Arduino Projects

Arduino Image processing CCTV camera system using

Arduino Image Processing CCTV Project Description:


In this Project “Arduino Image processing CCTV camera system”, you will learn how to make your own Arduino based CCTV camera system using image processing, Arduino Uno, and PIR sensor. In this tutorial “Visual Basic” will be used for making the image processing application. This application works together with the PIR sensor connected with Arduino Uno. Once the human is detected by the PIR sensor and also by the image processing application, then a picture is captured automatically and is saved in a folder.

This is the 2nd version of the image processing based project, while in version 1 of the image processing I used the image processing for opening and closing the entrance using the electronic lock. If you want to read an Image processing based entranced controlled system?


For the image processing application designing Visual Basic .net will be used. Image processing application designing in is really simple. In this application, the Frontal face XML file is used for human recognition. Once the human face is detected by the computer application and a signal from the Arduino is also received, then a picture will be taken automatically and will be saved in the desired folder.

Amazon Links:

12v Adaptor:

Arduino Uno

Arduino Nano

Mega 2560:

Mini Pir Sensor:

PIR Sensor Arduino:


Other Tools and Components:

Top Arduino Sensors:

Super Starter kit for Beginners

Digital Oscilloscopes

Variable Supply

Digital Multimeter

Soldering iron kits

PCB small portable drill machines


Please Note: these are affiliate links. I may make a commission if you buy the components through these links. I would appreciate your support in this way!

Arduino Ultrasonic Sensor interfacing, Circuit Diagram:

Arduino image processing

As you can see the circuit diagram is really easy, all you need is just to connect the PIR sensor with the Arduino Uno pin number 4, and the VCC and ground with the Arduino’s 5v and ground respectively.

Ultrasonic Sensor Arduino Programming:

Arduino Programming is very simple. I started by defining the pin for the PIR sensor. The PIR Sensor is connected with the Arduino’s Pin number 4. If you want you can use any other Pin. Then I defined another variable flag which is of the type integer. This variable is initially set to Zero. The variable flag will be used to stop the unnecessary repetition of code.

int pirsensor = 4; // pir sensor connected with 4
int flag = 0; 

the word void, when used before the function name, means that this function has no return type. If you look you will find the parenthesis are also empty, which means that this function is not taking any argument as the input. So the void setup function has no return type and it also does not take any argument as the input.

To active the Serial communication for this we use a function Serial.begin(), this is a built-in function and it takes one argument as the input, which is the baud rate. The PIR sensor is set to input using the pinMode function. the void setup function is executed only one time when the controller is turned ON.

void setup()
  pinMode(pirsensor, INPUT); 
  digitalWrite(pirsensor, LOW); 
  Serial.println("hi how are you"); 

The void loop function runs infinite times until you stop it. The void loop function also has no return type and it does not take any argument as the input.

As you can see clearly the void loop function consists of only two if conditions. the purpose of these if conditions are to find out if the PIR sensor has detected in movement and send the desired message to the computer application using the Serial.print function. You might have noticed one thing the flag status is changed each time. This is just to stop the unnecessary repetition and to send the message only one time when the human is detected.

void loop()

  if( (digitalRead(pirsensor) == HIGH)&& (flag == 0))
    Serial.print("intruder detected"); 
    flag = 1; 
  if( (digitalRead(pirsensor) == LOW)&& (flag == 1))
    Serial.println("no Intruder"); 
    flag = 0; 


Computer Image Processing Application:

For the application designing and program explanation, you can watch a video given at the end of this Article.

Imports Emgu.CV
Imports Emgu.CV.Util

Imports Emgu.CV.Structure
Imports System.Diagnostics

Imports System.IO
Imports System.IO.Ports
Imports System.Threading

Public Class Form1
    Dim count As Integer = 0

    Dim facedetected As Integer
    Dim facepresent As Integer
    Dim web As Capture = New Capture(0) ' camera number

    Private Sub Timer1_Tick(ByVal sender As System.Object, ByVal e As System.EventArgs) Handles Timer1.Tick

    End Sub

    Private Sub wait(ByVal interval As Integer)
        Dim sw As New Stopwatch
        Do While sw.ElapsedMilliseconds < interval
            ' Allows UI to remain responsive
    End Sub

    Sub faces()
        Dim photo As Image(Of Bgr, Byte)

        photo = web.RetrieveBgrFrame

        Dim currentCenter As New Point()

        Dim facedetection As New CascadeClassifier("C:\data\haarcascades\haarcascade_frontalface_default.xml") ' this one is for the face detection

        facedetected = 0

            Dim image As Image(Of Gray, Byte) = photo.Convert(Of Gray, Byte)()

            For Each face As Rectangle In facedetection.DetectMultiScale(image, 1.1, 8, Size.Empty, Size.Empty) ' default 1.1, 8  ( while best values are 1.2 and 17 after checking)

                photo.Draw(face, New Bgr(Color.White), 4)

                currentCenter.X = CInt(CDbl(face.X + face.X + face.Width) / 2.0)
                currentCenter.Y = CInt(CDbl(face.Y + face.Y + face.Height) / 2.0)

                Label2.Text = (currentCenter.X).ToString
                Label3.Text = (currentCenter.Y).ToString

                Dim f = New MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 0.5, 0.5)
                photo.Draw("Human detected", f, currentCenter, New Bgr(0, 255, 0)) ' New Point(10, 80) 

                Dim f2 = New MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 0.7, 0.7)
                photo.Draw("human detectioin and tracking system", f2, New Point(10, 20), New Bgr(0, 255, 255)) ' New Point(10, 80)

                Label4.Text = face.ToString

                facedetected = 1  ' we are storing 1 if faces are detected.


            PictureBox1.Image = photo.ToBitmap

        Catch ex As Exception

        End Try

    End Sub

    Private Sub Form1_Load(ByVal sender As System.Object, ByVal e As System.EventArgs) Handles MyBase.Load
        SerialPort1.PortName = "com5"
        SerialPort1.BaudRate = "9600"
        SerialPort1.DataBits = 8
        SerialPort1.Parity = Parity.None
        SerialPort1.StopBits = StopBits.One
        SerialPort1.Handshake = Handshake.None
        SerialPort1.Encoding = System.Text.Encoding.Default

    End Sub

    Private Sub Button1_Click(ByVal sender As System.Object, ByVal e As System.EventArgs) Handles Button1.Click
        count = count + 1
        TextBox1.Text = count

        Dim photosave As Image(Of Bgr, Byte)
        photosave = web.RetrieveBgrFrame
        photosave.Save("E:\youtube tutorials\1 image processing security system\pictures\  fahad" + TextBox1.Text + ".jpg")

    End Sub

    Private Sub DataReceived(ByVal sender As Object, ByVal e As SerialDataReceivedEventArgs) Handles SerialPort1.DataReceived


            Dim mydata As String = ""
            mydata = SerialPort1.ReadExisting()

            If TextBox2.InvokeRequired Then
                TextBox2.Invoke(DirectCast(Sub() TextBox2.Text &= mydata, MethodInvoker))
                TextBox2.Text &= mydata
            End If
        Catch ex As Exception
        End Try
    End Sub


    Private Sub Timer2_Tick(ByVal sender As System.Object, ByVal e As System.EventArgs) Handles Timer2.Tick
        If (InStr(TextBox2.Text, "intruder detected") And (facedetected = 1)) Then
            count = count + 1
            TextBox1.Text = count

            Dim photosave As Image(Of Bgr, Byte)
            photosave = web.RetrieveBgrFrame
            photosave.Save("E:\youtube tutorials\1 image processing security system\picture pir\  fahad" + TextBox1.Text + ".jpg")
            TextBox2.Text = ""
        End If
    End Sub
End Class

Watch Video Tutorial:

Other Image Processing Projects:

Arduino image processing Eye Pupil Tracking, how to make Haarcascade XML file

OCR Optical Character Recognition using and Arduino

Arduino Image Processing based Entrance lock Control System

Engr Fahad

My name is Shahzada Fahad and I am an Electrical Engineer. I have been doing Job in UAE as a site engineer in an Electrical Construction Company. Currently, I am running my own YouTube channel "Electronic Clinic", and managing this Website. My Hobbies are * Watching Movies * Music * Martial Arts * Photography * Travelling * Make Sketches and so on...


  1. Can we use this for detecting an ambulance??
    Please do reply as soon as possible…Your response matters a lot to me since I am working on a project of detecting an ambulance

    1. Yes, of course, you can detect an Ambulance. Watch my Video on EyePupil Tracking, in which I have explained how to make an XML file to track anything.

  2. Thank you so much for your reply…I have the .xml file ready with me which i have trained earlier using Cascade GUI Trainer.I am little confused where to use that .xml file in your given code.Can you please help me out in sorting my problem?? Thank you..

  3. Thank you for your reply..I have an .xml file ready with me,which I have trained using Cascade GUI Trainer.I am little confused where to use that .xml file in your given code.Can you please help me out in sorting this issue???

    Thank you..

    1. in my programming replace the front face XML with yours one. Watch my video on eye pupil tracking, in that video, I have explained this. watch that video completely and don’t skip any part. You will completely understand how to add your XML file in my program.

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button