Uploaded June 2026 | Updated September 2026, 2 weeks ago
Building a custom 3D-printed DIY Scientific Microscope powered by a high-performance Edge AI board!
Running a local Gemma 4 VLM for real-time microscopic image analysis, cell pattern recognition, and live tracking (Pollen samples & Beetle eye x30 magnification!).
No cloud, 100% local Edge AI processing.
Full build video on my channel!
#aimicroscope #edgeai #gemma4 #vlm #3dprinting #diytech #maker #computervision #robotics #techdiy
Building a custom 3D-printed DIY Scientific Microscope powered by a high-performance Edge AI board!
Running a local Gemma 4 VLM for real-time microscopic image analysis, cell pattern recognition, and live tracking (Pollen samples & Beetle eye x30 magnification!).
No cloud, 100% local Edge AI processing.
Full build video on my channel!
#aimicroscope #edgeai #gemma4 #vlm #3dprinting #diytech #maker #computervision #robotics #techdiy
![ESP32-P4 & Arduino Giga R1: Core Performance Benchmark Using CoreMark
In this video, I compare the core performance of the ESP32-P4 and Arduino Giga R1 microprocessors using the CoreMark benchmark. The ESP32-P4 is equipped with a dual-core 32-bit RISC-V processor, designed for high-performance IoT applications. It offers up to 44 programmable GPIOs, support for advanced peripherals, multiple DMA channels, and enhanced connectivity options like Wi-Fi 6 and Bluetooth 5.4. Additionally, it features hardware accelerators for cryptography and artificial intelligence, making it a versatile choice for complex tasks.
On the other hand, the Arduino Giga R1 boasts a dual-core setup with an ARM Cortex-M7 core running at 480 MHz and an ARM Cortex-M4 core at 240 MHz. It has 76 GPIO pins, built-in Ethernet, a camera interface, and a comprehensive range of peripherals, including several UART, SPI, and I2C interfaces. With its robust DMA controller and dedicated hardware for audio processing and graphics, the Giga R1 is ideal for multimedia-heavy projects and industrial applications.
Whether youre choosing a processor for your next project or just curious about its capabilities, this benchmark provides valuable insights.
[CoreMark]
https://www.eembc.org/coremark/
[CoreMark For Arduino]
https://github.com/PaulStoffregen/CoreMark
[CoreMark For ESP-IDF]
https://components.espressif.com/components/espressif/coremark/versions/1.1.0~1 ESP32-P4 & Arduino Giga R1: Core Performance Benchmark Using CoreMark](https://i.ytimg.com/vi/Egphr3cpnlI/mqdefault.jpg)


![Battery-Powered Wireless Camera Streaming with Raspberry Pi Zero 2 W and AMB82-MINI #HD #FPS #WiFi
In this video, Ill show you how to create a portable, battery-powered streaming system using a Raspberry Pi Zero 2 W and the AMB82-MINI camera module. With this setup, you can stream live video and audio over WiFi Direct, allowing you to monitor your surroundings from anywhere, even off-the-grid locations like camping sites.
This project is perfect for outdoor enthusiasts who want a versatile, DIY surveillance solution thats compact, portable, and capable of streaming video and audio wirelessly. Whether youre camping, hiking, or just exploring the wilderness, this battery-powered streaming camera system will keep you connected and aware of your surroundings.
Stay tuned for a fun and informative guide on building your own battery-powered WiFi streaming camera for outdoor adventures! Subscribe for more DIY tech projects and outdoor gear hacks.
[AMB82-Mini Camera module]
https://amzn.to/4bYOuNk
[Project Source Code]
https://github.com/0015/RPI-Projects/tree/main/WIFI%20Streaming%20Camera
#WiFi #Battery #RTSP #RPI Battery-Powered Wireless Camera Streaming with Raspberry Pi Zero 2 W and AMB82-MINI #HD #FPS #WiFi](https://i.ytimg.com/vi/FEs1RIjfO3Y/mqdefault.jpg)
![Finally! the Embedded Swift Matter Example works! #Apple #EmbeddedSwift #ESP32C6 #Workaround
Apple released an example of using Matter using Embedded Swift at WWDC2024. However, for some reason, its actual use was not possible. A workaround was found by another developer, but it looks like well still have to wait for an official update from Apple. This video shows the Matter accessory in action using a workaround.
[ESP32-C6 ESP-IDF]
https://docs.espressif.com/projects/esp-idf/en/v5.2.2/esp32c6/get-started/index.html
[ESP-Matter]
https://github.com/espressif/esp-matter
[Build a Matter accessory with Embedded Swift]
https://apple.github.io/swift-matter-examples/tutorials/tutorial-table-of-contents/
[Download Swift]
https://www.swift.org/download/
[An Embedded Swift Matter application running on ESP32-C6]
https://github.com/apple/swift-matter-examples
[ESP32-C6-DevKitC-1-N8 Development Board]
https://amzn.to/3xu20dz
#Apple #EmbeddedSwift #ESP32C6 #Matter Finally! the Embedded Swift Matter Example works! #Apple #EmbeddedSwift #ESP32C6 #Workaround](https://i.ytimg.com/vi/FGWUWZf7U5M/mqdefault.jpg)

![I Replaced My 12-Year-Old Charger With This MONSTER!
Saying goodbye to my 12-year-old 40W charger and hello to this 252W monster!
The real-time wattage display is a total game-changer for all my DIY projects, from charging Li-Po batteries to powering a Raspberry Pi handheld device.
[SABRENT VOLTIK Charging Station, 252W 8-Port USB C Charger]
https://amzn.to/43WGlYn
#tech #chargerupgrade #desksetup #diyprojects #hardware #shorts I Replaced My 12-Year-Old Charger With This MONSTER!](https://i.ytimg.com/vi/Fhwgp3kIZUw/mqdefault.jpg)
![Get ready for Ubuntu Desktop with Raspberry Pi 4
[Need more Projects based on Raspberry Pi Series?]
https://www.youtube.com/playlist?list=PLnq7JUnBumAzW2xLxPS07bQlRP-FqHWv_
[10.1 IPS Capacitive Touch Screen with RGB Animated light]
https://www.elecrow.com/meteor-screen-10-1-ips-touch-screen-with-rgb-animated-light-capactivie-screen-compatible-with-raspberry-pi-jetson-nano-beaglebone.html?ann=11 Get ready for Ubuntu Desktop with Raspberry Pi 4](https://i.ytimg.com/vi/FuSzP1ifUls/mqdefault.jpg)
![Building a Virtual Environment for UWB Local Positioning (ft. iPhone LiDAR) #Unity #UWB
3D scanning on the iPhone can produce excellent quality results. This is because it uses a LiDAR sensor, so it can obtain detailed information about the depth of the target object. While working on the UWB project, I am trying to represent the movement of the tag, that is, the users movement, in a virtual environment. If a virtual environment with texture mapping is added, I think it will create a more immersive system.
*List of apps used here (you dont have to use this)
[3D Room Scanner & Modeling AI] (Not free and no need to use it)
https://apps.apple.com/us/app/3d-room-scanner-modeling-ai/id1644692405
[Modelar - 3D LiDAR Scanner] (Only this is free)
https://apps.apple.com/us/app/modelar-3d-lidar-scanner/id1572844190
*Previous UWB Projects
[UWB Trilateration with ESP32, DW3000 #LocalPositioning]
https://youtu.be/NjHMXEOxNRE
[XYZ Position Mapping From Real To Virtual]
https://youtu.be/7oehpBjpucU
[My ESP32 Tag App for my own ESP32Tag Device!]
https://youtu.be/vaYJydZcObU
[ESP32 + UWB + IMU | Indoor Position & Rotation + Unity Visualization]
https://youtu.be/fPuxcjHsfpc
[ESP32 + UWB | Indoor Positioning + Unity Visualization]
https://youtu.be/c8Pn7lS5Ppg
[ESP32 + UWB | Warning sounds depending on the distance]
https://youtu.be/xrDvu8QT1Qs
[ESP32 + UWB | How far can it go?]
https://youtu.be/sv6oUdYyay4
[ESP32 + UWB | Not AirTag, But ESP32Tag]
https://youtu.be/_Bu3lw49m5s
*Other links
[Apple RoomPlan API]
https://developer.apple.com/documentation/roomplan
[Unity Asset - Measuring Tool]
https://assetstore.unity.com/packages/tools/utilities/measuring-tool-226340
[Alembic for Unity]
https://github.com/Unity-Technologies/com.unity.formats.alembic Building a Virtual Environment for UWB Local Positioning (ft. iPhone LiDAR) #Unity #UWB](https://i.ytimg.com/vi/GR9iN4MtMOA/mqdefault.jpg)
![2023 New ESP32Berry Project with T-Deck!
If youre subscribed to my channel, you know that Ive been working on the ESP32Berry project for a while.
The heart of this project is the physical keyboard. We can use the Virtual keyboard to get input from the user, but this is more inconvenient than we thought. In particular, many inputs are not possible.
I personally like using a physical keyboard. Maybe this is why I used Blackberry a long time ago. I think there is something special about a physical keyboard.
Anyway, the ESP32Berry project I worked on before will be recreated based on T-Deck. Would you like to join me on my journey? Its gonna be fun.
[New ESP32Berry Project]
https://github.com/0015/esp32berry
[LilyGO T-Deck]
https://github.com/Xinyuan-LilyGO/T-Deck
#Deck #ESP32Berry #ThatProject #ESP32 2023 New ESP32Berry Project with T-Deck!](https://i.ytimg.com/vi/GwRy2wtQ4fA/mqdefault.jpg)
