
Explore acquiring and generating analog signals with an Arduino board, using analog inputs, power pins, and sine-wave examples; program with the Arduino IDE for real-time data capture.
Download and install the Arduino IDE, select your Windows version, install drivers, connect the Arduino board via USB, and verify board and port in the IDE.
Download and install Matlab from the official site, log in with institutional credentials, and select required toolboxes (Simulink, control system toolbox, data acquisition toolbox, etc.) during installation.
Generate a digital signal with Arduino by setting pin 13 as output, uploading the program, and toggling the pin high and low to drive the LED.
Configure Arduino to acquire a digital signal by reading a digital input on pin 2, and output 0s and 1s to the serial monitor at 9600 baud.
Learn to acquire an analog signal with an Arduino, wiring a potentiometer to the A0 pin, reading values via analogRead, and printing readings to the serial monitor with a delay.
Acquire analog voltage signals with the Arduino IDE, using analogRead and the serial monitor to derive and observe voltage values as the input changes.
Acquire digital signals and generate digital signals using an Arduino setup, reading pin states, applying pull-up or pull-down configurations, and enabling real-time data acquisition with MATLAB.
Learn to blink a light-emitting diode on an Arduino board by writing high and low digital signals with a one-second delay, using pin 13 or other pins.
Control LCD brightness by generating an analog signal with Arduino PWM on pin 10, fading the output using a brightness variable and a fixed fading amount with delays.
Learn touch sensor interfacing with Arduino for real-time data acquisition, generating and acquiring a digital signal, and monitoring the output via the serial monitor with simple code adjustments.
Demonstrates configuring a pull-up on an Arduino digital input, reading pin 2, printing values to the serial monitor, and driving pin 10 as an output for real-time data acquisition.
Explain pull up and pull down configurations for Arduino inputs, including why open pins read high with pull up. The IDE supports only pull up, not pull down, for inputs.
Learn how to use ChatGPT to generate Arduino code for digital input and output on an Arduino Uno, wiring an LDR sensor and LED to build a street light project.
Explore graphical programming in LabVIEW, using front panel controls, block diagrams, and data-flow execution. Build interactive apps with colors, wires, clusters, and loops, then run and debug.
Learn to interface Arduino with LabVIEW using LINX, install the software and drivers, configure the COM port, and build a blink program with sensors like LCD and sonic sensor.
Explore the Arduino Nano introduction, including digital and analog pins, input/output capabilities, voltage ranges, clock speed, and board features like reset, 3.3V supply, and USB connection.
Learn to perform real-time data acquisition by reading an analog signal with an Arduino Nano, using the analog read on input channel A0 and a serial interface.
Real-time digital signal acquisition with an Arduino Nano and MATLAB, guiding port setup, baud rate 9600, digital input reading, LCD display, and hardware verification of on/off states.
Learn how to generate digital signals with an Arduino Nano by interfacing it with your lab program, using simple read/write controls and a button-triggered on/off signal.
Acquire multiple analog signals from an Arduino Nano using MATLAB/Simulink, setting up read signal blocks for several pins, and visualize continuous voltage measurements with indicators.
Connect a buzzer to an Arduino Nano, configure an analog signal path, and control the buzzer with a software interface and a button to generate on/off signals.
Learn to interface an infrared sensor with an LED using an Arduino Nano, wiring ground and Vcc, reading a digital output on pin 5, and visualizing results in MATLAB.
Interface the DHT11 humidity and temperature sensor with Arduino for real-time data acquisition. Understand hardware pin connections and the software workflow to read temperature and humidity.
Learn to wire a flame sensor to an Arduino Nano, read its signal to detect flame presence, and implement continuous monitoring with a simple program.
Learn to interface the MQ3 gas sensor with an Arduino Nano for real-time data acquisition using MATLAB, including alcohol detection and gas sensing with analog and digital pin connections.
Learn to interface a PIR sensor with an Arduino Nano, read analog on pin eight, and generate digital output on pin seven, with continuous reading and LCD display.
Interface a relay module with an Arduino Nano, wiring ground and signal, and generate control signals to switch the relay on and off, with LED indicators.
Learn to interface a touch sensor with an Arduino Nano, read analog signals, and drive an LED to demonstrate real-time data in the Arduino-MATLAB setup.
Interface an ultrasonic sensor with an Arduino Nano and LED, using a software program to display real-time distance measurements in centimeters and inches as you move your hand.
Demonstrate real-time pump control by wiring a dc motor to an Arduino Mega, using a transistor and relay as a switch to turn the motor on and off.
Integrate real-time data acquisition using Arduino-MATLAB to control an RGB LED, wire it to digital pins, and observe color changes such as red, blue, and orange.
Interface a capacitive touch sensor and buzzer with an Arduino Mega 2560, read the sensor on pin 7, drive the buzzer on pin 8, and display results on an LCD.
Install MATLAB and the Arduino hardware and simulator support packages, then interface Arduino with MATLAB using Simulink blocks and commands to read analog input and control outputs.
Learn how to interface an infrared sensor with MATLAB using analog input. Configure pins, read sensor output, and convert ADC counts to voltage with Simulink blocks and MATLAB math toolbox.
Discover how to generate a pwm signal using Matlab within an Arduino-Matlab workflow. Configure the pin, set the period and 50% duty cycle, and run simulations to drive a buzzer.
Learn to interface an LDR sensor with Arduino using MATLAB, configure hardware connections and simulation, and monitor real-time data outputs through MATLAB.
Learn to acquire analog input from a potentiometer with MATLAB, wire it to an analog pin, configure hardware, and display the real-time reading with a scaling formula.
Learn to use Blink 2.0 to control a NodeMCU with virtual pins and data streams, set up dashboards, and integrate mobile app control for real-time led switching.
Learn to interface NI data acquisition hardware with MATLAB using the data acquisition toolbox, install the toolbox and MAX, and configure analog and digital input/output for USB devices.
acquire a digital signal with daq 6001 using a digital input pin, ground, and 5-volt reference, and visualize results in matlab with scope or display, showing 0 or 1 outputs.
Demonstrate digital signal generation with MATLAB and USB DAQ 6001, wiring a LED to pin 0, using data acquisition toolbox and Simulink, converting pulse generator output to boolean for on-off.
Generate analog outputs using the NI USB 6001 DAQ and MATLAB by configuring A0, setting a 1000 samples per second sample rate, and applying a controllable step signal.
Acquire real-time analog signals using USB DAQ cards with MATLAB. Learn wiring potentiometer in differential mode, set analog input pin 0, configure voltage range and DC coupling, and visualize results.
Learn to load and visualize sensor data with NI DAQ 6001 in MATLAB, using analog input from a potentiometer, Simulink blocks, and data export to workspace and Excel for plotting.
Interface an infrared sensor with MATLAB using the NI USB-6001 to acquire digital signals in real time, configure ports, and visualize changes on a scope.
generate multiple digital signals with MATLAB and NI USB-DAQ 6001, wiring pins and LEDs, using Simulink blocks and boolean data conversion to drive four outputs via a mux.
Acquire multiple digital signals with MATLAB and a USB DAQ 6001 using an eye tracker and a demux to separate three input lines, then display the values in software.
Learn how to interface a Pir sensor with an NI USB-6001 using MATLAB to acquire digital motion signals, and adjust range and delay via potentiometers.
Learn to interface a capacitive touch sensor with a DAC device using MATLAB and NI USB-6001, focusing on proper pin wiring, digital signal acquisition, and debugging with a scope.
Learn to interface the NI USB-6001 with Matlab for real-time control of an AC appliance via a relay, using analog output on A0 and the DAC data acquisition toolbox.
Control a dc motor with a USB-6001 DAQ and Matlab by interfacing analog output to a Darlington transistor pair, boosting current for motor torque and adjustable speed.
Control an ac appliance by sensing with an infrared sensor and converting the digital signal to a relay drive through the daq 6001 analog output, with threshold-based switching.
Control an ac appliance with a touch sensor and relay using Arduino, MATLAB, and a USB 6001 DAC, adjusting thresholds and signal levels for reliable data acquisition and generation.
Unlock the power of embedded systems and real-time interfacing through this comprehensive course on Arduino-based development and data acquisition. Designed for students, hobbyists, engineers, and innovators, this course provides a hands-on, immersive introduction to the Arduino hardware and software ecosystem, enabling you to build intelligent and interactive electronic systems from the ground up.
At its core, Arduino is a versatile, open-source platform that bridges the digital and physical worlds. In this course, you will learn to harness the capabilities of Arduino to read and control real-world parameters using various sensors and actuators. Through a blend of theoretical foundations and extensive practical sessions, you will explore how to connect and program the Arduino Uno board, understand its microcontroller architecture, work with digital, analog, and PWM signals, and interpret hardware schematics and pin configurations.
The course begins with an exploration of the Arduino development environment (IDE), board composition, and the fundamental programming structure based on C/C++. You’ll then dive into the acquisition and generation of signals—learning how to process analog and digital inputs from sensors and how to control outputs such as LEDs, motors, and displays. The intricacies of pull-up and pull-down resistors are covered to ensure signal integrity and reliable interfacing with switches and digital inputs.
One of the key highlights of this course is the integration of Arduino with MATLAB and LabVIEW—two powerful environments for real-time data visualization, signal processing, and automation. You’ll learn how to acquire data from the Arduino into MATLAB for advanced analysis, and how to build LabVIEW VIs (Virtual Instruments) for graphical programming and control. This dual-platform approach empowers you to bridge embedded hardware with high-level engineering tools used in industry and research.
Additionally, you will explore touch sensor interfacing, understand how to use serial communication protocols, and build interactive systems with immediate feedback from the physical world. Whether you’re working on academic projects, DIY automation, or prototyping commercial products, this course equips you with the necessary skills to bring ideas to life.
By the end of this course, you will not only gain deep insights into Arduino-based design but also build a solid foundation for advanced microcontroller programming, sensor fusion, IoT development, and system integration using cutting-edge software platforms. Join us to transform your curiosity into creation, and master the art of real-time interaction with the physical world.