Uploaded August 2025 | Updated September 2026, 2 weeks ago
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 will show you how we can use one core on the Raspberry Pi Pico W to continuously read the NMEA sentences from the Adafruit Ultimate GPS, and use the other core to parse them. We configure the program to ensure the UART buffer does not overflow, creating corrupt and stale location data. Then we have added a small SSD1306 OLED display to the project that shows location data from the GPS. In this lesson we will examine the NMEA sentences and extract the utc Time and Date, and then convert that time and date to local values. We will then display those on the OLED screen. Enjoy!
We are actually pursuing building a GPS Tracker, and this is the gear we will be using in this class:
Raspberry Pi Pico W:
amzn.to/3FA4tqS
Adafruit Ultimate GPS:
amzn.to/4jeRIjj
External Antenna (OPTIONAL):
amzn.to/4myFWTL
Button Battery For Quicker Fix:
amzn.to/3FjoUbH
Breadvolt Power Supply (OPTIONAL):
amzn.to/4kuuJ50
Charging Cable (If You Don’t Have):
amzn.to/3Z0EMGF
Soldering Iron:
amzn.to/3HpZolw
Solder Practice Components:
amzn.to/4mNaEca
Extra Solder:
amzn.to/4kuuDdE
Safety Glasses:
amzn.to/4mwGMjR
[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.]
#raspberrypipico
#GPS
#oled -
-
*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.
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 will show you how we can use one core on the Raspberry Pi Pico W to continuously read the NMEA sentences from the Adafruit Ultimate GPS, and use the other core to parse them. We configure the program to ensure the UART buffer does not overflow, creating corrupt and stale location data. Then we have added a small SSD1306 OLED display to the project that shows location data from the GPS. In this lesson we will examine the NMEA sentences and extract the utc Time and Date, and then convert that time and date to local values. We will then display those on the OLED screen. Enjoy!
We are actually pursuing building a GPS Tracker, and this is the gear we will be using in this class:
Raspberry Pi Pico W:
amzn.to/3FA4tqS
Adafruit Ultimate GPS:
amzn.to/4jeRIjj
External Antenna (OPTIONAL):
amzn.to/4myFWTL
Button Battery For Quicker Fix:
amzn.to/3FjoUbH
Breadvolt Power Supply (OPTIONAL):
amzn.to/4kuuJ50
Charging Cable (If You Don’t Have):
amzn.to/3Z0EMGF
Soldering Iron:
amzn.to/3HpZolw
Solder Practice Components:
amzn.to/4mNaEca
Extra Solder:
amzn.to/4kuuDdE
Safety Glasses:
amzn.to/4mwGMjR
[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.]
#raspberrypipico
#GPS
#oled -
-
*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 2: Raspberry Pi Operating System for Artificial Intelligence
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/
You can get more resources for this lesson on my website here:
https://toptechboy.com/ai-on-the-edge-lesson-2-raspberry-pi-operating-system-for-artificial-intelligence/
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. This video shows you how to download and install our special AI on the Edge Educational Operating System. It has all the models, drivers, libraries and everything needed for the class already installed.
If you want to go ahead and assemble your Fusion AI on the Edge Lab, the instructions are all on this page:
https://docs.sunfounder.com/projects/ai-lab-kit/en/latest/quick_start/assemble_power_hat.html
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.
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
Check out our WEB site for more information on this lesson:
https://toptechboy.com/ai-on-the-edge-lesson-2-raspberry-pi-operating-system-for-artificial-intelligence/
[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 2: Raspberry Pi Operating System for Artificial Intelligence](https://i.ytimg.com/vi/Zm2IXXldL_U/mqdefault.jpg)
![Ultimate GPS Tracker Project 13: Calculate Distance and Heading Between Two GPS Points
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 will show you how you can use the Haversine Equation to calculate the exact distance between any two GPS points on earth. The equations allow calculations of distance, and the heading between point1 and point2. By heading, I mean if you start at point1, how many degrees from north would you need to walk to get to point 2. Enjoy!
This toggle button work was explained in greater depth in this class:
https://youtu.be/s2tjQbwBkxw?si=IIMdnn4u-Ri5CEuo
We are actually pursuing building a GPS Tracker, and this is the gear we will be using in this class:
Raspberry Pi Pico W:
https://amzn.to/3FA4tqS
Adafruit Ultimate GPS:
https://amzn.to/4jeRIjj
External Antenna (OPTIONAL):
https://amzn.to/4myFWTL
Button Battery For Quicker Fix:
https://amzn.to/3FjoUbH
Breadvolt Power Supply (OPTIONAL):
https://amzn.to/4kuuJ50
Charging Cable (If You Don’t Have):
https://amzn.to/3Z0EMGF
Soldering Iron:
https://amzn.to/3HpZolw
Solder Practice Components:
https://amzn.to/4mNaEca
Extra Solder:
https://amzn.to/4kuuDdE
Safety Glasses:
https://amzn.to/4mwGMjR
[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.]
#raspberrypipico
#GPS
#oled -
-
*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. Ultimate GPS Tracker Project 13: Calculate Distance and Heading Between Two GPS Points](https://i.ytimg.com/vi/Zr6iUxOD0Ng/mqdefault.jpg)
![Raspberry Pi Pico W LESSON 102: Creating a Library to Easily Work With Multiple PIO State Machines
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 work with PIO state machines and machine code inside a python class, and then create a library from the class. The object is to create a library which contains all the advanced and complex code, and then let a user interact with servos using only simple python commands. We demonstrate this for the practical example of controlling multiple servos. 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 102: Creating a Library to Easily Work With Multiple PIO State Machines](https://i.ytimg.com/vi/_5yNK9yoc1c/mqdefault.jpg)
![Why I Threw Away the Arduino Q
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
I have now played with the Arduino Q for two months. Im done! This video explains why I have given up on the Arduino Q.
[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.]
#arduinoq
#Review
#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. Why I Threw Away the Arduino Q](https://i.ytimg.com/vi/_NxXPYGEhqE/mqdefault.jpg)

![AI on the Edge LESSON 36: Select Active Camera in OpenCV With Voice Commands
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. In todays lesson we show you how to display the cameras in thumbnail windows, and then audibly with your voice select the camera to feature in the large, main window. This is in effect a voice controlled security camera.
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
Find code and more resources for this lesson at our AI WEB site here:
https://toptechboy.com/ai-on-the-edge-lesson-36-select-active-camera-in-opencv-with-voice-commands/
[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 36: Select Active Camera in OpenCV With Voice Commands](https://i.ytimg.com/vi/aErpMTKayhU/mqdefault.jpg)
![AI on the Edge LESSON 30: Tune Object Tracker with Mouse Selected ROI
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 want to select the object to track using the mouse. This way we can track an object by drawing a box around it using the mouse. With this advancement, you do not have to edit the program to change the object we are tracking. This is a major step forward in the usability of our project.
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
Find the code for this lesson and other resources on our AI WEb site here:
https://toptechboy.com/ai-on-the-edge-lesson-30-tune-object-tracker-with-mouse-selected-roi/
[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 30: Tune Object Tracker with Mouse Selected ROI](https://i.ytimg.com/vi/aQ3ozpveZN8/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 89: Calibrating 3-Axis Magnetometer with PyQt
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 show you how to get readings from the magnetometers on the GY-87 module. Our GY-87 module has the QMC5883L 3 axis magnetometer, allowing us to measure magnetic field in the x, y and z directions. In todays lesson we will learn how to calibrate the magnetometer, using PyQt5 in Python on the PC. Using PyQt5 allows us to visualize the data, and get a much more accurate calibration.
[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. ]
#QMC5883L
#magnetometer
#Arduino -
-
*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 89: Calibrating 3-Axis Magnetometer with PyQt](https://i.ytimg.com/vi/aaJJb3FEuco/mqdefault.jpg)

![Raspberry Pi Pico W LESSON 93: Button Controlled Binary Counter Completely on PIO State Machine
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 create a binary counter using only the Raspberry Pi Pico PIO State Machines. We will learn how to read from gpio pins. To demonstrate this we will read the value of a button connected to the Pi Pico. We will use the state machine wait command to make it all work. I will show you step by step how to create a binary up counter Using nothing but the State Machine, buttons, and LED.
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
#pio
#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 93: Button Controlled Binary Counter Completely on PIO State Machine](https://i.ytimg.com/vi/aplCmjnq7L8/mqdefault.jpg)
![AI on the Edge LESSON 51: Gesture Control of NeoPixel Ring
In this video, we build a gesture-controlled NeoPixel ring using MediaPipe hand tracking and OpenCV on the Raspberry Pi 5 with PiCamera2. We use fingertip tracking and pinch detection to toggle individual LEDs on a physical SPI NeoPixel ring and switch between dynamic lighting animation modes in real time.
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 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
#mediapipe
*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 51: Gesture Control of NeoPixel Ring](https://i.ytimg.com/vi/az6A5hfMJGc/mqdefault.jpg)