Uploaded September 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 you can can easily log data on your Raspberry Pi Pico W using the pico's 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:
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:
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
#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.
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 you can can easily log data on your Raspberry Pi Pico W using the pico's 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:
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:
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
#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.
![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)


![Ultimate GPS Tracker Project 20: Road Trip to Log GPS Data
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 a first look at a kml file for viewing yout GPS logged data on Google Earth. We will start by going on a road trip to gather a good GPS log file. 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
#Adafruit
#GPS -
-
*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 20: Road Trip to Log GPS Data](https://i.ytimg.com/vi/x9la9AChkQI/mqdefault.jpg)
![AI on the Edge: YOLO Object Detection on Raspberry Pi with IP Cameras
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 lesson we present a step-by-step tutorial on how to install YOLO11 on the raspberry pi 5, running on bookworm OS. We show how to convert the standard YOLO models to models optimized for the Raspberry Pi 5. We show you can get 10 FPS on the Pi 5 using the optimized model for videos a full 1280x720 resolution. Today we show how to use YOLO with a streaming IP RTSP camera. We should you how to work with any IP camera. By the end of this video lesson you will be running full strength object detection on your raspberry pi 5, without buying an accelerator.
[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.]
#raspberrypi
#AI
#yolo -
-
*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: YOLO Object Detection on Raspberry Pi with IP Cameras](https://i.ytimg.com/vi/xbl8_I_S8K0/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 80: Finding Pitch and Roll from 3 Axis Accelerometer on MPU6050
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 incorporate accelerometers into your Arduino projects. The GY-87 module contains the MPU6050 IMU chip. The MPU6050 contains 3 accelerometers for measuring acceleration along the x axis, the y axis, and the z-axis. In todays lesson we will look at how to calibrate the accelerometers for greater accuracy. With the calibrated data, I show you how we can now calculate the tilt of the board, in both x and y axis. That is, we can now calculate the roll and pitch of the board. I will take you through things step-by-step, and show you how to connect the module and program it.
[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. ]
#mpu6050
#accelerometer
#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 80: Finding Pitch and Roll from 3 Axis Accelerometer on MPU6050](https://i.ytimg.com/vi/xcbzBColdRs/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 69: Improved WiFi Client Server Connections
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 client server connection between the arduino (the server) and Python on the PC (the client). We clean up our earlier code, and create a framework that will serve as our starting point for future lessons and projects I will take you through things step-by-step
[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. ]
#python
#wifi
#project -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Arduino Uno R4 WiFi LESSON 69: Improved WiFi Client Server Connections](https://i.ytimg.com/vi/xi3r0tLeMBY/mqdefault.jpg)
![AI on the Edge LESSON 20: Resizing, Moving, Converting and Tiling 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 I will show you how to Resize, Move, Convert and tile video frames in openCV. This is an important skill you need moving forward. 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
Find the code and more resources for this lesson at:
https://toptechboy.com/ai-on-the-edge-lesson-20-resizing-moving-converting-and-tiling-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 20: Resizing, Moving, Converting and Tiling Video frames in OpenCV](https://i.ytimg.com/vi/xtaF3Bwi6Pw/mqdefault.jpg)

![Arduino Uno R4 WiFi LESSON 60: Portable Barometric Pressure Weather Station Project
Pick your Sunfounder kit up so you get the same results I do:
https://amzn.to/3SciApZ
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this video I show you how to create a portable Barometric Pressure Weather Station. We use the GY-87 sensor module which has a BMP180 pressure sensor. We also use the SSD1306 OLED display. The project displays instantaneous barometric pressure in In HG, normalized to seal level. This ensures your measurements match those reported by the weather man. Then we also show a small graph of the pressure over the last 24 hours. Rising pressure indicates fair and clear weather, and falling pressure indicates storms and inclement weather. This tutorial is intended to be a useful lesson for beginners and experts alike. Enjoy!
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. ]
#arduinor4wifi
#weatherstation
#barometer -
-
*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 60: Portable Barometric Pressure Weather Station Project](https://i.ytimg.com/vi/yZ0KU9wBc8Q/mqdefault.jpg)
![Raspberry Pi Pico W LESSON 92: Simple Toggle Switch Done Completely on the 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 toggle switch 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 toggle switch Using nothing but the State Machine.
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 92: Simple Toggle Switch Done Completely on the PIO State Machine](https://i.ytimg.com/vi/yiTp98IQBoU/mqdefault.jpg)