iOS and Arduino Bluetooth Communication Using The BLExAR App and CC2541 Module
iOS and Arduino Bluetooth Communication Using The BLExAR App and CC2541 Module

An app called “BLExAR” allows Arduino users to communicate to an iOS device (iPhone or iPad) using a Bluetooth CC2541 module (different versions are called: HM-10, SH-M08, AT-09, or JDY-08). The app permits control of an Arduino board, wireless serial communication, and data acquisition. Click on the app logo shown here to download the app, as it will be used as the iOS communication software. On the Arduino side, we need to wire the CC2541 Bluetooth Low Energy (BLE) module to an Arduino board and upload the appropriate software via the Arduino IDE. In this tutorial, we will demonstrate how to verify communication between an Arduino and CC2541 Bluetooth module, and then use Bluetooth communication to send strings between an iOS device and the Arduino ATmega328p board.

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Arduino, Bluetooth, ElectronicsJoshua HriskoArduino IoT, Arduino Internet of Things, Arduino Code, HM-10, HM-10 Bluetooth, SH-M08 Bluetooth, AT-09 Bluetooth, AT-09, CC2541, CC2541 Bluetooth, Arduino Bluetooth, BLExAR, Arduino Serial, Arduino Serial Communication, BLE, Arduino BLE, iOS Bluetooth, Arduino iOS, Arduino iPhone, Arduino iPhone BLE, Arduino iOS Bluetooth Comments
Arduino SoftPot LED Meter (Membrane Potentiometer)
Arduino SoftPot LED Meter (Membrane Potentiometer)

How to use a soft, circular-membrane potentiometer with an Arduino board. Potentiometers function by altering the voltage of a system by mechanically changing the resistance associated with a voltage divider. In a traditional potentiometer (think of turning a volume knob), we are physically changing the voltage of a system. In the case of a soft potentiometer (where the name SoftPot comes from), we are altering the resistance of the voltage divider by physically depressing the potentiometer, thereby changing the resistance at a contact point. The working principle is exactly the same, but in the SoftPot’s case, we are pressing, and for a knob we are rotating.

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Arduino, ElectronicsJoshua HriskoSoftPot, Arduino SoftPot, Arduino Potentiometer, Arduino, Arduino Code, Arduino Project, Electronics, Wiring, DIY, LEDs, Light, Breadboard, Membrane Potentiometer, Membrane Pot, Arduino Membrane Potentiometer, Arduino SoftPot Tutorial, Arduino Tutorial, Arduino Potentiometer Project, SoftPot Arduino, SoftPot Arduino Project, Potentiometer, Potentiometer Tutorial, Potentiometer Arduino Tutorial, Membrane Potentiometer Project, Arduino SoftPot ExperimentComment
Arduino Tachometer - Using a Hall Effect Sensor (A3144) to Measure Rotations from a Fan
Arduino Tachometer - Using a Hall Effect Sensor (A3144) to Measure Rotations from a Fan

Arduino tachometer used to calculate the rotational motion of a part. Tachometers read out revolutions per minute (RPM), which tells the user how often a rotating part completes one full rotation. RPM readings are used in the automotive, aerospace, and manufacturing fields. Tachometers can indicate fuel consumption and motor speed, safety of moving parts, and even wind speed indicators. In this tutorial, the speed of a fan is measured using a hall sensor and neodymium magnet to acquire an accurate depiction of fan speed.

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Arduino, Electronics, EngineeringJoshua HriskoTachometer, Arduino Tachometer, Arduino Speed Gauge, Arduino Tach, RPM, Rotations Per Minute, DC Fan, Fan, Blower, Engineering, Engineer, Hall Sensor, Hall Effect, A3144, A3144 Hall Sensor, A3144 Hall Effect, Rotation, Magnetic, electromagnetic, Electromagnetic, Hall, Experiment, Arduino Experiment, Neodymium, Neodymium Magnet, Revolution Counter, RPM Gauge, Rev-Counter, ENGR101, Sensor Comments
Capacitive Touch Sensor with Arduino
Capacitive Touch Sensor with Arduino

Capacitive sensing from human touch. Create a switch without any moving parts with an Arduino board and an inexpensive capacitive touch sensor.

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Arduino, ElectronicsJoshua HriskoCapacitive Touch, Capacitive, Arduino Capacitive Touch, Arduino Experiment, Arduino IDE, Arduino Sensor, Arduino Capacitive, Arduino Capacitive Sensor, Arduino Touch Sensor, Arduino Touch, Arduino Project, Arduino Uno, Arduino Wiring, Analog, Analog Read, Arduino Serial, Arduino Digital, Arduino Digital Write, Arduino LED, ENGR101, Capacitive Touch Sensor, Arduino Tutorial, Arduino Touch Tutorial, Arduino Capacitive Tutorial, Capacitive Touch Tutorial, Capacitive Arduino, Capacitive Touch Arduino, Sensor Comments
Audio Processing in Python Part III: Guitar String Theory and Frequency Analysis
Audio Processing in Python Part III: Guitar String Theory and Frequency Analysis

In this continuation of the audio processing in Python series, I will be discussing the live frequency spectrum and its application to tuning a guitar. I will introduce the idea of nodes and antinodes of a stringed instrument and the physical phenomena known as harmonics. This will give us a better idea of how to tune the guitar string-by-string and also discern the notes of a given chord - all calculated using the FFT function in Python.

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Data Analysis, Engineering, Programming, Python, Raspberry PiJoshua HriskoAcoustics and Vibration, Acoustics, Raspberry Pi Acoustics, Guitar, Frequency Spectrum, Frequency Analysis, Guitar String Physics, Guitar String, Audio, Raspberry Pi Audio, Raspberry Pi pyaudio, Modes of a String, String Modes, Physics, Signal Processing, Digital Signal Processing, Acoustic Guitar, Guitar Frequencies, FFT, Fast Fourier Transform, Python FFT, Python Code, Python Spectrum, Python Frequency Spectrum, Python Real-Time, Aero-Thermal, Raspberry Pi, Raspberry Pi Datalogger, raspberry piComment
Audio Processing in Python Part II: Exploring Windowing, Sound Pressure Levels, and A-Weighting Using an iPhone X
Audio Processing in Python Part II: Exploring Windowing, Sound Pressure Levels, and A-Weighting Using an iPhone X

Raspberry Pi 3B+ acoustic analysis using Python. Audio recording and signal processing with Python, beginning with a discussion of windowing and sampling, which will outline the limitations of the Fourier space representation of a signal. Discussion of the frequency spectrum, and weighting phenomenon in relation to the human auditory system will also be explored. Lastly, the significance of microphone pressure units and conversion to the decibel will be briefly introduced and explained.

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Data Analysis, Engineering, Python, Programming, Raspberry PiJoshua HriskoRaspberry Pi, Acoustics, Acoustics and Vibration, Raspberry Pi Audio, Raspberry Pi Acoustics, Signal Processing, Digital Signal Processing, Audio, Raspberry Pi pyaudio, Python Audio, pyaudio, Python pyaudio, Nyquist, Sample Rate, Sampling, Spectrum, Frequency Spectrum, FFT, Fast Fourier Transform, Decibel, Decibels, Logarithm, A-Weighting, SPL, Sound Pressure Level, Sound Level Meter, Sound, iPhone, iPhone X Sound, Aero-Thermal Comments
Audio Processing in Python Part I: Sampling, Nyquist, and the Fast Fourier Transform
Audio Processing in Python Part I: Sampling, Nyquist, and the Fast Fourier Transform

Fourier Series has been widespread in applications of engineering ranging from heat transfer, vibration analysis, fluid mechanics, noise control, and much more. After evolutions in computation and algorithm development, the use of the Fast Fourier Transform (FFT) has also become ubiquitous in applications in acoustic analysis and even turbulence research. In this tutorial, I describe the basic process for emulating a sampled signal and then processing that signal using the FFT algorithm in Python. This will allow the user to get started with analysis of acoustic-like signals and understand the fundamentals of the Fast Fourier Transform.

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Data Analysis, Engineering, PythonJoshua HriskoFast Fourier Transform, FFT, Digital Signal Processing, DSP, Signal Processing, Sampling, Sample Rate, Fourier, DFT, Python, matplotlib, sinusoidal, sine wave, cosine wave, Aero-Thermal, Acoustics, Acoustics and Vibration Comments
Arduino I2C OLED Display - Temperature and Humidity Display (SSD1306)
Arduino I2C OLED Display - Temperature and Humidity Display (SSD1306)

How to print temperature and humidity readings onto a 0.96 inch I2C OLED display. The device is DIYMall's inexpensive, high resolution (128x64 pixels), yellow and blue organic LED display that is designed for use with the Arduino platform. Together with a DHT22 temperature sensor, the tiny OLED screen will display real-time humidity and temperature data using an Adafruit library and an Arduino Uno board. This project can be expanded upon to print data from a wide array of sensors, and even grab data from the internet to print values for a smart and interactive display.

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Arduino, ElectronicsJoshua HriskoOLED, I2c, I2C, Arduino Display, Arduino I2c Display, Arduino OLED, Arduino Temperature, Arduino Humidity, Arduino SSD1306, SSD1306, SSD1306 Display, Arduino LCD, SensorComment
How to Create a Rotating Globe Using Python and the Basemap Toolkit
How to Create a Rotating Globe Using Python and the Basemap Toolkit
GIS, Programming, PythonJoshua HriskoGlobe, Python, Python Graph, Python Code, Python Visual, Python GIF, Python Real-Time, Python Language, Python Live, Python Programming, Visualization, Basemap, Coding in Python, Geographic Mapping, GIS, GIS in Python, GIS Mapping, Python Basemap, Python Map, Python Geography, Python matplotlib, matplotlib, Basemap Toolkit, Python Visualization, Python Plot, Python Globe, Python Latitude, Python Coordinates Comments
Python Microcontroller: Getting Started with Adafruit's Trinket M0 and CircuitPython
Python Microcontroller: Getting Started with Adafruit's Trinket M0 and CircuitPython

In this tutorial I will cover one of the newest microcontroller interface languages, Python, and demonstrate Adafruit's powerful Trinket M0 microcontroller and its capabilities using Python as its programming language. Much of what is outlined below can be seen on Adafruit's website [UART communication, Trinket info, CircuitPython Basics].

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Electronics, Engineering, Data Analysis, Programming, PythonJoshua Hriskomicrocontroller, CircuitPython, Python, Programming, Electronics, Adafruit, Trinket, Trinket M0, Bluetooth, BLE, Mu Editor, Mu, Raspberry Pi, Sketch, Smartphone, Adafruit Trinket M0, Arduino Bluetooth, Arduino Trinket, Arduino PythonComment