Category Archives: Tutorial

In this video lesson you will learn how to train the Raspberry Pi to take voice commands from you. We do this through the Fusion AI+ hat’s microphone, and a Speech to Text (STT) model. Our goal is to develop the ability to interact with our projects through spoken words. We give commands to the project, and then it responds intelligently with words.

Remember these lessons depend on you using the AI Educational OS, a special version of bookworm that has all the libraries, modules, and models already installed for you. See LESSON #2 in this class for instructions on flashing that OS.

Below is the simple demonstration code we developed to give simple voice commands:

from fusion_hat.stt import STT

stt = STT(language="en-us")

while True:
    print("Say Something: ")
    command = stt.listen(stream=False)
    print(command)

from fusion_hat.stt import STT

stt = STT(language="en-us")

while True:

print("Say Something: ")

command = stt.listen(stream=False)

print(command)

Similar to our Speech to Text example, the first time you run this program you will get a permissions error. You need to open a terminal, and put these commands in one at a time to enable permissions. This only has to be done once, and after that this and all STT programs should run properly.

sudo mkdir -p /opt/vosk_models
sudo chown -R pi:pi /opt/vosk_models
sudo chmod -R 755 /opt/vosk_models

sudo mkdir -p /opt/vosk_models

sudo chown -R pi:pi /opt/vosk_models

sudo chmod -R 755 /opt/vosk_models

AI On the Edge, Tutorial

AI on the Edge LESSON 8: Text to Speech (TTS) on the Raspberry Pi

April 24, 2026 admin

In this video lesson I will show you how to get the Raspberry Pi to speak to you in plain English. This is our first dabbling with AI. In earlier lessons we have discussed that one of our first objectives will be to begin to audibly interact with our project through speech. The first step will be to get the Pi to talk to us. Then in future lessons we will show how to get the Pi to listen to us.

In this lesson we demonstrated simple Text to Speech (TTS) with this code.

Remember this program requires use of the AI Educational OS we flashed in LESSON #2.

from fusion_hat.tts import Piper
tts = Piper()
tts.set_model('en_US-amy-low')
msg = "Hi, I'm piper TTS. Are you Ready to Rumble? I am here to pump you up!"
tts.say(msg, stream=False)

from fusion_hat.tts import Piper

tts = Piper()

tts.set_model('en_US-amy-low')

msg = "Hi, I'm piper TTS. Are you Ready to Rumble? I am here to pump you up!"

tts.say(msg, stream=False)

As we say in the video, the first time you run the program you will get a permission error. This is because the model folders are inside a system folder and must be created as a ‘superuser’ using ‘sudo’. As shown in the video, you need to open a terminal window, and type in these commands at the command prompt (Put them in one at a time):

sudo mkdir -p /opt/piper_models
sudo chown -R pi:pi /opt/piper_models
sudo chmod -R 755 /opt/piper_models

sudo mkdir -p /opt/piper_models

sudo chown -R pi:pi /opt/piper_models

sudo chmod -R 755 /opt/piper_models

You only need to do that one time. Next time you run the program, all will work properly.

Then, in order to hear all the different voice models Piper offers, you can run this program, and each voice will introduce itself to you.

from fusion_hat.tts import Piper
from time import sleep  # Optional: for pauses between voices
tts = Piper()
# Get the dictionary of available en_US models
voiceDict = tts.available_models('en_US')
print(voiceDict)
# Flatten into a single list of full model names
allVoices = []
for voice in voiceDict.values():
    for var in voice:
        allVoices.append(var)
print(allVoices) 

msg = "Hello World. This is a test message."
for voice in allVoices:
    tts.set_model(voice)  # Auto-downloads on first use
    # Create a readable voice name (remove 'en_US-' and replace '_' with space)
    speakableName = voice.replace('en_US-', '').replace('_', ' ')
    print("Switching to: " + speakableName)
    print(voice)
    sleep(5)
    # Introduction in that voice
    intro = "This is the voice " + speakableName + "."
    tts.say("Hello There" + intro)
    #tts.say(msg, stream=False)
    sleep(.1)
print("All voices demonstrated!")
for voice in allVoices:
    print(voice)

from fusion_hat.tts import Piper

from time import sleep # Optional: for pauses between voices

tts = Piper()

# Get the dictionary of available en_US models

voiceDict = tts.available_models('en_US')

print(voiceDict)

# Flatten into a single list of full model names

allVoices = []

for voice in voiceDict.values():

for var in voice:

allVoices.append(var)

print(allVoices)

msg = "Hello World. This is a test message."

for voice in allVoices:

tts.set_model(voice) # Auto-downloads on first use

# Create a readable voice name (remove 'en_US-' and replace '_' with space)

speakableName = voice.replace('en_US-', '').replace('_', ' ')

print("Switching to: " + speakableName)

print(voice)

sleep(5)

# Introduction in that voice

intro = "This is the voice " + speakableName + "."

tts.say("Hello There" + intro)

#tts.say(msg, stream=False)

sleep(.1)

print("All voices demonstrated!")

for voice in allVoices:

print(voice)

Remember in these early lessons we are using this circuit to demo our programs. Please leave this circuit put together.

Fusion Hat Circuit Diagram — This is the circuit we will use moving forward in the class

AI On the Edge, Tutorial

AI on the Edge LESSON 7: Homework Solution for Dimmable LED

April 18, 2026 admin

In Lesson 6, I gave you a homework challenge: build a dimmable LED using a potentiometer. In today’s Lesson 7, we go through the solution together step-by-step.

This lesson is all about taking analog input from a potentiometer and converting it into smooth PWM output to control the brightness of an LED. It’s a very practical project because it teaches you how to read real-world analog values and turn them into useful control signals — skills we’ll use again and again as we build smarter AI-powered projects.

In the video, I walk you through the complete working code. You’ll see how we read the potentiometer value (0 to 4095), convert that raw number into a proper brightness percentage using a bit of math (with a nice logarithmic curve so the brightness feels natural to the human eye), and then send that value to the LED using PWM. The result is a very smooth, responsive dimmer that feels professional.

Even though this seems like a simple project, it’s actually an important stepping stone. Understanding how to read sensors and smoothly control outputs is fundamental to building real AI on the Edge systems — whether you’re controlling motors, adjusting screen brightness, or varying the speed of a robot based on sensor input.

By the end of this lesson, you should have a solid understanding of how to combine the ADC (Analog to Digital Converter) with PWM output, and more importantly, how to think about mapping real-world inputs to useful outputs.

So if you did the homework, great job! If you got stuck, don’t worry — we go through the full solution together. And as always, I strongly encourage you to take the code and make it your own. Try changing the response curve, add multiple LEDs with different colors, or combine it with things we’ve learned in earlier lessons.

This is the kind of foundational hardware skill that will serve you well as we continue moving deeper into the AI on the Edge class. You’re doing great — keep going!

We are still using the schematic from our earlier project.

In this lesson, this is the code which we came up with:

#!/usr/bin/env python3
from fusion_hat.adc import ADC
from fusion_hat.pwm import PWM
from time import sleep
import math
potPin=0
myPot = ADC(0)
redPin=5
redLED=PWM(redPin)

while True:
    potVal = myPot.read()                     # 0 to 4095
    writeVal=100**(potVal/4095)-.005
    redLED.pulse_width_percent(int(writeVal))
    print(potVal,writeVal)
    sleep(0.1)

#!/usr/bin/env python3

from fusion_hat.adc import ADC

from fusion_hat.pwm import PWM

from time import sleep

import math

potPin=0

myPot = ADC(0)

redPin=5

redLED=PWM(redPin)

while True:

potVal = myPot.read() # 0 to 4095

writeVal=100**(potVal/4095)-.005

redLED.pulse_width_percent(int(writeVal))

print(potVal,writeVal)

sleep(0.1)

Arduino, Arduino 9-Axis IMU Totorials, Tutorial

Tilt Compensated Digital Compass

November 14, 2025 admin

In this video lesson we show how to create a tilt compensated digital compass. Calculating heading based simply on the measured magnetometer values in the X and Y directions only works accurately when the compass is sitting flat, or horizontal with the earth’s surface. If we introduce a tilt, either by applying pitch or roll to the system, calculated heading, or yaw will no longer be accurate. In the video above, we show you how to mathematically ‘un-tilt’ the sensor to get accurate heading readings when the device is not perfectly flat.

We are working with a GY-87 9-axis IMU, and an Arduino Uno R4 WiFi. Below is the schematic we are using in this project:

MPU6050 — Schematic for connecting the GY-87 module to the Arduino

For your convenience, the code developed in this video lesson is included below. Please notice that the calibration constants in the code below are for my GY-87 module. You need to calibrate your own module, as my numbers below would likely be different from your numbers. We showed how to do the calibration in THIS LESSON.

#include <Adafruit_MPU6050.h>
#include <Adafruit_Sensor.h>
#include <Wire.h>
#include <QMC5883LCompass.h>
float AxRaw,AyRaw,AzRaw,GxRaw,GyRaw,GzRaw,MxRaw,MyRaw,MzRaw;
float AxCal,AyCal,AzCal,GxCal,GyCal,GzCal,MxCal,MyCal,MzCal;
float rollA,pitchA,yawM,rollC,pitchC,yawC;
float rollG = 0;
float pitchG =0 ;
float yawG = 0;
float deltaRoll = 0;
float deltaPitch = 0;
float deltaYaw = 0;
float alpha = .1;
float rollCrad;
float pitchCrad;

float MxCalH; 
float MyCalH;
int tStart =millis();
Adafruit_MPU6050 mpu;
QMC5883LCompass compass;

void setup() {
  // put your setup code here, to run once:
Serial.begin(115200);
mpu.begin();
mpu.setI2CBypass(true);
compass.init();
mpu.setGyroRange(MPU6050_RANGE_1000_DEG);
delay(100);
}

void calibrateSensors() {
    const float axOffset = 0.45407887789180545;
    const float ayOffset = 0.09432915233553185;
    const float azOffset = -0.4614157209191969;
    const float axScale = 0.10141341897341144;
    const float ayScale = 0.10141341897341144;
    const float azScale = 0.10141341897341144;
    const float gxOffset = -2.277507235645022;
    const float gyOffset = 0.8794902155258137;
    const float gzOffset = -0.5729577951308232;
    const float mxOffset = -103.48885017294003;
    const float myOffset = -96.80085481152321;
    const float mzOffset = 923.8042898128733;
    const float mxScale = 0.001156333898601669;
    const float myScale = 0.001012882116988885;
    const float mzScale = 0.0009400860982065997;
 
    AxCal = (AxRaw - axOffset) * axScale;
    AyCal = (AyRaw - ayOffset) * ayScale;
    AzCal = (AzRaw - azOffset) * azScale;
    GxCal = GxRaw*180/PI - gxOffset;
    GyCal = GyRaw*180/PI - gyOffset;
    GzCal = GzRaw*180/PI - gzOffset;
    MxCal = (MxRaw - mxOffset) * mxScale;
    MyCal = (MyRaw - myOffset) * myScale;
    MzCal = (MzRaw - mzOffset) * mzScale;
}

void loop() {
  // put your main code here, to run repeatedly:
compass.read();
sensors_event_t a, g, temp;
mpu.getEvent(&a, &g, &temp);

AxRaw = a.acceleration.x;
AyRaw = a.acceleration.y;
AzRaw = a.acceleration.z;

GxRaw = g.gyro.x;
GyRaw = g.gyro.y;
GzRaw = g.gyro.z;

MxRaw= compass.getX();
MyRaw= compass.getY();
MzRaw= compass.getZ();

calibrateSensors();

rollA = atan2(AyCal,sqrt(AzCal*AzCal + AxCal*AxCal))*180/PI;
pitchA = atan2(AxCal,sqrt(AzCal*AzCal + AyCal*AyCal))*180/PI;

deltaRoll = GxCal*(millis()-tStart)/1000.;
deltaPitch = -GyCal*(millis()-tStart)/1000.;
deltaYaw = -GzCal*(millis()-tStart)/1000.;
tStart = millis();

rollG = rollG + deltaRoll;
pitchG = pitchG + deltaPitch;
yawG = yawG + deltaYaw;

rollC = alpha*(rollA) + (1-alpha)*(rollC+deltaRoll);
pitchC = alpha*(pitchA) + (1-alpha)*(pitchC+deltaPitch);

rollCrad = rollC*PI/180;
pitchCrad = pitchC*PI/180;

MxCalH = MxCal*cos(pitchCrad) -MyCal*sin(rollCrad)*sin(pitchCrad)-MzCal*cos(rollCrad)*sin(pitchCrad);
MyCalH = MyCal*cos(rollCrad) - MzCal*sin(rollCrad);

yawM = atan2(MyCalH,MxCalH)*180./PI;
yawC = alpha*(yawM) + (1-alpha)*(yawC + deltaYaw);

// Serial.print("yawC:");Serial.print(yawC);Serial.print(',');
// Serial.print("yawM:");Serial.print(yawM);Serial.print(',');
// Serial.print("yawG:");Serial.print(yawG);Serial.print(',');
// Serial.print("LL:");Serial.print(-90);Serial.print(',');
// Serial.print("UL:");Serial.println(90);

Serial.print("rollC:");Serial.print(rollC);Serial.print(',');
Serial.print("pitchC:");Serial.print(pitchC);Serial.print(',');
Serial.print("yawC:");Serial.print(yawC);Serial.print(',');
Serial.print("LL:");Serial.print(-90);Serial.print(',');
Serial.print("UL:");Serial.println(90);

delay(100);
}

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#include <Adafruit_MPU6050.h>

#include <Adafruit_Sensor.h>

#include <Wire.h>

#include <QMC5883LCompass.h>

float AxRaw,AyRaw,AzRaw,GxRaw,GyRaw,GzRaw,MxRaw,MyRaw,MzRaw;

float AxCal,AyCal,AzCal,GxCal,GyCal,GzCal,MxCal,MyCal,MzCal;

float rollA,pitchA,yawM,rollC,pitchC,yawC;

float rollG = 0;

float pitchG =0 ;

float yawG = 0;

float deltaRoll = 0;

float deltaPitch = 0;

float deltaYaw = 0;

float alpha = .1;

float rollCrad;

float pitchCrad;

float MxCalH;

float MyCalH;

int tStart =millis();

Adafruit_MPU6050 mpu;

QMC5883LCompass compass;

void setup() {

// put your setup code here, to run once:

Serial.begin(115200);

mpu.begin();

mpu.setI2CBypass(true);

compass.init();

mpu.setGyroRange(MPU6050_RANGE_1000_DEG);

delay(100);

}

void calibrateSensors() {

const float axOffset = 0.45407887789180545;

const float ayOffset = 0.09432915233553185;

const float azOffset = -0.4614157209191969;

const float axScale = 0.10141341897341144;

const float ayScale = 0.10141341897341144;

const float azScale = 0.10141341897341144;

const float gxOffset = -2.277507235645022;

const float gyOffset = 0.8794902155258137;

const float gzOffset = -0.5729577951308232;

const float mxOffset = -103.48885017294003;

const float myOffset = -96.80085481152321;

const float mzOffset = 923.8042898128733;

const float mxScale = 0.001156333898601669;

const float myScale = 0.001012882116988885;

const float mzScale = 0.0009400860982065997;

AxCal = (AxRaw - axOffset) * axScale;

AyCal = (AyRaw - ayOffset) * ayScale;

AzCal = (AzRaw - azOffset) * azScale;

GxCal = GxRaw*180/PI - gxOffset;

GyCal = GyRaw*180/PI - gyOffset;

GzCal = GzRaw*180/PI - gzOffset;

MxCal = (MxRaw - mxOffset) * mxScale;

MyCal = (MyRaw - myOffset) * myScale;

MzCal = (MzRaw - mzOffset) * mzScale;

}

void loop() {

// put your main code here, to run repeatedly:

compass.read();

sensors_event_t a, g, temp;

mpu.getEvent(&a, &g, &temp);

AxRaw = a.acceleration.x;

AyRaw = a.acceleration.y;

AzRaw = a.acceleration.z;

GxRaw = g.gyro.x;

GyRaw = g.gyro.y;

GzRaw = g.gyro.z;

MxRaw= compass.getX();

MyRaw= compass.getY();

MzRaw= compass.getZ();

calibrateSensors();

rollA = atan2(AyCal,sqrt(AzCal*AzCal + AxCal*AxCal))*180/PI;

pitchA = atan2(AxCal,sqrt(AzCal*AzCal + AyCal*AyCal))*180/PI;

deltaRoll = GxCal*(millis()-tStart)/1000.;

deltaPitch = -GyCal*(millis()-tStart)/1000.;

deltaYaw = -GzCal*(millis()-tStart)/1000.;

tStart = millis();

rollG = rollG + deltaRoll;

pitchG = pitchG + deltaPitch;

yawG = yawG + deltaYaw;

rollC = alpha*(rollA) + (1-alpha)*(rollC+deltaRoll);

pitchC = alpha*(pitchA) + (1-alpha)*(pitchC+deltaPitch);

rollCrad = rollC*PI/180;

pitchCrad = pitchC*PI/180;

MxCalH = MxCal*cos(pitchCrad) -MyCal*sin(rollCrad)*sin(pitchCrad)-MzCal*cos(rollCrad)*sin(pitchCrad);

MyCalH = MyCal*cos(rollCrad) - MzCal*sin(rollCrad);

yawM = atan2(MyCalH,MxCalH)*180./PI;

yawC = alpha*(yawM) + (1-alpha)*(yawC + deltaYaw);

// Serial.print("yawC:");Serial.print(yawC);Serial.print(',');

// Serial.print("yawM:");Serial.print(yawM);Serial.print(',');

// Serial.print("yawG:");Serial.print(yawG);Serial.print(',');

// Serial.print("LL:");Serial.print(-90);Serial.print(',');

// Serial.print("UL:");Serial.println(90);

Serial.print("rollC:");Serial.print(rollC);Serial.print(',');

Serial.print("pitchC:");Serial.print(pitchC);Serial.print(',');

Serial.print("yawC:");Serial.print(yawC);Serial.print(',');

Serial.print("LL:");Serial.print(-90);Serial.print(',');

Serial.print("UL:");Serial.println(90);

delay(100);

}

Arduino, Tutorial

Using Arduino and MPU6050 to Measure Rotational Velocity with the Gyros

August 21, 2025 admin

In this video lesson I show you how you can measure rotational velocity using the gyroscopes on the MPU6050 IMU module on the GY-87 board.

Below is the code which we develop in this lesson.

#include <Adafruit_MPU6050.h>
#include <Adafruit_Sensor.h>
#include <Wire.h>
float Ax;
float Ay;
float Az;

float Gx;
float Gy;
float Gz;

// If You want Calibrated results, you must rotate
// your board to all possible orientations, and
// record your velues of xMax, xMin, yMax, yMin
// zMax, zMin. I show you how to do that in LESSON
// 79 on my youtube channel. Put in your values and then
// uncomment the code below. Don't use my values, you have
// to measure your own for it to work.

// float xMax= 1.03;
// float xMin= -.97;
// float yMax= .98;
// float yMin= -1.01;
// float zMax=.96 ;
// float zMin= -1.08;

// float xOffset = (xMax+xMin)/2;
// float yOffset = (yMax+yMin)/2;
// float zOffset = (zMax+zMin)/2;

// float xScale = 2/(xMax -xMin);
// float yScale = 2/(yMax - yMin);
// float zScale = 2/(zMax -zMin);

float roll = 0;
float pitch = 0;
float rollRAW;
float pitchRAW;

Adafruit_MPU6050 mpu;

void setup() {
  // put your setup code here, to run once:
  Serial.begin(115200);
  mpu.begin();
  Serial.println("MPU6050 Started!");
  mpu.setAccelerometerRange(MPU6050_RANGE_2_G);
  mpu.setGyroRange(MPU6050_RANGE_250_DEG);
  mpu.setFilterBandwidth(MPU6050_BAND_21_HZ);
}

void loop() {
  // put your main code here, to run repeatedly:
  sensors_event_t a, g, temp;
  mpu.getEvent(&a, &g, &temp);
  Ax = a.acceleration.x / 9.81;
  Ay = a.acceleration.y / 9.81;
  Az = a.acceleration.z / 9.81;

  Gx = g.gyro.x;
  Gy = g.gyro.y;
  Gz = g.gyro.z;



  //Uncomment these lines of code to do the callibration
  //This will only work if you have measured your max
  //and min values, and put them in at the top of the code
  // Ax = xScale*(Ax-xOffset);
  // Ay = yScale*(Ay-yOffset);
  // Az = zScale*(Az-zOffset);

  pitchRAW = atan2(Ay, sqrt(Az * Az + Ax * Ax)) * 360 / (2 * 3.14);
  rollRAW = atan2(Ax, sqrt(Az * Az + Ay * Ay)) * 360 / (2 * 3.14);

  pitch = .75 * pitch + .25 * pitchRAW;
  roll = .75 * roll + .25 * rollRAW;

  Serial.print("Gx:");
  Serial.print(Gx);
  Serial.print(',');
  Serial.print("Gy:");
  Serial.print(Gy);
  Serial.print(',');
  Serial.print("Gz:");
  Serial.print(Gz);
  Serial.print(',');
  Serial.print("UL:");
  Serial.print(5);
  Serial.print(',');
  Serial.print("LL:");
  Serial.println(-5);

  //   Serial.print("Ax:");
  //   Serial.print(Ax);
  //   Serial.print(',');
  //   Serial.print("Ay:");
  //   Serial.print(Ay);
  //   Serial.print(',');
  //     Serial.print("Az:");
  //   Serial.print(Az);
  //   Serial.print(',');
  //  Serial.print("UL:");
  //  Serial.print(1);
  //  Serial.print(',');
  //  Serial.print("LL:");
  //  Serial.println(-1);
  delay(10);
}

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#include <Adafruit_MPU6050.h>

#include <Adafruit_Sensor.h>

#include <Wire.h>

float Ax;

float Ay;

float Az;

float Gx;

float Gy;

float Gz;

// If You want Calibrated results, you must rotate

// your board to all possible orientations, and

// record your velues of xMax, xMin, yMax, yMin

// zMax, zMin. I show you how to do that in LESSON

// 79 on my youtube channel. Put in your values and then

// uncomment the code below. Don't use my values, you have

// to measure your own for it to work.

// float xMax= 1.03;

// float xMin= -.97;

// float yMax= .98;

// float yMin= -1.01;

// float zMax=.96 ;

// float zMin= -1.08;

// float xOffset = (xMax+xMin)/2;

// float yOffset = (yMax+yMin)/2;

// float zOffset = (zMax+zMin)/2;

// float xScale = 2/(xMax -xMin);

// float yScale = 2/(yMax - yMin);

// float zScale = 2/(zMax -zMin);

float roll = 0;

float pitch = 0;

float rollRAW;

float pitchRAW;

Adafruit_MPU6050 mpu;

void setup() {

// put your setup code here, to run once:

Serial.begin(115200);

mpu.begin();

Serial.println("MPU6050 Started!");

mpu.setAccelerometerRange(MPU6050_RANGE_2_G);

mpu.setGyroRange(MPU6050_RANGE_250_DEG);

mpu.setFilterBandwidth(MPU6050_BAND_21_HZ);

}

void loop() {

// put your main code here, to run repeatedly:

sensors_event_t a, g, temp;

mpu.getEvent(&a, &g, &temp);

Ax = a.acceleration.x / 9.81;

Ay = a.acceleration.y / 9.81;

Az = a.acceleration.z / 9.81;

Gx = g.gyro.x;

Gy = g.gyro.y;

Gz = g.gyro.z;

//Uncomment these lines of code to do the callibration

//This will only work if you have measured your max

//and min values, and put them in at the top of the code

// Ax = xScale*(Ax-xOffset);

// Ay = yScale*(Ay-yOffset);

// Az = zScale*(Az-zOffset);

pitchRAW = atan2(Ay, sqrt(Az * Az + Ax * Ax)) * 360 / (2 * 3.14);

rollRAW = atan2(Ax, sqrt(Az * Az + Ay * Ay)) * 360 / (2 * 3.14);

pitch = .75 * pitch + .25 * pitchRAW;

roll = .75 * roll + .25 * rollRAW;

Serial.print("Gx:");

Serial.print(Gx);

Serial.print(',');

Serial.print("Gy:");

Serial.print(Gy);

Serial.print(',');

Serial.print("Gz:");

Serial.print(Gz);

Serial.print(',');

Serial.print("UL:");

Serial.print(5);

Serial.print(',');

Serial.print("LL:");

Serial.println(-5);

// Serial.print("Ax:");

// Serial.print(Ax);

// Serial.print(',');

// Serial.print("Ay:");

// Serial.print(Ay);

// Serial.print(',');

// Serial.print("Az:");

// Serial.print(Az);

// Serial.print(',');

// Serial.print("UL:");

// Serial.print(1);

// Serial.print(',');

// Serial.print("LL:");

// Serial.println(-1);

delay(10);

}

Technology Tutorials

Category Archives: Tutorial

AI on the Edge LESSON 10: Make Your Raspberry Pi Listen to You with Voice Commands

AI on the Edge LESSON 8: Text to Speech (TTS) on the Raspberry Pi

AI on the Edge LESSON 7: Homework Solution for Dimmable LED

Tilt Compensated Digital Compass

Using Arduino and MPU6050 to Measure Rotational Velocity with the Gyros

Making The World a Better Place One High Tech Project at a Time. Enjoy!