Uploaded August 2026 | Updated September 2026, 2 weeks ago
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:
patreon.com/PaulMcWhorter
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
[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.
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:
patreon.com/PaulMcWhorter
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
[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.
