How to Install MATLAB R2026a on Windows 11 + Real-Time Arduino Sensor Monitoring Project

1 Project Overview

In this complete tutorial, you will learn how to download and install MATLAB R2026a on Windows 11 from scratch — and then go further by building a real, working real-time IR sensor monitoring project using an Arduino UNO and MATLAB’s live plot capabilities.

This guide is perfect for engineering students, embedded systems beginners, and anyone who wants to use MATLAB as a powerful data visualization layer on top of physical sensors.

📌 Overview of MATLAB ↔ Arduino serial communication architecture

2 System Requirements

Before downloading MATLAB R2026a, make sure your PC meets these minimum specifications:

3 Download MATLAB R2026a

MathWorks provides MATLAB R2026a as a free trial or via institutional/student license. Follow these steps to download it officially:

📌 MATLAB R2026a — Official MathWorks product. Download from mathworks.com only.

4 Installing MATLAB R2026a on Windows 11

Once the installer is downloaded, follow these steps carefully for a clean installation:

5 Hardware You Need

For the real-time sensor monitoring project, gather the following components:

• Arduino UNO — Main microcontroller board
• IR Sensor Module (TCRT5000 or FC-51) — Infrared obstacle/proximity sensor
• USB Type-B Cable — To connect Arduino to your PC
• Breadboard — For neat, solderless connections
• Jumper Wires (Male-to-Male) — At least 5 wires
• PC running Windows 11 with MATLAB R2026a installed

📌 Arduino UNO R3 — The microcontroller used in this project

6 Arduino IR Sensor Wiring

The IR sensor module has 3 pins: VCC, GND, and OUT. Connect them to your Arduino UNO as follows:

📌 IR sensor module wired to Arduino UNO — VCC → 5V, GND → GND, OUT → Pin 7

7 Arduino Code

Upload this sketch to your Arduino UNO using the Arduino IDE. It reads the IR sensor and sends the value over serial to MATLAB:

// IR Sensor Real-Time Monitoring for MATLAB
// Schematic World — youtube.com/@SchematicWorld

const int sensorPin = 7;   // IR sensor OUT → Digital Pin 7
int sensorValue = 0;

void setup() {
  Serial.begin(9600);              // Match this in MATLAB
  pinMode(sensorPin, INPUT);
}

void loop() {
  sensorValue = digitalRead(sensorPin);
  Serial.println(sensorValue);       // Send 0 or 1 to MATLAB
  delay(100);                        // 100ms = 10 readings/second
}

How It Works

The IR sensor outputs a LOW (0) signal when an object is detected in front of it, and a HIGH (1) signal when no object is detected. The Arduino reads this value every 100ms and sends it over the serial port at 9600 baud. MATLAB reads this stream and plots it in real time.

8 MATLAB Arduino Setup

Before running the MATLAB code, install the required support package and identify your COM port:

% Run this in MATLAB to confirm your COM port
serialportlist

% Expected output example:
% ans = "COM4"

9 MATLAB Real-Time Monitoring Code

This is the main MATLAB script. It opens the serial port, reads IR sensor data from Arduino, and plots it as a live updating graph:

% =====================================================
%  Real-Time IR Sensor Monitoring via Arduino + MATLAB
%  Schematic World — youtube.com/@SchematicWorld
% =====================================================

%% 1. Setup Serial Connection
clear; clc; close all;

comPort  = 'COM4';          % ← Change to YOUR COM port
baudRate = 9600;
s = serialport(comPort, baudRate);
configureTerminator(s, 'LF');

disp('Serial port connected. Reading sensor...');

%% 2. Prepare Live Plot
maxPoints = 100;              % Scroll window size
dataBuffer = zeros(1, maxPoints);
timeBuffer = zeros(1, maxPoints);

figure('Name', 'Real-Time IR Sensor — Schematic World', ...
       'NumberTitle', 'off', 'Color', [0.05 0.07 0.12]);

h = plot(timeBuffer, dataBuffer, '-o', ...
    'Color',     [0 0.78 1], ...
    'LineWidth', 2, ...
    'MarkerSize', 4);

ylim([-0.2  1.2]);
xlabel('Time (samples)'); 
ylabel('Sensor Output (0=Object / 1=Clear)');
title('IR Sensor Real-Time Data');
grid on;

%% 3. Live Reading Loop
t = 0;
while true
  rawLine = readline(s);
  val = str2double(strtrim(rawLine));

  if ~isnan(val)
    t = t + 1;
    dataBuffer = [dataBuffer(2:end), val];
    timeBuffer = [timeBuffer(2:end), t];

    h.XData = timeBuffer;
    h.YData = dataBuffer;
    xlim([timeBuffer(1), timeBuffer(end) + 1]);
    drawnow limitrate;
  end
end

% To stop: press Ctrl+C in MATLAB, then run:
% clear s

10 Results & Live Output

Once both sketches are running, MATLAB will display a real-time scrolling graph of your IR sensor values:

• Value = 0 — Object detected in front of the IR sensor
• Value = 1 — No object / path is clear
• The graph scrolls automatically, showing the last 100 readings
• Waving your hand in front of the sensor will create a visible spike pattern

📌 Example of a real-time live graph in MATLAB — your IR sensor output will look similar

Troubleshooting Tips