Uploaded July 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 today's 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:
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
Find the code for this lesson and other resources on our AI WEb site here:
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.
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 today's 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:
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
Find the code for this lesson and other resources on our AI WEb site here:
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.
![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)
![Raspberry Pi Pico W LESSON 120: Incorporating an RFID Tag Into Your Pi Pico Project
This is a link to the Sunfounder BreadBoard Power Bank
https://amzn.to/4iRfVNQ
(Affiliate Link)
When using the breadvolt, or any battery power supply on a breadboard project, do not turn the power supply on while the Raspberry Pi Pico is connected to USB, as you could generate voltage conflicts. It is an either or. If the USB is connected, the power supply should be OFF. Or if you are going to connect the USB, first turn off the power supply. If you want to power the Pi Pico by the breadvolt, you should power the pico through the Vsys pin. Complete details on use of a portable power supply on your Pi Pico Projects can be found here:
https://www.youtube.com/watch?v=qFjBMZyn7MU
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this class we will be using the Sunfounder Raspberry Pi Pico W Keppler Kit. It will make things a lot easier if we are working on identical hardware. the link below is to amazon, and is for the identical hardware I will be using in this entire class.
https://amzn.to/3ubMRs1
In this video, I describe how you can incorporate an RFID module into your project, and how to program and read RFID tags. We will be using the RFID-RC522 RF module, and several different tags. We show how 48 bytes of data, or characters can be stored nonvolatilly onto the tags small EEPROM memory. 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
#RFID
#tags -
-
*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 120: Incorporating an RFID Tag Into Your Pi Pico Project](https://i.ytimg.com/vi/b2Kgk16mtTY/mqdefault.jpg)
![Raspberry Pi Pico W LESSON 101: Using PIO State Machines Inside a Micropython Class
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. 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 101: Using PIO State Machines Inside a Micropython Class](https://i.ytimg.com/vi/bCmC7f5aU1I/mqdefault.jpg)
![Raspberry Pi Pico W LESSON 121: Using RFID Tags to Lock or Unlock Projects
This is a link to the Sunfounder BreadBoard Power Bank
https://amzn.to/4iRfVNQ
(Affiliate Link)
When using the breadvolt, or any battery power supply on a breadboard project, do not turn the power supply on while the Raspberry Pi Pico is connected to USB, as you could generate voltage conflicts. It is an either or. If the USB is connected, the power supply should be OFF. Or if you are going to connect the USB, first turn off the power supply. If you want to power the Pi Pico by the breadvolt, you should power the pico through the Vsys pin. Complete details on use of a portable power supply on your Pi Pico Projects can be found here:
https://www.youtube.com/watch?v=qFjBMZyn7MU
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this class we will be using the Sunfounder Raspberry Pi Pico W Keppler Kit. It will make things a lot easier if we are working on identical hardware. the link below is to amazon, and is for the identical hardware I will be using in this entire class.
https://amzn.to/3ubMRs1
In this video, I describe how you can incorporate an RFID module into your project, and how to program and read RFID tags. We will be using the RFID-RC522 RF module, and several different tags. We use the RFID Tag to unlock the system. Then we keep track of servo position associated with each different card that was used. 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
#RFID
#tags -
-
*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 121: Using RFID Tags to Lock or Unlock Projects](https://i.ytimg.com/vi/bM-mr9X-SiU/mqdefault.jpg)
![AI on the Edge LESSON 26: Understanding the HSV Color Space 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 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 use the HSV (Hue, Saturation, Value) color space. This is a more intuitive color space to allow us to find and display an Object of Interest (OOI). This will allow us to find an object in the frame. This skill will allow us to track the Object of Interest in future lessons.
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 at my AI WEB site here:
https://toptechboy.com/ai-on-the-edge-lesson-26-understanding-the-hsv-color-space-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 26: Understanding the HSV Color Space in OpenCV](https://i.ytimg.com/vi/bSeKDcPZ1TM/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 85: Improving MPU6050 IMU Performance With Complimentary Filter
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 improve the performance of your MPU6050 IMU project by incorporating a Complimentary filter. This filter algorithm allows you to exploit the best properties of the accelerometers and combine them with the best properties of the Gyros. This is called Sensor Fusion. The end result is measurement of Roll and Pitch which is fast, accurate, no short term noise, and no long term drift. The MPU6050 contains 3 accelerometers for measuring acceleration along the x axis, the y axis, and the z-axis, and three gyros for measuring rotational velocity around those axis. In todays lesson, I will show you how to activate the three gyros on the MPU6050. Gyros measure the rotational velocity in radians per second. The three gyros measure rotational velocity about the X axis, the Y axis, and the Z axis. I will then show you how to measure roll, pitch, and yaw using only the gyros. 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
#gyro
#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 85: Improving MPU6050 IMU Performance With Complimentary Filter](https://i.ytimg.com/vi/bcNn27wBOzw/mqdefault.jpg)
![Best Hardware for AI on the Edge
Time to Gear Up! I promised a new AI on the Edge Class for all you guys that have been asking for one. The class will drop in March, so the time has arrived to Gear Up for it. This video describes our down select, and it will show the winner, and the hardware you will need. For the class you will need a:
AI Fusion Lab Kit, available here:
https://amzn.to/4cla6re
[At this time you can order the kit. The kit will ship when the units arrive at Amazon, which should be in the next few weeks. Order now, so you dont miss out on the first batch to hit Amazon]
You will also need a pi 5. Get one with as much memory as you can afford, but most pi 5s should work for the class. This is a link.
https://amzn.to/40Gek5n
You will also need power supply and cabling and such, but I assume at this point you have those things. You need a power supply designed for the Pi, the HDMI cable and wireless keyboard and mouse. Hopefully most of you already have those.
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this video I go through the analysis I used to select this hardware platform. Please go ahead and order your gear so we can all begin our class together in March. The tutorials are free, so you will not want to miss these valuable lessons.
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. This means if you visit the link and purchase the item, I will receive an affiliate commission. Regardless, I only recommend products or services I use personally and believe will add value to my readers.]
#AI
#raspberrypi
#Tutorial -
-
*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Best Hardware for AI on the Edge](https://i.ytimg.com/vi/bh4tKqr7B9c/mqdefault.jpg)
![Arduino Uno R4 WiFi LESSON 48: How to Control DC Motor and Speed and Direction with Arduino
Pick your Sunfounder kit up so you get the same results I do:
https://amzn.to/3SciApZ
You can pick up the oscilloscope that I used in this lesson here:
https://amzn.to/3U2vyIe
You guys can help me out over at Patreon, and that will help me keep my gear updated, and help me keep this quality content coming:
https://www.patreon.com/PaulMcWhorter
In this video I show you how to control a simple DC motor using the arduino with a TA6586 Bidirectional Motor Controller. We show how using this chip we can control both the speed and direction of a DC motor using the arduino. The project allows us better understand arduino motor control with step-by-step intstructions. Enjoy!
[Disclosure of Material Connection: I am a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to amazon.com. ]
#arduinor4wifi
#dcmotor
#TA6586 -
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*LEGAL DISCLAIMER:*
The code, hardware setups, circuit diagrams, mathematical calculations, and technical methods provided in this video are strictly for educational and demonstration purposes.
All math, code, and instructional content are provided AS IS, without warranty of any kind, express or implied, including but not limited to guarantees of accuracy, completeness, or fitness for a specific purpose.
All hardware assembly, circuit wiring, and software execution are performed entirely at your own risk. The creator assumes no liability for equipment damage, component failure, data loss, or personal injury resulting from the use or implementation of any information or files presented in this content. Arduino Uno R4 WiFi LESSON 48: How to Control DC Motor and Speed and Direction with Arduino](https://i.ytimg.com/vi/c0aVlxRTRII/mqdefault.jpg)