Uploaded February 2026 | Updated September 2026, 2 weeks ago
Time to Gear Up! I promised a new AI on the Edge Class for all you guys that have been asking for one. The class will drop in March, so the time has arrived to Gear Up for it. This video describes our down select, and it will show the winner, and the hardware you will need. For the class you will need a:
AI Fusion Lab Kit, available here:
amzn.to/4cla6re
[At this time you can order the kit. The kit will ship when the units arrive at Amazon, which should be in the next few weeks. Order now, so you don't miss out on the first batch to hit Amazon]
You will also need a pi 5. Get one with as much memory as you can afford, but most pi 5's should work for the class. This is a link.
amzn.to/40Gek5n
You will also need power supply and cabling and such, but I assume at this point you have those things. You need a power supply designed for the Pi, the HDMI cable and wireless keyboard and mouse. Hopefully most of you already have those.
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
patreon.com/PaulMcWhorter
In this video I go through the analysis I used to select this hardware platform. Please go ahead and order your gear so we can all begin our class together in March. The tutorials are free, so you will not want to miss these valuable lessons.
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. This means if you visit the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.]
#AI
#raspberrypi
#Tutorial -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided "AS IS", without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content.
Time to Gear Up! I promised a new AI on the Edge Class for all you guys that have been asking for one. The class will drop in March, so the time has arrived to Gear Up for it. This video describes our down select, and it will show the winner, and the hardware you will need. For the class you will need a:
AI Fusion Lab Kit, available here:
amzn.to/4cla6re
[At this time you can order the kit. The kit will ship when the units arrive at Amazon, which should be in the next few weeks. Order now, so you don't miss out on the first batch to hit Amazon]
You will also need a pi 5. Get one with as much memory as you can afford, but most pi 5's should work for the class. This is a link.
amzn.to/40Gek5n
You will also need power supply and cabling and such, but I assume at this point you have those things. You need a power supply designed for the Pi, the HDMI cable and wireless keyboard and mouse. Hopefully most of you already have those.
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
patreon.com/PaulMcWhorter
In this video I go through the analysis I used to select this hardware platform. Please go ahead and order your gear so we can all begin our class together in March. The tutorials are free, so you will not want to miss these valuable lessons.
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. This means if you visit the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.]
#AI
#raspberrypi
#Tutorial -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided "AS IS", without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content.
![Arduino Uno R4 WiFi LESSON 48: How to Control DC Motor and Speed and Direction with Arduino
Pick your Sunfounder kit up so you get the same results I do:
https://amzn.to/3SciApZ
You can pick up the oscilloscope that I used in this lesson here:
https://amzn.to/3U2vyIe
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this video I show you how to control a simple DC motor using the arduino with a TA6586 Bidirectional Motor Controller. We show how using this chip we can control both the speed and direction of a DC motor using the arduino. The project allows us better understand arduino motor control with step-by-step intstructions. Enjoy!
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. ]
#arduinor4wifi
#dcmotor
#TA6586 -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Arduino Uno R4 WiFi LESSON 48: How to Control DC Motor and Speed and Direction with Arduino](https://i.ytimg.com/vi/c0aVlxRTRII/mqdefault.jpg)
![Edge AI on the NVIDIA Jetson Orin Nano: You are Running With the Big Dogs Now!
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
You can pick up a Jetson Orin Nano just like mine here:
https://amzn.to/4e61IuF
A lot of you guys are excited to upgrade from an arduino or Raspberry 5 to the NVIDIA Jetson Orin Nano. There is a tendency to think that the Nano is just like Raspberry Pi, but much faster. If this is your expectation, you will likely be disappointed, and even come away bitter and angry. You have to change your expectations. Why? Because you are running with the Big Dogs now. You might exactly follow the NVIDIA OS flash instructions, and you might end up bricking your system. You might go to the NVIDIA support forums and ask for help, and you might do it in a way that you are not taken seriously. The purpose of this video is to get you to adjust your expectations, and to be ready for a Wild Ride.
Leave a comment below. Are you ready to run with the Big dogs?
#NVIDIA #JetsonOrin #EdgeAI #SupplyChain #TechNews #PaulMcWhorter #AI #Semiconductors
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. This means if you visit the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.]
#NVIDIA
#JetsonOrin
#EdgeAI *LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Edge AI on the NVIDIA Jetson Orin Nano: You are Running With the Big Dogs Now!](https://i.ytimg.com/vi/cDAUShMc6_Y/mqdefault.jpg)
![AI on the Edge LESSON 7: Homework Solution for Dimmable LED
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
Are you guys ready to learn AI? Will you be one of those that Thrives, or one that does not Survive? AI will be the biggest opportunity of the next hundred years, but at the same time many will be destroyed by it. In this class, I should you how you can be a Driver of AI, not one who is destroyed by it. In this class, I will show you my homework solution for the homework I gave you in LESSON 6. The assignment was to use a potentiometer with the Fusion AI HAT+ with an LED. In my solution, I will show you a simple solution, and then a more elegant solution.
If you feel you need more background and familiarity with Python, I have a whole python class on this channel here:
https://www.youtube.com/playlist?list=PLGs0VKk2DiYzguDvh5xk2XoX9V1VKP5Hv.
In this class you will need the following hardware:
AI Fusion Lab Kit, available here:
https://amzn.to/4cla6re
You will also need a pi 5. Get one with as much memory as you can afford, but most pi 5s should work for the class. This is a link.
https://amzn.to/40Gek5n
You will need a heat sink and fan:
https://amzn.to/3PpaEmv
You will need a 25 watt power supply:
https://amzn.to/4c6i1YC
Micro HDMI Cable
https://amzn.to/4lPQz4V
Just about any SD card you have lying around should work, I use a 128GB card. These cards seem to be really expensive right now, so I suggest you try and find one lying around. Smaller cards should work as well. Just find something that will work for now, and stock up when prices are lower.
Any USB mouse and keyboard will work. If you want a wireless one for the pi, look at this one:
https://amzn.to/4d71jte
Guys try as best you can to use things you already have. Hopefully you have keyboard, mouse, sd card and cables and such. The links are in case you do not have the items already.
Here is the link to the special Raspberry Pi Bookworm OS that already has all the AI libraries, modules, dependencies, and device drivers needed in this class. When you flash this operating system, dont mess with it. Everything works, so do not do an update or upgrade-all. This OS is just for this class. If you want to do other things, flash a different card. This is a link to the OS:
https://sunfounder.github.io/download/ai-fusion-lab-kit/index.html
You will also need to install the Raspberry Pi OS imager for flashing the operating system. You can get it here:
https://www.raspberrypi.com/software/
These are the assembly instructions I mention the video for the Fusion AI Lab Kit
https://docs.sunfounder.com/projects/ai-lab-kit/en/latest/quick_start/assemble_power_hat.html
You can find additional resources on this lesson on my web site at:
https://toptechboy.com/ai-on-the-edge-lesson-7-homework-solution-for-dimmable-led/
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com.]
#raspberrypi
#AI
#tutorial *LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. AI on the Edge LESSON 7: Homework Solution for Dimmable LED](https://i.ytimg.com/vi/cGq9sQ4ESAc/mqdefault.jpg)

![Arduino Uno R4 WiFi LESSON 56: Measure Altitude with an Arduino and BMP180 Project
Pick your Sunfounder kit up so you get the same results I do:
https://amzn.to/3SciApZ
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this video we we create a project that uses the GY-87 10 axis module. The module has a BMP180 pressure sensor. We will show you how this component can be used to create an altimeter. Last week, we learned how to measure pressure with the module, and today we learn how to calculate height based on the measured pressure reading. This allows us to create an altimeter. This tutorial is intended to be a useful lesson for beginners and experts alike. Enjoy!
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. ]
#arduinor4wifi
#GY-87
#BMP180 -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Arduino Uno R4 WiFi LESSON 56: Measure Altitude with an Arduino and BMP180 Project](https://i.ytimg.com/vi/dBZQhYCuCEY/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 64: Learn Python Essentials in One Session
Pick your Sunfounder kit up so you get the same results I do:
https://amzn.to/3SciApZ
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this video I teach you the fundamentals of Python Programming in one class. We will discuss the similarities and the differences between Python and what you learned already with Arduino. Many of the fundamentals are the same, but Python just uses different syntax. By the end of this class you will understand enough about Python to write your own programs.
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. ]
#arduinor4wifi
#Thonny
#project -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Arduino Uno R4 WiFi LESSON 64: Learn Python Essentials in One Session](https://i.ytimg.com/vi/dcJwCHTntq8/mqdefault.jpg)
![Raspberry Pi Pico W LESSON 98: Controlling Servo Position With PIO State Machine
This is a link to the Oscilloscope I was using in todays lesson. It is not required for the class, but is a pretty cool piece of lab gear to have:
https://amzn.to/3YpbLl3
(Affiliate Link)
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this class we will be using the Sunfounder Raspberry Pi Pico W Keppler Kit. It will make things a lot easier if we are working on identical hardware. the link below is to amazon, and is for the identical hardware I will be using in this entire class.
https://amzn.to/3ubMRs1
In this video, I will show you how to control the position of a servo using the Raspberry Pi Pico State Machine. Enjoy!
More great content at:
http://toptechboy.com
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. ]
#raspberrypipicow
#statemachine
#micropython -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Raspberry Pi Pico W LESSON 98: Controlling Servo Position With PIO State Machine](https://i.ytimg.com/vi/eEBUl07-ub4/mqdefault.jpg)
![AI on the Edge LESSON 13: Control LED Brightness with Voice Commands on Raspberry Pi 5
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
Are you guys ready to learn AI? Will you be one of those that Thrives, or one that does not Survive? AI will be the biggest opportunity of the next hundred years, but at the same time many will be destroyed by it. As we move forward with our AI learning, an important python skill you need to have is using threads. In todays video we use threads and STT (Speech To Text) to control the brightness of an LED. This allows us to control our project with our voice.
If you feel you need more background and familiarity with Python, I have a whole python class on this channel here:
https://www.youtube.com/playlist?list=PLGs0VKk2DiYzguDvh5xk2XoX9V1VKP5Hv.
In this class you will need the following hardware:
AI Fusion Lab Kit, available here:
https://amzn.to/4cla6re
You will also need a pi 5. Get one with as much memory as you can afford, but most pi 5s should work for the class. This is a link.
https://amzn.to/40Gek5n
You will need a heat sink and fan:
https://amzn.to/3PpaEmv
You will need a 25 watt power supply:
https://amzn.to/4c6i1YC
Micro HDMI Cable
https://amzn.to/4lPQz4V
Just about any SD card you have lying around should work, I use a 128GB card. These cards seem to be really expensive right now, so I suggest you try and find one lying around. Smaller cards should work as well. Just find something that will work for now, and stock up when prices are lower.
Any USB mouse and keyboard will work. If you want a wireless one for the pi, look at this one:
https://amzn.to/4d71jte
Guys try as best you can to use things you already have. Hopefully you have keyboard, mouse, sd card and cables and such. The links are in case you do not have the items already.
Here is the link to the special Raspberry Pi Bookworm OS that already has all the AI libraries, modules, dependencies, and device drivers needed in this class. When you flash this operating system, dont mess with it. Everything works, so do not do an update or upgrade-all. This OS is just for this class. If you want to do other things, flash a different card. This is a link to the OS:
https://sunfounder.github.io/download/ai-fusion-lab-kit/index.html
You will also need to install the Raspberry Pi OS imager for flashing the operating system. You can get it here:
https://www.raspberrypi.com/software/
These are the assembly instructions I mention the video for the Fusion AI Lab Kit
https://docs.sunfounder.com/projects/ai-lab-kit/en/latest/quick_start/assemble_power_hat.html
Visit our WEB site for more resources for this lesson:
https://toptechboy.com/ai-on-the-edge-lesson-13-control-led-brightness-with-voice-commands-on-raspberry-pi-5/
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com.]
#raspberrypi
#AI
#threading *LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. AI on the Edge LESSON 13: Control LED Brightness with Voice Commands on Raspberry Pi 5](https://i.ytimg.com/vi/eJ1bN69VoZg/mqdefault.jpg)
![AI on the Edge LESSON 35: Running Multiple Pi Cameras and USB Cameras on the Pi 5
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
Are you guys ready to learn AI? Will you be one of those that Thrives, or one that does not Survive? AI will be the biggest opportunity of the next hundred years, but at the same time many will be destroyed by it. You have already learned how to use openCV on the Raspberry Pi 5 to create live videos by grabbing and displaying frames. In todays lesson we show how to run multiple Pi Cameras at the same time. We also show how to run USB cameras in openCV on the Raspberry Pi 5. In the end, we show 2 pi cameras and 2 USB cameras running at the same time under openCV and Python.
If you feel you need more background and familiarity with Python, I have a whole python class on this channel here:
https://www.youtube.com/playlist?list=PLGs0VKk2DiYzguDvh5xk2XoX9V1VKP5Hv.
In this class you will need the following hardware:
AI Fusion Lab Kit, available here:
https://amzn.to/4cla6re
You will also need a pi 5. Get one with as much memory as you can afford, but most pi 5s should work for the class. This is a link.
https://amzn.to/40Gek5n
You will need a heat sink and fan:
https://amzn.to/3PpaEmv
You will need a 25 watt power supply:
https://amzn.to/4c6i1YC
Micro HDMI Cable
https://amzn.to/4lPQz4V
Just about any SD card you have lying around should work, I use a 128GB card. These cards seem to be really expensive right now, so I suggest you try and find one lying around. Smaller cards should work as well. Just find something that will work for now, and stock up when prices are lower.
Any USB mouse and keyboard will work. If you want a wireless one for the pi, look at this one:
https://amzn.to/4d71jte
Guys try as best you can to use things you already have. Hopefully you have keyboard, mouse, sd card and cables and such. The links are in case you do not have the items already.
Here is the link to the special Raspberry Pi Bookworm OS that already has all the AI libraries, modules, dependencies, and device drivers needed in this class. When you flash this operating system, dont mess with it. Everything works, so do not do an update or upgrade-all. This OS is just for this class. If you want to do other things, flash a different card. This is a link to the OS:
https://sunfounder.github.io/download/ai-fusion-lab-kit/index.html
You will also need to install the Raspberry Pi OS imager for flashing the operating system. You can get it here:
https://www.raspberrypi.com/software/
These are the assembly instructions I mention the video for the Fusion AI Lab Kit
https://docs.sunfounder.com/projects/ai-lab-kit/en/latest/quick_start/assemble_power_hat.html
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com.]
#raspberrypi
#AI
#opencv *LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. AI on the Edge LESSON 35: Running Multiple Pi Cameras and USB Cameras on the Pi 5](https://i.ytimg.com/vi/ekpJWMqod4Y/mqdefault.jpg)
![Raspberry Pi Pico W LESSON 118: Saving Data to Flash Memory on Pi Pico
This is a link to the Sunfounder BreadBoard Power Bank
https://amzn.to/4iRfVNQ
(Affiliate Link)
When using the breadvolt, or any battery power supply on a breadboard project, do not turn the power supply on while the Raspberry Pi Pico is connected to USB, as you could generate voltage conflicts. It is an either or. If the USB is connected, the power supply should be OFF. Or if you are going to connect the USB, first turn off the power supply. If you want to power the Pi Pico by the breadvolt, you should power the pico through the Vsys pin. Complete details on use of a portable power supply on your Pi Pico Projects can be found here:
https://www.youtube.com/watch?v=qFjBMZyn7MU
You can get the oscilloscope like I use in this lesson. Note, you do not have to have an oscilloscope to complete this class, but it is helpful in troubleshooting your circuits:
https://amzn.to/4j17EXB
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this class we will be using the Sunfounder Raspberry Pi Pico W Keppler Kit. It will make things a lot easier if we are working on identical hardware. the link below is to amazon, and is for the identical hardware I will be using in this entire class.
https://amzn.to/3ubMRs1
In this video, I describe how you can save calibration and other data to the flash memory on the Pi Pico. This allows you to reload critical data when the program runs. This allows the system to remember its configuration in case power is lost. The memory is limited to 100,000 write cycles, so you do not want to use this as a general data logger. Also the memory is limited to 2 MB and is shared with pi programs. But this is an important skill to have for mission critical data. Enjoy!
More great content at:
http://toptechboy.com
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. ]
#raspberrypipicow
#pyqt
#dcmotor -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Raspberry Pi Pico W LESSON 118: Saving Data to Flash Memory on Pi Pico](https://i.ytimg.com/vi/epZtOuMfIAE/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 32: Show Temperature and Humidity on the LED Matrix
Pick your Sunfounder kit up so you get the same results I do:
https://amzn.to/3SciApZ
You can pick up the neat jumper wires I showed in the video here:
https://amzn.to/3U2vyIe
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this video I show you how to use the DHT11 sensor to measure temperature and humidity on the arduino. I show how to connect the sensor up and how to program it. Then I show how to activate the measurement by using a push button. The information is then displayed across the LED matrix. Enjoy!
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. ]
#arduinor4wifi
#dht11
#tutorial -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Arduino Uno R4 WiFi LESSON 32: Show Temperature and Humidity on the LED Matrix](https://i.ytimg.com/vi/eu8N4_dykBw/mqdefault.jpg)