Scrolling Text on LED Matrix 8x8 using Arduino
Buy This Simulation
Hello friends, Hope you all are fine and having fun with your lives. In today's post, I am going to show How to display a Scrolling Text on LED Matrix 8x8 using Arduino in Proteus ISIS. We all know about LED Matrix but if you don't know then google it. :P LED Matrix is used to display long messages, the best thing about LED Matrix is you can combine then in serial way and can make it of any size you want. Like in this post I have combined 8 LED matrices and then displayed my message on them. I have given all the details here but as you can see we have done a great effort in designing this simulation so I haven't posted it free but have placed a very small amount of $20 on it and you can buy it quite easily from our shop by clicking the above button.
I have used Proteus software for the simulation purposes and have use Arduino board as a microcontroller. We know that Proteus doesn't support Arduino but we have a library for it. So, first of all, read Arduino library for Proteus so that you can easily add the Arduino board in your Proteus software and then must also read How to get Hex file from Arduino which we will be uploading in our Proteus software. Its quite easy and you will get it don't in the first attempt. Anyways let's get started with Scrolling Text on LED Matrix 8x8 using Arduino in Proteus ISIS.
Hardware Design of LED Matrix 8x8 using Arduino in Proteus ISIS
- First of all let's have a look on the hardware design of LED Matrix 8x8 using Arduino in Proteus ISIS, which is shown in below figure:
- So, if you have a closer look on it by clicking it then you can see I have used 8 LED matrices and have used MAX7219.
- MAX7219 is a shift register which is of real importance here, it takes data serially in and parallel out.
- It is also known by the name serial in parallel out shift register. We send data to it using single pin which is the data pin and this data is edge triggered by the clock pulse.
- So when our clock pulse goes from low to high the data is sent to the shift register.
- We have connected these shift registers in a row as you can see in above figure, the first register is connected to second register via Dout pin.
- So suppose I have connected two shift register then in this case now I am sending data to two shift register and my output will be of total 16 bits.
- So, in this way we can add as many shift registers as we want and here I have added total 8 shift registers so my output is total of 64 bits and I am controlling these 64 bits via single pin of Arduino which is data pin of course.
- Clock Pin and Load Pin are also used here which are used to send the data and then load it in sequence so in short using just 3 pins of Arduino I can control any number of shift register.
- Now, each shift register is controlling each LED Matrix 8x8 and the reason I am using 8 shift registers is because I am using 8 LED Matrix 8x8.
- It's a bit tricky but quite simple. So, now we have complete overview of this shift register and how it works, now let's move on to our simulation.
Scrolling Text on LED Matrix 8x8 using Arduino in Proteus ISIS
- First of all, download the Arduino library for LED Matrix 8x8 by clicking on the below button.
- Now design a complete circuit as shown in below figure in your Proteus ISIS software:
- Next thing you are gonna need is the code for Arduino board which is posted below, so copy it and paste it in your Arduino software:
#include <MD_MAX72xx.h>
#define MAX_DEVICES 8
#define CLK_PIN 13
#define DATA_PIN 11
#define CS_PIN 10
MD_MAX72XX mx = MD_MAX72XX(DATA_PIN, CLK_PIN, CS_PIN, MAX_DEVICES);
#define SCROLL_DELAY 200
#define CHAR_SPACING 1
#define BUF_SIZE 75
char curMessage[BUF_SIZE];
char newMessage[BUF_SIZE];
uint8_t scrollDataSource(uint8_t dev, MD_MAX72XX::transformType_t t)
{
static char *p = curMessage;
static uint8_t state = 0;
static uint8_t curLen, showLen;
static uint8_t cBuf[8];
uint8_t colData;
switch(state)
{
case 0:
showLen = mx.getChar(*p++, sizeof(cBuf)/sizeof(cBuf[0]), cBuf);
curLen = 0;
state++;
if (*p == '\0')
{
p = curMessage;
}
case 1:
colData = cBuf[curLen++];
if (curLen == showLen)
{
showLen = CHAR_SPACING;
curLen = 0;
state = 2;
}
break;
case 2:
colData = 0;
curLen++;
if (curLen == showLen)
state = 0;
break;
default:
state = 0;
}
return(colData);
}
void scrollText(void)
{
static uint32_t prevTime = 0;
if (millis()-prevTime >= SCROLL_DELAY)
{
mx.transform(MD_MAX72XX::TSR);
prevTime = millis();
}
}
void setup()
{
mx.begin();
mx.setShiftDataInCallback(scrollDataSource);
mx.control(MD_MAX72XX::INTENSITY, 10);
strcpy(curMessage, "www.TheEngineeringProjects.com");
newMessage[0] = '\0';
}
void loop()
{
scrollText();
}
- Now after uploading the code in Arduino software, get the Hex file for Arduino and upload it in your Arduino board in Proteus ISIS.
- Now when you upload it to your Arduino board and run your simulation you will get something as shown in below figure:
- Now let's have a look at How it scrolls, I really have to work hard to make the below figure but it looks cool isn't it. :)
- So, that's how our website link is gonna scroll from right to left and you can scroll any kind of text.
- You can buy the complete simulation along with Arduino code and hex file by clicking on below button.
Buy this Proteus Simulation
That's all for today. I hope you guys get some knowledge out of it. Let's meet in the next tutorial, till then take care!!! :)
Interfacing of Keypad with Arduino
Hello friends, hope you all are fine and having fun with your lives. In today's post we will have a look at How to interface keypad with Arduino in Proteus ISIS. Keypad is used almost in every engineering project. If you even look around you will find keypad in many electronic appliances. For example, a simple ATM machine has a keypad on it using which enter our pin code and give commands to the ATM machine. Similarly, calculator also has keypad on it. So, in short there are numerous applications of keypad. You should also read the Real Life examples of Embedded Systems and you will find Keypad in them as well.
Keypad is used where you need to used numerical buttons or you need to use lots of buttons for sending commands so like in some application I need to use 10 buttons so instead of using separate 10 buttons I would prefer to use keypad instead as it will save a lot of time both in hardware as well as programming. So today we will have a detailed look on How keypad works and How we can Interface keypad with Arduino in Proteus ISIS. Proteus also gives keypad component in its database using which we can easily simulate it in Proteus and can save our time. So first simulate it and then design the hardware. After today's post I will also share an Automatic Lock system project using keypad. Anyways let's get started with Interfacing of Arduino with keypad:
How keypad works ??
- Keypad uses matrix system in order to work.
- For example, I am using a keypad which has 12 buttons on it as shown in below figure:
- Now you can see its a 12 button keypad so it has total 3 columns and 4 rows and similarly there are 7 pins to control these 12 buttons.
- So, the simple formula is total number of pins = Number of Rows + Number of Columns.
- Now if we look at the internal circuitry of this 12 button keypad then it will look something as shown in below figure:
- Columns and rows are connected with each other now suppose I press button "1" on the keypad then first row and the first column will get short and I will get to know that button "1" is pressed.
- Same is the case with other buttons, for example I press button "8" then second column and the third row will get short so this code will remain unique for each button.
- In simple words, on each button press different column and row will get short we need to detect which one gets short in order to get the pressed button.
Quite simple, isn't it ?? You should also have a look at these
Arduino Projects for Beginners. So that's how a keypad works, now let's have a look at How to Interface this keypad with Arduino in Proteus ISIS.
Interfacing of Keypad with Arduino in Proteus ISIS
- So, now we are gonna interface this keypad with Arduino in Proteus ISIS which is as always my favorite simulator.
- In Proteus design a circuit as shown in below figure:
- So, we have an Arduino UNO board along with keypad and LCD.
- So I have done the programming in such way that whenever you press any button on the keypad, it will get displayed on the LCD.
Note:
- Now, copy the below code and paste it in your Arduino software and get the hex file from it.
#include <LiquidCrystal.h>
#include <Keypad.h>
const byte ROWS = 4; //four rows
const byte COLS = 3; //three columns
char keys[ROWS][COLS] = {
{'1','2','3'},
{'4','5','6'},
{'7','8','9'},
{'*','0','#'}
};
byte rowPins[ROWS] = {10, 9, 8, 7}; //connect to the row pinouts of the keypad
byte colPins[COLS] = {13, 12, 11}; //connect to the column pinouts of the keypad
// initialize the library with the numbers of the interface pins
LiquidCrystal lcd(A0, A1, A2, A3, A4, A5);
Keypad keypad = Keypad( makeKeymap(keys), rowPins, colPins, ROWS, COLS );
void setup() {
// set up the LCD's number of columns and rows:
lcd.begin(20, 4);
lcd.setCursor(1,2);
lcd.print("www.TheEngineering");
lcd.setCursor(4,3);
lcd.print("Projects.com");
lcd.setCursor(0,0);
}
void loop() {
char key = keypad.getKey();
if (key) {
lcd.print(key);
}
}
- Now upload the hex file in your Arduino UNO in Proteus ISIS and hit the RUN button.
- If everything goes fine then you will get something as shown in below figure:
- Now, when you press any button on the keypad it will also appear on the LCD as shown in below figure:
That's all for today. In the coming post I am gonna share a small project in which we will design a automatic locking system using this keypad. So stay tuned and have fun. :)
How to Train Pixy Camera with Computer
In today's post we are gonna have a look at How to Train Pixy Camera with Computer. We have yet posted three tutorials in the Pixy Camera series. In the first tutorial, we have seen How to Get Started with Pixy Camera in which we have studied the basics of Pixy Camera. After that that we have seen the Installation of Pixy Camera Software which is named as PixyMon and in the third tutorial we have covered How to Upload the Latest Firmware in Pixy Camera because its always the best strategy to deal with latest tools. So until now we have configured our Pixy Camera in all possible ways now the next thing is to train our Pixy Camera with Computer using PixyMon software.
Let's first discuss How the Pixy Camera works. Pixy Camera has on board NXP microcontroller which is used for image processing so what we need to do is to let our Pixy Camera remember some objects and whenever this object comes in the range of Pixy camera then it gives output to the microcontroller through SPI protocol. We can use any microcontroller like PIC microcontroller or Arduino etc. We will interface it with Arduino in the coming tutorial but in this tutorial we will have a look at How to train Pixy Camera with Computer using PixyMon. So, let's get started with it.
How to Train Pixy Camera with Computer ???
- First of all, connect your Pixy Camera with Computer using the Mini USB to USB converter cable which we have seen in the first tutorial.
- So, plug the mini USB side with your Pixy Camera and plug the USB in your Computer.
- Now, I suppose that you have already upgraded the Pixy Camera software to latest version.
- After pluging in Pixy Camera now open Pixy Camera software named as PixyMon, and you will start receving the live video for Pixy Camera in your PixMon as shown in below figure:
- So I am getting the live video from my Pixy Camera in PixyMon.
- I have placed a globe in front of the Pixy Camera which we are gonna select now.
- So, now what I am gonna do is to recognize this globe to the Pixy Camera.
- In order to do so click Actions and then Set Signature 1 as shown in below figure:
- Now when you click the Set Signature 1 then video will go static like it stopped and now you need to select a region which you want Pixy Camera to remember as shown in below figure:
- As you have seen in above figure, I have selected the blue region of globe and now this color is saved in Pixy Camera.
- After selecting this region, the video will again start but now whenever this blue color of globe comes in focus of Pixy Camera, it will detect this color as shown in below figure:
- Now you can see it has detected the blue region of globe completely and above it is mentioned s = 1 which means the signature is 1, now suppose you want to save any other color then you can save it in signature 2 or 3.
- But there's some problem in the image that we are also detecting small blue color in other parts of image as well and you can see at the left below corner it also mentioning s = 1.
- So, what we need to do is to refine our parameter so that it only detect the blue globe and ignore the other small objects.
- In order to do so, you have to click File and then Configure and a new Window will pop up which will have the Pixy Parameter range for all the signatures as shown in below figure:
- Now you can see in the above figure the range for Signature 1 is 2.02400 and we have many small blue blocks in the figure, so now let's reduce this range and check its effect on the video.
- Now you can see in above figure that our region got quite clear and now its detecting just the globe and all the other small detected regions are now gone.
So, that's how you train Pixy Camera with Computer using PixyMon. You can set other colors as well in other signatures. That's all for today. In the coming tutorial, we will see How to interface Pixy Camera with Arduino in which we will automatically detecting this blue region with Arduino and will be doing our task further. So, stay tuned and have fun. :)
How to use 18B20 in Proteus ISIS
Hello friends, hope you all are fine and having fun with your lives. In today's post we are gonna have a look at How to use Temperature Sensor 18B20 in Proteus ISIS. I will use Arduino board as a microcontroller and will connect the temperature sensor with it and then will display the code on LCD. I have already posted the same tutorial in which I have done Interfacing of Temperature Sensor 18B20 with Arduino but in that project I have used the real components and designed the hardware. But today, I will just show you the simulation so that you could test the simulation first and then design it in hardware.
Temperature Sensor 18B20 is the most commonly used temperature sensor. Its a one wire sensor means it sends data through a single wire and we can connect multiple sensors with a single wire, that's why its quite efficient and easy to use as well. I have also posted a tutorial on How to Interface LM35 sensor with Arduino in Proteus ISIS which is another temperature sensor so give it a try as well and let me know which one you think is better. Anyways let's get started with temperature sensor 18B20 in Proteus ISIS.
How to use 18B20 in Proteus ISIS ???
- First of all, get these components from Proteus components list as shown in below figure:
- Now design the circuit as shown in below figure:
- As you can see in above simulation, we have used Arduino UNO board along with LCD and 18B20 temperature sensor.
- 18B20 in Proteus can't detect the real temperature but we can change the temperature by pressing + and - buttons.
- So, now we have interfaced the temperature sensor and the LCD with Arduino. Next we are gonna design the code for Arduino and will upload it in Arduino baord.
Note:
- Now download these three libraries, one is "one wire" library which is the protocol for 18B20 temperature sensor, next is the Dallas Temperature sensor library which is the actua library for temperature sensor 18B20 and uses one wire library. Third library is the Crystal LCD library which is used for displaying character on LCD.
- So, download all these three libraries by clicking on below buttons and then paste them in your libraries folder of Arduino software.
Download One Wire LibraryDownload Dallas Temperature LibraryDownlaod Liquid Crystal Library
- Now after adding these libraries, open your Arduino software and paste the below code into it.
#include <OneWire.h>
#include <DallasTemperature.h>
#include <LiquidCrystal.h>
#define ONE_WIRE_BUS 6
OneWire oneWire(ONE_WIRE_BUS);
DallasTemperature sensors(&oneWire);
LiquidCrystal lcd(12, 11, 5, 4, 3, 2);
void setup(void)
{
Serial.begin(9600);
Serial.println("Welcome to TEP !!!");
Serial.println("www.TheEngineeringProjects.com");
Serial.println();
sensors.begin();
lcd.begin(20, 4);
lcd.setCursor(5,0);
lcd.print("Welcome to:");
lcd.setCursor(1,2);
lcd.print("www.TheEngineering");
lcd.setCursor(4,3);
lcd.print("Projects.com");
delay(5000);
}
void loop(void)
{
sensors.requestTemperatures();
Serial.print("Temperature : ");
Serial.println(sensors.getTempCByIndex(0));
//lcd.clear();
lcd.setCursor(0,0);
lcd.print("Temperature: ");
lcd.print(sensors.getTempCByIndex(0));
lcd.print("C");
delay(1000);
}
- Now get your hex file from Arduino and upload it to your Proteus Arduino board and hit the RUN button.
- If everything goes fine then you will something like this at the start:
- After a delay of around 5 sec you will start receiving the Temperature sensor 18B20 values on your LCD as shown in below figure:
- Now you can see the value shown in the temperature sensor is the same as in LCD.
- So, now by clicking the + and - buttons on temperature sensor, you can increase and decrease the value of temperature and same will be changed in LCD.
That's how you can do simulation of Temperature sensor 18B20 in Proteus ISIS. Its quite simple and easy to use. That's all for today, hope you get some knowledge out of it.
Upload Latest Firmware in Pixy Camera
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Hello friends, hope you are fine and having fun with your lives. Till now we have seen two tutorials on Pixy Camera module, in the first tutorial we have seen How to Get started with Pixy Camera and after that we have seen How to Install Pixy Camera software which is named as PixyMon. So, now I hope that you have installed the Pixy camera software and have the Pixy Camera module in hand along with USB to Mini USB cable. Because in this tutorial we are gonna plug our Pixy Camera module with moduter and will upload the latest firmware in our Pixy Camera Module, which isn't much difficult and would be a piece of cake if you followed all the instructions carefully.
Pixy Camera comes with some old firmware which is uploaded in it at the time of its manufacturing. But with the passage of tme, the firmware keeps on upgrading and hence in order to make the Pixy Camera module compatible with new software, we have to upgrade the Pixy Camera firmware as well, which we are gonna do in this post.We haven't yet connected our Pixy Camera module with computer so when we plug it with our computer for the first time, it will first install the driver for the usb of pixy Camera board and then we will be able to upload our latest firmware in it. So, before uploading firmware in Pixy Camera first let's have a look at How to install the driver for Pixy Camera module.
How to Install Driver for Pixy Camera ???
- Plug your USB cable in Pixy Camera from USB mini side and plug the USB side into your computer.
- Now when you plug your Pixy camera for the first time, a small pop up will open up in the task bar as shown in below figure:
- And you don't need to do anything and it will get installed automatically. I have tested it on Windows 8 and it works like magic, no problem at all.
- Now once you installed the driver for Pixy Camera, unplug your pixy Camera USB and now we will see how to upload latest firmware in Pixy Camera.
Upload Latest Firmware in Pixy Camera
- So, now I hope you have unplugged your Pixy Camera USB from computer.
- Now download the latest firmware of Pixy Camera by clicking the below button.
- At the time of writing this post, the latest firmware available was 2.0.17 but you can download the latest firmware by clicking here.
- Now I hope you have downloaded the latest firmware for pixy Camera, so now open your PixyMon software and first time it will look something as shown in below figure:
- Now press the white button on your Pixy Camera and plug the USB in your computer while keep pressing the button.
- Once the USB plugged in and USB got detected, then release the button and you will get something like this in your PixyMon.
- As shown in above figure, our Pixy Camera got detected and because we pressed the button so that's why it went in programming state.
- Soon after this a pop up will open up as shown in below figure:
- Now Browse to your downloaded firmware, which in my case is pixy_firmware-2.0.17-general.hex , so I selected this one and press Open.
- It will automatically install the firmware and will restart the Pixy Camera and you will get something like this in your PixyMon.
- That's all, now you will start getting your video from Pixy Camera and you can see in the output pane that it installed the firmware first and then for reset and now ready to use.
Now we have uploaded the Latest Firmware in our Pixy Camera and have also plugged it with our computer and got it working with PixyMon. In the next tutorial, we will see How to train our Pixy Camera using this PixyMon. I am quite tired now so I don't think I am gonna post the next tutorial today, hopefully will post it tomorrow. So, till then take care :))
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How to Train Pixy Camera with PixyMon >>
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How to Install Pixy Camera Software - PixyMon
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In the previous tutorial, we have seen how to Get Started with Pixy Camera, which was quite a basic tutorial and we have covered just the basic cables required to set up pixy camera. Now along with cables we are also gonna need software for training our Pixy Camera. So in this tutorial we are gonna see how to install Pixy Camera Software which is named as PixyMon. As I explained earlier in previous post that first of all, we need to connect our Pixy Camera with Computer or laptop and then using its software PixyMon we need to train our Pixy Camera so that it can recognize objects present in front of it.
PixyMon is quite a simple software and quite easy to use. In this post, we are not gonna check How to use PixyMon software (which is the topic for net tutorial) but we are gonna see How to install pixy Camera software successfully without any errors. So now I hope that you have bought the Pixy Camera and have also bought the USB to mini USB cable because we are gonna need to it in order to connect our Pixy Camera with computer and make it work with PixyMon software.
I could have covered the whole tutorial in a single post but then its gonna be real messy because we need to cover quite a lot of things that's why I thought to divide it in parts so that we cover each and every thing in detail and even a begineer can easily follow these tutorials and could work on PixyMon Camera Module. After checking the installation of PixyMon software, in the next tutorial we will have a look at How to upgrade the drivers for Pixy Camera Module. So now let's get started with installation of PixyMon.
Note:
- Don't connect your Pixy camera with computer, first we will install the PixyMon software which will also install the driver for USB cable and then we will plug our Pixy Camera with computer.
How to Install Pixy Camera Software - PixyMon
- As I mentioned above, PixyMon is a software which is used to train our Pixy Camera module using Computer.
- So, first of all download the PixyMon software by clicking on the below button:
- At the time of writing this post, the latest version of PixyMon released is 2.0.9 for Windows so either download the software by clicking above button or visit http://cmucam.org/projects/cmucam5/files (Official site for PixyMon) to download latest version of PixyMon.
- Now after downloading the PixyMon, double click it to open and the first window will show up is shown in below figure:
- Now when this window pop up, click on the Next button.
- When you click the Next Button, the below window will open up.
- Now here Browse to your folder where you wanna install the PixyMon software and then click the Next button and you will get the below screen:
- Now here simply click the Next button again unless you wanna change the folder for the shortcut, which is not necessary.
- Now finally when you hit the Next button, it will show you all the configurations you set and will ask you to install the software as shown in below figure:
- Now hit the Install button and your software will start to install as shown in below figure:
- Now during installation, a new window will pop up as shown in below figure:
- Simply press OK button, this pop up is asking for the driver to install for the USB cable which we will plug in after installation of this software.
- Now that's the last window for installation of PixyMon software. Simple click Finish and you are done with the installation of Pixy Camera software.
Now we are done with installation of Pixy Camera software, in the next tutorial we are gonna have a look at How to install latest firmware for Pixy Camera. So stay tuned. :)[/vc_column_text][vc_empty_space height="30px"][/vc_column][/vc_row][vc_row][vc_column width="1/2"][vc_column_text]
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Upgrade Pixy camera Firmware >>
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Getting Started with Pixy Camera
Hello friends, hope you all are fine and having fun with your lives. Today's post is about getting started with pixy camera. Now, the first thing comes in mind is what is Pixy Camera so let's first have a little introduction about Pixy Camera on which I recently worked. Pixy Camera is a small camera board which uses NXP microcontroller. Its a very powerful board and can get easily interfaced with simple Arduino UNO board. So, now we can do image processing even on Arduino UNO. Image Processing needs a powerful board that's why we can't interface simple webcam with Arduino UNO or mega etc. Before using pixy camera, when I need to do on board image processing I always used either Arduino YUN, Raspberry Pi or Arduino USB host shield but still it was quite tough to do the image processing even on such powerful boards like Arduino YUN. But now with Pixy Camera module, one can quite easily do the image processing even on Arduino UNO.
Now question arises what this module does ? Actually this Pixy module has a NXP microcontroller on it which does all the image processing and is controlled by a computer. (We are gonna cover this in coming tutorials) Once you set its parameters like color detection or object detection etc then you simply unplug it from computer and plug it with Arduino or any other PIC Microcontroller. Now whenever that object comes in front of Pixy Camera it will automatically recognize it and will send the command to your microcontroller and will also send the parameters like X, Y coordinates or size etc of the object and what you need to do is to apply your algorithm on Arduino i.e. what you gonna do if the object is infront of the camera. Sounds complex, don't worry we are gonna follow everything in detail in coming tutorials. So, now we are gonna have a look at how to get started with Pixy Camera.
Getting Started with Pixy Camera
- So, when I ordered for my Pixy Camera, I got the box within 10 days.
- As I received the box I opened it and I got two items from it, one is the Pixy Camera board itself and second is the Serial to SPI cable which is used to connect Pixy Camera with Arduino or PIC Microcontroller.
- The Pixy Camera is shown in below figure:
- The Serial to SPI cable which is received has 9 pins on one end which is inserted in Pixy board while six pins on the other end which is inserted in Arduino Microcontroller.
- This cable is also shown in below figure:
- The black side of this cable is for microcontroller while the white side is for Pixy Camera board itself.
- Next cable you are gonna need is the USB to mini USB cable, which is not with the package so you need to get it on your own.
- I got mine as well and is shown in below figure:
- This cable is used to connect your Pixy Camera board with computer.
- Using this cable, we train our Pixy camera and let it know about colors and objects.
- We actually set signature using Pixy Camera Software, which I am gonna cover in my next tutorial and using this software we make pixy do incredible things.
Now we have all the tools to get started with Pixy Camera so now in the next tutorial, we will have a look at How to install Pixy Camera software in Windows. Click the below button to move to next tutorial. If you having questions please ask in comments below.
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How to Install Pixy Camera Software >>
Control Servo Motor with Arduino in Proteus
Hello friends, hope you all are fine and having fun with your lives. Today's post is about the Controlling of Servo Motor with Arduino in Proteus ISIS. Servo Motor is a common motor used in engineering projects for precise circular motion. We can move the servo motor at any desired angle, which is not possible in the case of other motors i.e. Stepper or DC.
For example, suppose I want to move an antenna at a precise angle of 47.5 degrees then if I use DC Motor, I have to use an encoder. So, in such cases instead of using a DC motor, I will prefer Servo Motor.
I have already posted Angle Control of Servo Motor using 555 Timer in which I have controlled servo motor using 555 timer and another tutorial about Controlling of Servo Motor using PIC Microcontroller in which I have controlled it with PIC16F877a. And today we are going to Control Servo Motor with Arduino and will design the simulation in Proteus ISIS.
First of all, we will have a look at simple control of servo motor with Arduino in Proteus ISIS and then we will check the control of the servo motor with Arduino using buttons in which we will move the servo motor to precise angles using buttons. So, let's get started with it. :)
| Where To Buy? |
|---|
| No. | Components | Distributor | Link To Buy |
| 1 | Servo Motor | Amazon | Buy Now |
| 2 | Arduino Uno | Amazon | Buy Now |
Simple Control of Servo Motor with Arduino in Proteus
- First of all, open your Proteus ISIS software and design the below simple circuit.
- You should also have a look at these Proteus Libraries of Components.
- Servo Motor has three pins:
- First Pin is Vcc.
- Second Pin is Control Pin.
- Third Pin is GND.
- The center pin is the controlling pin and goes to any digital pin of Arduino. I have connected the control pin to pin # 4 of Arduino.
Arduino Code for Servo Motor Control
- The next thing we need to do is to design the code for Arduino. So, open your Arduino software and copy paste the below code in it.
#include <Servo.h>
Servo myservo;
int pos = 0;
void setup()
{
myservo.attach(4);
}
void loop()
{
for(pos = 0; pos <= 180; pos += 1)
{
myservo.write(pos);
delay(15);
}
for(pos = 180; pos>=0; pos-=1)
{
myservo.write(pos);
delay(15);
}
}
- Now compile this code and get your hex file.
- It's the same code as given in the Servo folder of Examples in Arduino software.
- Upload your hex file to your Proteus Arduino board.
Note:
Proteus Simulation Results
- Now, run your simulation and you will see that your Servo motor will start moving from 90 degrees to -90 degrees and then back to 90 degrees and will keep on going like this, as shown in the below figures:
- Now when you start it, first of all, it will show Position A in the above figure then will move anticlockwise and pass the position B and finally will stop at Position C and then it will move clockwise and comes back to Position A after passing Position B.
- In this way, it will keep on moving between Position A and C.
- Till now we have seen a simple control of Servo Motor with Arduino in Proteus ISIS, now let's have a look at a bit complex control of servo motor with Arduino.
Control Servo Motor with Arduino using Push Buttons
- In the previous section, we have seen a simple Control of Servo Motor with Arduino in which we simply moved Servo motor from 90 degrees to -90 degrees and vice versa.
- Now I am going to control Servo motor using five push buttons and each push button will move the Servo motor to a precise angle.
- So, first of all, design a small design as shown in the below figure:
- I have added five buttons with Arduino and now with these five buttons, I will move the Servo motor to 90, 45, 0, -45 and -90 degrees. So, each button has its precise angle and it will move the motor to that angle only.
Arduino Code
- So, now the next thing is the code, copy paste the below code in your Arduino software and get the hex file:
#include <Servo.h>
Servo myservo;
int degree90 = 8;
int degree45 = 9;
int degree0 = 10;
int degree_45 = 11;
int degree_90 = 12;
void setup()
{
myservo.attach(4);
pinMode(degree90, INPUT_PULLUP);
pinMode(degree45, INPUT_PULLUP);
pinMode(degree0, INPUT_PULLUP);
pinMode(degree_45, INPUT_PULLUP);
pinMode(degree_90, INPUT_PULLUP);
}
void loop()
{
if(digitalRead(degree90) == LOW)
{
myservo.write(180);
}
if(digitalRead(degree45) == LOW)
{
myservo.write(117);
}
if(digitalRead(degree0) == LOW)
{
myservo.write(93);
}
if(digitalRead(degree_45) == LOW)
{
myservo.write(68);
}
if(digitalRead(degree_90) == LOW)
{
myservo.write(3);
}
}
- Upload this hex file to your Arduino board in Proteus and run the simulation.
Proteus Simulation Results
- Now press these buttons from top to bottom and you will get the below results:
- The above figure is quite self-explanatory but still, I explain a little.
- In the first figure, I pressed the first button and the motor moved to -90 degrees.
- In the second figure, I pressed the second button and the motor moved to -45 degrees.
- In the third figure, I pressed the third button and the motor moved to 0 degrees.
- In the fourth figure, I pressed the fourth button and the motor moved to 45 degrees.
- In the fifth figure, I pressed the fifth button and the motor moved to 90 degrees.
- In the sixth figure, all buttons are unpressed and the motor remained at the last position.
It was quite simple and hope I explained it properly. If you still have any questions then ask in the comments and I will try to resolve them. That's all for today, will see you guys in the next tutorial. Take care !!! :)
Color Detection in Images using MATLAB
Hello friends, hope you all are fine and having fun with your lives. In today's tutorial, we are gonna see Color Detection in Images using MATLAB. In the previous tutorial, I have posted about How to Detect Circles in Images using MATLAB in which we have detected objects based on their geometrical figure means either they are circle or not but today we are gonna distinguish objects based on their color i.e. whether they are red colored or green colored etc. Its a quite simple tutorial and comes in the basic category. We will first detect the color and then will create a boundary around that object and will also show its XY coordinates as well.
Image processing is an important tool of MATLAB. We can quite easily do the image processing in it using Image Processing toolbox so you need to make sure that your MATLAB must have Image processing toolbox before running this code. You should also have a look at these MATLAB Image Processing Projects. So, let's start with the project.
Color Detection in Images using MATLAB
- In order to do the Color Detection in Images using MATLAB, first thing we are gonna need is the image itself. :P
- So, I designed an image in paint which has different shapes in different colors as shown in below figure:
- As you can see in the above figure, there are different shapes in different colors so now we are gonna detect these objects on the basis of their color.
- Now use the below code and add it in your MATLAB m file, if you are new to m File then have a look at How to Create m File in MATLAB.
- If you wanna protect your code in m File then you should read How to Protect code in m File.
data = imread('TEP.jpg');
diff_im = imsubtract(data(:,:,2), rgb2gray(data));
%Use a median filter to filter out noise
diff_im = medfilt2(diff_im, [3 3]);
diff_im = im2bw(diff_im,0.18);
diff_im = bwareaopen(diff_im,300);
bw = bwlabel(diff_im, 8);
stats = regionprops(bw, 'BoundingBox', 'Centroid');
% Display the image
imshow(data)
hold on
for object = 1:length(stats)
bb = stats(object).BoundingBox;
bc = stats(object).Centroid;
rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
plot(bc(1),bc(2), '-m+')
a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), ' Y: ', num2str(round(bc(2)))));
set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'black');
end
hold of
- Now, run your m file and if everything goes fine then you will get an image as shown in below figure:
- You can see in the above figure, we have only detected the shapes with green color.
- The + sign indicates the center of each detected shape.
- X and Y are the x,y coordinates of the center point of each shape which are shown in black for each detected shape.
- Now, let's detect the red color in above figure, so in order to do so what I need to do is to simply change the third value in imsubtract function from 2 to 1.
- The complete code for red color detection in MATLAB is shown below:
data = imread('TEP.jpg');
diff_im = imsubtract(data(:,:,1), rgb2gray(data));
%Use a median filter to filter out noise
diff_im = medfilt2(diff_im, [3 3]);
diff_im = im2bw(diff_im,0.18);
diff_im = bwareaopen(diff_im,300);
bw = bwlabel(diff_im, 8);
stats = regionprops(bw, 'BoundingBox', 'Centroid');
% Display the image
imshow(data)
hold on
for object = 1:length(stats)
bb = stats(object).BoundingBox;
bc = stats(object).Centroid;
rectangle('Position',bb,'EdgeColor','r','LineWidth',2)
plot(bc(1),bc(2), '-m+')
a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), ' Y: ', num2str(round(bc(2)))));
set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'black');
end
hold off
- Now, when you run this code in MATLAB, you will get the output as shown in below figure:
- Now instead of detecting the green shapes, it has now detected the red shapes in MATLAB.
- And have also shown their x,y coordinates in black color.
- Now, finally let's detect the blue color, in order to do, you now just need to change the third parameter to 3 and it will detect the blue color as shown in below figure:
- That's all for today, and I think its quite an easy one as I mentioned earlier this one is quite basic tutorials. Thanks for reading and I hope it will help you in some ways. :)
Detect Circles in Images Using MATLAB
Hello friends, hope you all are fine and having fun with your lives. In today's post we are gonna see How to detect Circles in Images using MATLAB. It's quite a simple and basic tutorial but quite helpful as today I was working on a project in which I need to do so but all the codes available online were for detection and tracking of circles in live images. So, I thought to share this one on our site. I have also posted another tutorial Color Detection in Images using MATLAB, so I think its better if you check that one as well.
We all know about MATLAB, which is a great tool for image processing and quite easy as it has a strong Help section. I haven't posted much tutorials on MATLAB in my blog so from now on I am gonna post tutorial on MATLAB as I get many requests about it. If you have any requests then use our Contact form and send them to us and I will try my best to postrelated tutorials. I personally prefer OpenCV over MATLAB, when it comes to image processing but in OpenCV there's not much flexibility as in MATLAB. Anyways, let's start our tutorial which is How to Detect Circles in Images using MATLAB.
Detect Circles in Images Using MATLAB
- First of all, you are gonna need an Image, in which you are gonna find circles so I used this image of a bike.
- As we can see there are two circles in the above image, which are two tyres, so we are gonna detect them now.
- So, copy the below code and paste it in your MATLAB m file.
ImagePath='TEP.jpg'; %Give Path of your file here
Img=imread(ImagePath);
Img=im2bw(Img(:,:,3));
Rmin=70;
Rmax=100;
[centersDark, radiiDark] = imfindcircles(Img, [Rmin Rmax], ...
'ObjectPolarity','bright','sensitivity',0.90)
imagesc(Img);
hold on
viscircles(centersDark, radiiDark,'LineStyle','--');
hold off
- Now, when you run this code you will get something as shown in below figure:
- As you can see in the above figure, both the circles are now detected and are marked with red and white line.
- The command, I have used for detecting these circles is imfindcircles , where Rmin and Rmax are the minimum and maximum radius of the circles.
- It will detect only those circles which will lie in this range and other circles will be ignored.
- Moreover, the last parameter is for setting the sensitivity of circle detection, which I have given is 0.90.
- It will also give the center of these circles along with their radii in the command window as shown in below figure:
- As, we have detected two circles so the command window is showing the X, Y coordinates of both these circles along with their radii.
- Now test it and also change the minimum and maximum ranges and you will see you are gonna detect more circles.
It was quite easy but if you have problem in it then ask in comments and I will try my best to solve them. That's all for today, will meet in next tutorial. Till then take care !!! :)