Uploaded December 2024 | Updated September 2026, 2 weeks ago
This is a link to the Oscilloscope I was using in today's lesson. It is not required for the class, but is a pretty cool piece of lab gear to have:
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:
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.
amzn.to/3ubMRs1
In this video, I will show you how to work with more than one state machine. I will show you how you can use more than one state machine at the same time to control multiple servos. In theory, we should be able to control 8 different servos, with each one using its own state machine. Enjoy!
More great content at:
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.
This is a link to the Oscilloscope I was using in today's lesson. It is not required for the class, but is a pretty cool piece of lab gear to have:
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:
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.
amzn.to/3ubMRs1
In this video, I will show you how to work with more than one state machine. I will show you how you can use more than one state machine at the same time to control multiple servos. In theory, we should be able to control 8 different servos, with each one using its own state machine. Enjoy!
More great content at:
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.
![Arduino Uno R4 WiFi LESSON 34: Controlling Servo with Photo Resistor
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 servo to display the relative brightness read from the photoresistor. 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
#photoresistor
#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 34: Controlling Servo with Photo Resistor](https://i.ytimg.com/vi/rP0Go2EV358/mqdefault.jpg)

![Ultimate GPS Tracker Project 5: Getting Latitude and Longitude from the GPS
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 to get the Latitude and Longitude in Decimal Degrees from the Adafruit Ultimate GPS V3. I show how to connect the GPS up, how to read the data from the GPS using the Raspberry Pi Pico W, and then show how to parse the NMEA sentences to get useful data. 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:
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
#Tracker -
-
*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 5: Getting Latitude and Longitude from the GPS](https://i.ytimg.com/vi/rg-EUCPwx2c/mqdefault.jpg)

![AI on the Edge LESSON 48: Hand Detection in OpenCV and MediaPipe on the Raspberry Pi
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 become proficient in this class on TTS, STT, openCV and Mediapipe. In this lesson I will show you how to use MediaPipe to find and analyze hands. This is a lot like the face finding work we did with MediaPipe in earlier lessons, but this time we will focus on hands. Enjoy!
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
#neopixel *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 48: Hand Detection in OpenCV and MediaPipe on the Raspberry Pi](https://i.ytimg.com/vi/sJogifNXdZ4/mqdefault.jpg)
![Raspberry Pi Pico W LESSON 90: PIO State Machine Timing, Looping and Shifting
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 use the in_, nop(), and instructions on the Raspberry Pi Pico W using micropython and the PIO state machines. We will learn how to use nop() to control timing on the state machine, and will learn how you can do some simple multiplication by shifting. We will also learn how to do a crude for loop using the jmp() command. I will show you step by step how to easily exchange data between the PIO state machine and the main python core processor. We will look in detail in this video how the process works
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 90: PIO State Machine Timing, Looping and Shifting](https://i.ytimg.com/vi/scjKnrcYh0o/mqdefault.jpg)
![AI on the Edge LESSON 5: Understanding Fusion AI Hat+ For Raspberry Pi
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 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, our primary programming language will by Python. Hopefully you have some familiarity with Python. Last week I showed you how to flash the Educational AI OS for learning AI. This week we will begin to understand the Fusion Hat. 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/
For more resources on this lesson, our WEB page for this lesson is at:
https://toptechboy.com/ai-on-the-edge-lesson-5-understanding-fusion-ai-hat-for-raspberry-pi/
[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
#python *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 5: Understanding Fusion AI Hat+ For Raspberry Pi](https://i.ytimg.com/vi/tX1-wXxivvM/mqdefault.jpg)
![AI on the Edge LESSON 31: Facial Recognition in OpenCV Using Haarcascades
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 will learn how to do facial recognition on the Raspberry Pi using Haarcascades. In earlier lessons we developed our own model to track objects based on color. In todays lesson we will learn how to use canned models to find faces.
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 get the code and more resources on my WEB site here:
https://toptechboy.com/ai-on-the-edge-lesson-31-facial-recognition-in-opencv-using-haarcascades/
[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 31: Facial Recognition in OpenCV Using Haarcascades](https://i.ytimg.com/vi/tii00LaqsT8/mqdefault.jpg)
![AI on the Edge LESSON 25: Create Region of Interest (ROI) in openCV Using the Mouse
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 this lesson we will become more comfortable managing multiple video windows in openCV. In the future we will often have multiple windows open on our screen, and we need to be able to keep these organized. In todays lesson we will learn how to process mouse clicks using openCV. This allows us to interact with our Pi 5 Project in real time using the mouse. This will lead to us being able to select regions of interest with a mouse.
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 the source code and additional resources on this AI Lesson Page:
https://toptechboy.com/ai-on-the-edge-lesson-25-create-region-of-interest-roi-in-opencv-using-the-mouse/
You can find a less of all lessons in this class here:
https://toptechboy.com/ai-on-the-edge-with-the-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
#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 25: Create Region of Interest (ROI) in openCV Using the Mouse](https://i.ytimg.com/vi/tsPSxquh6IU/mqdefault.jpg)
![AI on the Edge LESSON 21: Managing Multiple Windows in OpenCV on the Raspberry Pi
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 this lesson we will become more comfortable managing multiple video windows in openCV. In the future we will often have multiple windows open on our screen, and we need to be able to keep these organized.
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
For more resources on this lesson, visit the accompanying web page here:
https://toptechboy.com/ai-on-the-edge-lesson-21-managing-multiple-windows-in-opencv-on-the-raspberry-pi/
[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 21: Managing Multiple Windows in OpenCV on the Raspberry Pi](https://i.ytimg.com/vi/tuB3ULpK8v0/mqdefault.jpg)
