gray = currentFrame.Convert<Gray, Byte>(); 
 
                    //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]) 
                    { 
                        t = t + 1; 
                        result = currentFrame.Copy(f.rect).Convert<Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC); 
                        //draw the face detected in the 0th (gray) channel with blue color 
                        currentFrame.Draw(f.rect, new Bgr(Color.Red), 2); 
 
 
                        if (trainingImages.ToArray().Length != 0) 
                        { 
                            //TermCriteria for face recognition with numbers of trained images like maxIteration 
                        MCvTermCriteria termCrit = new MCvTermCriteria(ContTrain, 0.001); 
 
                        //Eigen face recognizer 
                        EigenObjectRecognizer recognizer = new EigenObjectRecognizer( 
                           trainingImages.ToArray(), 
                           labels.ToArray(), 
                           3000, 
                           ref termCrit); 
 
                        name = recognizer.Recognize(result); 
 
                            //Draw the label for each face detected and recognized 
                        currentFrame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.LightGreen)); 
 
                        } 
 
                            NamePersons[t-1] = name; 
                            NamePersons.Add(""); 
 
 
                        //Set the number of faces detected on the scene 
                        label3.Text = facesDetected[0].Length.ToString(); 
                       
                        /* 
                        //Set the region of interest on the faces 
                        
                        gray.ROI = f.rect; 
                        MCvAvgComp[][] eyesDetected = gray.DetectHaarCascade( 
                           eye, 
                           1.1, 
                           10, 
                           Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, 
                           new Size(20, 20)); 
                        gray.ROI = Rectangle.Empty; 
 
                        foreach (MCvAvgComp ey in eyesDetected[0]) 
                        { 
                            Rectangle eyeRect = ey.rect; 
                            eyeRect.Offset(f.rect.X, f.rect.Y); 
                            currentFrame.Draw(eyeRect, new Bgr(Color.Blue), 2); 
                        } 
                         */ 
 
                    } 
                        t = 0; 
 
                        //Names concatenation of persons recognized 
                    for (int nnn = 0; nnn < facesDetected[0].Length; nnn++) 
                    { 
                        names = names + NamePersons[nnn] + ", "; 
                    } 
                    //Show the faces procesed and recognized 
                    imageBoxFrameGrabber.Image = currentFrame; 
                    label4.Text = names; 
            //This logs the faces recognized 
            if (String.IsNullOrEmpty(names)) 
            { 
                textBox2.Text = "off"; 
                string m = comboBox1.Text.ToString(); 
                string s = textBox2.Text.ToString(); 
                sErial(m, s); 
            } 
            else 
            { 
                File.AppendAllText(Application.StartupPath + "/RecognitionLog/facelog.txt", 
                         names + DateTime.Now.ToString() + Environment.NewLine); 
                textBox2.Text = "on"; 
                string m = comboBox1.Text.ToString(); 
                string s = textBox2.Text.ToString(); 
                sErial(m, s); 
            } 
 
            // 
            //This sends the name automatically - this needs to be enabled or disabled 
            // 
               tbX.Text = "\"" + names + "\""; 
                 btnSetX.PerformClick(); //sends the informations to EZ-Builder 
    //btngetX.PerformClick(); //gets the information from EZ-Builder - this works by only until recognition stops 
            //This clears the name value for the next face to be recognized 
               names = ""; 
            //Clear the list(vector) of names 
               NamePersons.Clear(); 
 
                } 
 
        private void FrmPrincipal_Load(object sender, EventArgs e) 
        { 
            this.Text = "EZ-Face " + revision; 
            //cbCamIndex.Items.AddRange(Camera.GetVideoCaptureDevices()); 
            tbLog.Visible = false; 
            groupBox1.Enabled = false; 
            loadUserSettingsToolStripMenuItem.PerformClick(); 
            timer1.Start(); 
            timer2.Start(); 
                if (File.Exists(Application.StartupPath + "/RecognitionLog/facelog.txt")) 
                { 
                    var fileName = (Application.StartupPath + "/RecognitionLog/facelog.txt"); 
                    FileInfo fi = new FileInfo(fileName); 
                    var size = fi.Length; 
                    lb_facename_file.Text = "Face Log File size:          " + size; 
                } 
                if (CamAuto == true) 
                { 
                    lb_autorun.Text = "Enabled"; 
                    button1.PerformClick(); 
                } 
                else 
                { 
                    lb_autorun.Text = "Disabled"; 
                } 
                if (ConnectAuto == true) 
                { 
                    lb_autoconnect.Text = "Enabled"; 
                    btnConnect.PerformClick(); 
                } 
                else 
                { 
                    lb_autoconnect.Text = "Disabled"; 
                } 
               
 
 
        } 
 
        private void Log(object txt, params object[] vals) 
        { 
            tbLog.AppendText(string.Format(txt.ToString(), vals)); 
            tbLog.AppendText(Environment.NewLine); 
        } 
 
        private void btnConnect_Click(object sender, EventArgs e) 
        { 
            tbLog.Visible = true; 
            try 
            { 
                if (_tcpClient != null) 
                    disconnect(); 
                else 
                    connect(); 
            } 
            catch (Exception ex) 
            { 
                Log("Error performing connection action: {0}", ex); 
            } 
        } 
 
        private void disconnect() 
        { 
            if (_tcpClient != null) 
                _tcpClient.Close(); 
            _tcpClient = null; 
            btnConnect.Text = "Connect"; 
            Log("Disconnected"); 
            tbLog.Visible = false; 
        } 
 
        private void connect() 
        { 
            int port = Convert.ToInt32(tbPort.Text); 
            Log("Attempting Connection to {0}:{1}", tbAddress.Text, port); 
            _tcpClient = new TcpClient(); 
            IAsyncResult ar = _tcpClient.BeginConnect(tbAddress.Text, port, null, null); 
            System.Threading.WaitHandle wh = ar.AsyncWaitHandle; 
 
            try 
            { 
                if (!ar.AsyncWaitHandle.WaitOne(TimeSpan.FromSeconds(3), false)) 
                { 
                    _tcpClient.Close(); 
                    throw new TimeoutException(); 
                } 
 
                _tcpClient.EndConnect(ar); 
            } 
            finally 
            { 
                wh.Close(); 
            } 
 
            _tcpClient.NoDelay = true; 
            _tcpClient.ReceiveTimeout = 2000; 
            _tcpClient.SendTimeout = 2000; 
            btnConnect.Text = "Disconnect"; 
            Log("Connected"); 
            Log(readResponseLine()); 
        } 
 
        private string sendCommand(string cmd) 
        { 
            try 
            { 
                Log("Sending: {0}", cmd); 
                clearInputBuffer(); 
                _tcpClient.Client.Send(System.Text.Encoding.ASCII.GetBytes(cmd + Environment.NewLine)); 
                return readResponseLine();  //original exampled used this:  Log(readResponseLine()); 
            } 
            catch (Exception ex) 
            { 
                Log("Command Error: {0}", ex); 
                disconnect(); 
            } 
            return string.Empty; 
        } 
 
        /// <summary> 
        /// Clears any data in the tcp incoming buffer by reading the buffer into an empty byte array. 
        /// </summary> 
        private void clearInputBuffer() 
        { 
            if (_tcpClient.Available > 0) 
                _tcpClient.GetStream().Read(new byte[_tcpClient.Available], 0, _tcpClient.Available); 
        } 
 
        /// <summary> 
        /// Blocks and waits for a string of data to be sent. The string is terminated with a \r\n 
        /// </summary> 
        private string readResponseLine() 
        { 
            string str = string.Empty; 
            do 
            { 
 
                byte[] tmpBuffer = new byte[1024]; 
                _tcpClient.GetStream().Read(tmpBuffer, 0, tmpBuffer.Length); 
                str += System.Text.Encoding.ASCII.GetString(tmpBuffer); 
            } while (!str.Contains(Environment.NewLine)); 
 
            // Return only the first line if multiple lines were received 
            return str.Substring(0, str.IndexOf(Environment.NewLine)); 
        } 
 
 
        private void btnSetX_Click(object sender, EventArgs e) 
        { 
            sendCommand(string.Format("$FaceName = {0}", tbX.Text)); 
            
            
        } 
        void sErial(string Port_name, string data_Send) 
        { 
            SerialPort sp = new SerialPort(Port_name, 9600, Parity.None, 8, StopBits.One); 
            sp.Open(); 
 
            sp.Write(data_Send); 
            sp.Close(); 
        } 
        private void btn_stop_capture_Click(object sender, EventArgs e) 
        { 
            { 
                if (CapturingProcess == true) 
                { 
                    Application.Idle -= FrameGrabber; 
                    grabber.Dispose(); 
                    //Application.Exit();   //this closes the application 
                    //CapturingProcess = false; 
                    //playorpause.Text = "Play"; 
                } 
                else 
                { 
                    Application.Idle += FrameGrabber; 
                    //CapturingProcess = true; 
                    //playorpause.Text = "Pause"; 
                } 
            } 
            button1.Enabled = true; 
            btn_stop_capture.Enabled = false; 
            groupBox1.Enabled = false; 
            imageBoxFrameGrabber.Image = null;  //sets the image to blank 
            imageBox1.Image = null; //sets image to blank 
        } 
 
 
 
        private void deleteLearnedFacesToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            DialogResult d = MessageBox.Show("Are you sure you want to delete all learned faces?", "Question", MessageBoxButtons.YesNo, MessageBoxIcon.Question); 
 
                if (d == DialogResult.Yes) 
                { 
                    
                    if (CapRunning = true) 
                    { 
                        btn_stop_capture.PerformClick(); 
                    } 
                    Array.ForEach(Directory.GetFiles(Application.StartupPath + "/TrainedFaces"), File.Delete); 
                        button1.Enabled = false; 
                        DialogResult b = MessageBox.Show("You must close EZ-Face and re-open it for changes to take effect.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
                            if (b == DialogResult.OK) 
                            { 
                                Application.Exit(); 
                            } 
                } 
                else if (d == DialogResult.No) 
                { 
                    //Do nothing 
                } 
        } 
 
        private void aboutToolStripMenuItem1_Click(object sender, EventArgs e) 
        { 
            var aboutForm = new About(); 
            aboutForm.revision = revision; 
            aboutForm.Show(); 
        } 
 
        private void j2RScientificComToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            System.Diagnostics.Process.Start("http://www.J2RScientific.com"); 
        } 
 
        private void instructionsToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            if (File.Exists(@"C:\BotBrain\EZ-Face\Resources\ReadMe.txt")) 
            { 
                System.Diagnostics.Process.Start(@"C:\BotBrain\EZ-Face\Resources\ReadMe.txt"); 
            } 
            else 
            { 
                MessageBox.Show("I'm sorry. The ReadMe.txt file could not be found.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
            } 
            
        } 
 
        private void deleteLogOfDetectedFacesToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            DialogResult f = MessageBox.Show("Are you sure you want to delete facelog.txt file?", "Question", MessageBoxButtons.YesNo, MessageBoxIcon.Question); 
            if (f == DialogResult.Yes) 
            { 
                if (File.Exists(Application.StartupPath + "/RecognitionLog/facelog.txt")) 
                { 
                    File.Delete(Application.StartupPath + "/RecognitionLog/facelog.txt"); 
                } 
            } 
            
        } 
 
        private void viewSavedFacesToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            Process.Start(Application.StartupPath + "/TrainedFaces"); 
        } 
 
        private void viewLogOfDetectedFacesToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            if (File.Exists(Application.StartupPath + "/RecognitionLog/facelog.txt")) 
            { 
                System.Diagnostics.Process.Start(Application.StartupPath + "/RecognitionLog/facelog.txt"); 
            } 
            else 
            { 
                MessageBox.Show("I'm sorry. The facelog.txt file could not be found.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
            } 
        } 
 
        private void saveSettingsToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            string httpAddress = tbAddress.Text; 
            string portAddress = tbPort.Text; 
                if (File.Exists(Application.StartupPath + "/Settings/user_settings.txt"))    
                { 
                    File.Delete(Application.StartupPath + "/Settings/user_settings.txt"); 
                } 
            File.AppendAllText(Application.StartupPath + "/Settings/user_settings.txt", httpAddress.ToString() + Environment.NewLine); 
            File.AppendAllText(Application.StartupPath + "/Settings/user_settings.txt", portAddress.ToString() + Environment.NewLine); 
            File.AppendAllText(Application.StartupPath + "/Settings/user_settings.txt", _CameraIndex.ToString() + Environment.NewLine); 
            File.AppendAllText(Application.StartupPath + "/Settings/user_settings.txt", CamAuto.ToString() + Environment.NewLine); 
            File.AppendAllText(Application.StartupPath + "/Settings/user_settings.txt", ConnectAuto.ToString() + Environment.NewLine); 
            MessageBox.Show("Your user settings were saved.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
        } 
 
        private void loadUserSettingsToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            if (File.Exists(Application.StartupPath + "/Settings/user_settings.txt")) 
            { 
                string[] lines = System.IO.File.ReadAllLines(Application.StartupPath + "/Settings/user_settings.txt"); 
                for (int i = 0; i < lines.Length; i++) 
                { 
                    string line = lines[i]; 
                    tbAddress.Text = lines[0]; 
                    tbPort.Text = lines[1]; 
                    // _CameraIndex = lines[2]; 
                    //int _CameraIndex = Int32.Parse(lines[2]); 
                    _CameraIndex = Int32.Parse(lines[2]); 
                    CamAuto = bool.Parse(lines[3]); 
                    ConnectAuto = bool.Parse(lines[4]); 
                } 
            } 
            else 
            { 
                MessageBox.Show("I'm sorry. The user_settings.txt file could not be found.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
            } 
        } 
 
        private void timer1_Tick(object sender, EventArgs e) 
        { 
            if (File.Exists(Application.StartupPath + "/RecognitionLog/facelog.txt")) 
            { 
                var fileName = (Application.StartupPath + "/RecognitionLog/facelog.txt"); 
                FileInfo fi = new FileInfo(fileName); 
                var size = fi.Length; 
                lb_facename_file.Text = "Face Log File size:          " + size; 
 
                if (size > 1000000) //if file is greater then 1mb it will be deleted 
                { 
                    File.Delete(Application.StartupPath + "/RecognitionLog/facelog.txt"); 
                } 
            } 
 
 
        } 
 
        private void cbCamIndex_SelectedIndexChanged(object sender, EventArgs e) 
        { 
            //-> Get the selected item in the combobox 
             KeyValuePair<int, string> SelectedItem = (KeyValuePair<int, string>)cbCamIndex.SelectedItem; 
            //-> Assign selected cam index to defined var 
            _CameraIndex = SelectedItem.Key; 
        } 
 
        private void btn_refresh_camerlist_Click(object sender, EventArgs e) 
        { 
            //-> Create a List to store for ComboCameras 
            List<KeyValuePair<int, string>> ListCamerasData = new List<KeyValuePair<int, string>>(); 
            //-> Find systems cameras with DirectShow.Net dll 
            DsDevice[] _SystemCamereas = DsDevice.GetDevicesOfCat(FilterCategory.VideoInputDevice); 
            int _DeviceIndex = 0; 
            foreach (DirectShowLib.DsDevice _Camera in _SystemCamereas) 
            { 
                ListCamerasData.Add(new KeyValuePair<int, string>(_DeviceIndex, _Camera.Name)); 
                _DeviceIndex++; 
            } 
            //-> clear the combobox 
                cbCamIndex.DataSource = null; 
                cbCamIndex.Items.Clear(); 
            //-> bind the combobox 
                cbCamIndex.DataSource = new BindingSource(ListCamerasData, null); 
                cbCamIndex.DisplayMember = "Value"; 
                cbCamIndex.ValueMember = "Key"; 
            //DirectShowLib-2005 must be added as a reference in the bin folder 
        } 
 
        private void setCameraToAutoRunToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            CamAuto = true; 
            lb_autorun.Text = "Enabled"; 
            MessageBox.Show("Remember, please make sure all user settings are set to the correct values - then use the File/Save User Settings feature.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
        } 
 
        private void removeCameraAutoRunToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            CamAuto = false; 
            lb_autorun.Text = "Disabled"; 
            MessageBox.Show("Remember, please make sure all user settings are set to the correct values - then use the File/Save User Settings feature.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
        } 
 
        private void btngetX_Click(object sender, EventArgs e) 
        { 
            string retVal = sendCommand("print($EZfaceCMD)"); 
            tb_getX.Text = retVal; 
            Log(retVal); 
            if (retVal == "EZfaceSTOP") 
            { 
                if (button1.Enabled == false) 
                { 
                btn_stop_capture.PerformClick(); 
                } 
            } 
            if (retVal == "EZfaceSTART") 
            { 
                if (btn_stop_capture.Enabled == false) 
                { 
                    button1.PerformClick(); 
                } 
            } 
            if (retVal == "EZfaceCLOSE") 
            { 
                Application.Exit(); 
            } 
        } 
 
        private void setAutoConnectToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            ConnectAuto = true; 
            lb_autoconnect.Text = "Enabled"; 
            MessageBox.Show("This settings enables auto communication connection upon the application running.  Remember, please make sure all user settings are set to the correct values - then use the File/Save User Settings feature.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
        } 
 
        private void removeAutoConnectToolStripMenuItem_Click(object sender, EventArgs e) 
        { 
            ConnectAuto = false; 
            lb_autoconnect.Text = "Disabled"; 
            MessageBox.Show("This settings disables auto communication connection upon the application running.  Remember, please make sure all user settings are set to the correct values - then use the File/Save User Settings feature.", "EZ-Face Notice", MessageBoxButtons.OK, MessageBoxIcon.Asterisk); 
 
        } 
 
        private void timer2_Tick(object sender, EventArgs e) 
        { 
            btngetX.PerformClick(); 
        } 
 
        private void tbPort_TextChanged(object sender, EventArgs e) 
        { 
 
        } 
 
        private void tbX_TextChanged(object sender, EventArgs e) 
        { 
            
        } 
        
        private void button3_Click(object sender, EventArgs e) 
        { 
            string[] ports = SerialPort.GetPortNames(); 
            foreach (string port in ports) 
            { 
                comboBox1.Items.Add(port); 
            } 
        } 
 
        private void label3_Click(object sender, EventArgs e) 
        { 
 
        } 
      
   } 
}

control motor using face camera

using System; using System.Collections.Generic; using System.Drawing; using System.Windows.Forms; using Emgu.CV; using Emgu.CV.Structure; using Emgu.CV.CvEnum; using System.IO; using System.Diagnostics; using System.Media; using System.Net.Sockets; using DirectShowLib; using System.IO.Ports; namesp…

25Jan2016

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