Uploaded June 2026 | 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
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:
youtube.com/playlist?list=PLGs0VKk2DiYzguDvh5xk2XoX9V1VKP5Hv.
In this class you will need the following hardware:
AI Fusion Lab Kit, available here:
amzn.to/4cla6re
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 need a heat sink and fan:
amzn.to/3PpaEmv
You will need a 25 watt power supply:
amzn.to/4c6i1YC
Micro HDMI Cable
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:
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, don't 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:
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:
raspberrypi.com/software
These are the assembly instructions I mention the video for the Fusion AI Lab Kit
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:
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:
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.
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
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:
youtube.com/playlist?list=PLGs0VKk2DiYzguDvh5xk2XoX9V1VKP5Hv.
In this class you will need the following hardware:
AI Fusion Lab Kit, available here:
amzn.to/4cla6re
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 need a heat sink and fan:
amzn.to/3PpaEmv
You will need a 25 watt power supply:
amzn.to/4c6i1YC
Micro HDMI Cable
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:
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, don't 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:
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:
raspberrypi.com/software
These are the assembly instructions I mention the video for the Fusion AI Lab Kit
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:
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:
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 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)

![AI on the Edge LESSON 44: Displaying Live MediaPipe FaceMesh Avatar on SSD1306 OLED in OpenCV
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 todays lesson we create an animated live avatar on the SSD1306 OLED display, and the avatar tracks our facial features in real time. We do this be creating a MediaPipe face mesh based on a live camera feed of our face, and then display the face mesh on the OLED.
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
#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 44: Displaying Live MediaPipe FaceMesh Avatar on SSD1306 OLED in OpenCV](https://i.ytimg.com/vi/uFoOxwE9Rc4/mqdefault.jpg)
![Raspberry Pi Pico W LESSON 88: Understanding PIO State Machine Push, Pull, Put and Get
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 push() pull() get() and put() commands on the Raspberry Pi Pico W using micropython and the PIO state machines. I will show you step by step how to easily exchange data between the PIO state machine and the main python core processor.
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 88: Understanding PIO State Machine Push, Pull, Put and Get](https://i.ytimg.com/vi/uGzc25ZmZMU/mqdefault.jpg)
![AI on the Edge LESSON 22: Understanding Pictures and Video Frames as a Data Structure
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 begin to consider the picture or video frame we are gathering from the camera as a data structure. We will show that it is a data array. We have rows, and columns, and the intersection of a Row and Column is a pixel. For openCV, the pixel is given in B,G,R, or Blue Green Red format. A pixel would be a tuple like [0,255,0]. That would represent the color pure green. We also introduce you to the concept of a ROI or Region of Interest where we just look at parts of the frame.
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 code and more resources on this lesson on this web page:
https://toptechboy.com/ai-on-the-edge-lesson-22-understanding-pictures-and-video-frames-as-a-data-structure/#google_vignette
[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 22: Understanding Pictures and Video Frames as a Data Structure](https://i.ytimg.com/vi/uVMmFsm79OE/mqdefault.jpg)
![AI on the Edge LESSON 17: Decorating and Annotating Video Frames in openCV
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 learn how to decorate and annotate the frames. We will show you how to add rectangles, circles, lines, arrows and text to your frames. We show how to control the colors, shapes, sizes and positions of the items created.
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 more resources on this video lesson on our WEB site here:
https://toptechboy.com/ai-on-the-edge-lesson-17-decorating-and-annotating-video-frames-in-opencv/
[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 17: Decorating and Annotating Video Frames in openCV](https://i.ytimg.com/vi/um-Kg2pMZCo/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 42: Arduino Transistor Tutorial
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 incorporate a transistor into your arduino project. I show the motivation is that some components, like an active buzzer, require more current than the GPIO pins can source. So, I show how you can use a transistor as a switch. It is important to remember that the GPIO pins on the Arduino R4 can only supply 8 milliamps, and trying to draw more current than that can damage the GPIO pin or actually fry your arduino. The buzzer draws more than 8 milliamps, so I will show you how to incorporate a transistor into your projects where you can then control larger currents from the GPIO pins. This concept can be extended to run other components like motors. 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
#tutorial
#transistor -
-
*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 42: Arduino Transistor Tutorial](https://i.ytimg.com/vi/uzULiDi1VQg/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 100: IMU Project with Complete Roll, Pitch and Yaw Avionics Display
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 create a complete avionics display on the SSD1306 OLED display on our IMU project using the MPU6050 and QMC5884L Magnetometer on the GY-87 module. We display accurate roll, pitch, and yaw on the OLED display, and now a complete avionics graphical display. 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. ]
#GY-87
#MPU6050
#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 100: IMU Project with Complete Roll, Pitch and Yaw Avionics Display](https://i.ytimg.com/vi/v9H7GTkJxu0/mqdefault.jpg)
![Ultimate GPS Tracker Project 16: Master Data Logging on the Raspberry Pi PIco W
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 can easily log data on your Raspberry Pi Pico W using the picos built in flash memory. I will show you how to write data to a file, read data from a file, and how to append data to an existing file. 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
#datalogging
#flashmemory -
-
*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 16: Master Data Logging on the Raspberry Pi PIco W](https://i.ytimg.com/vi/vNfoNGtYcPw/mqdefault.jpg)
![NVIDIA Jetson Orin Nano: Secret to Running Ollama on the GPU on Jetpack 7.2
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
In this lesson I will show you how to get your Ollama LLMs running on the NVIDIA Jetson Orin Nano running under Jetpack 7.2 on the GPU. This is a follow on from our earlier lesson where we showed you how to install Ollama on the Orin. Today, we will do a deep dive and begin to look at performance, and investigate whether the models are running on GPU or CPU. For maximum performance it is imperative to get the work onto the GPU. I will show you how to understand this, then your benchmarks for different models
Leave a comment below. If you have the model leave a comment I am running with the Big Dogs Now? Also, be sure to complete the benchmark homework, and post your solution as a video on your channel, and in the description of your video, link back to this video.
You can get more resources on this lesson at our web site:
https://toptechboy.com/nvidia-jetson-orin-nano-secret-to-running-ollama-on-the-gpu/
[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. NVIDIA Jetson Orin Nano: Secret to Running Ollama on the GPU on Jetpack 7.2](https://i.ytimg.com/vi/vmZ0luXtTfU/mqdefault.jpg)
