The UNIHIKER K10 is an AI learning device for education, equipped with a 2.8-inch color screen, Wi-Fi, Bluetooth, camera, sensors, and various interfaces.

In this video we take a look at the Upgraded LattePanda MU N305 Micro x86 Compute Module!

Today we’re diving into the LattePanda world with the “Mu” model that comes with a Intel Celeron N100 4 Core 4 Thread and it’s tiny! The best part is this kit has a motherboard that accepts a graphics card.

Developed by Motorola in the mid-1980s, SPI is a de-facto serial interface standard with no official specifications, supporting four configurable transmission modes for short-distance inter-chip communication.

This project creates a portable CO₂ detection card using the SCD41 infrared photo-acoustic sensor, replacing bulky NDIR systems with MEMS microphones to shrink optical chambers for compact design.

Explore the Gravity: Offline Language Learning Voice Recognition Sensor. No internet required, 121 commands + 17 customize. Ideal for arduino & ESP32!

This project showcases an AI-powered gas detection device based on the DFRobot UNIHIKER K10. The device utilizes four types of odor sensors (Odor, Smoke, VOC, H2S) to collect real-time gas data from garlic and coffee beans.

In this video, we will talk about the Fermion: 1.51” OLED Transparent Display with Converter (Breakout) and how it works. This is a 1.51” SSD1309 transparent monochrome OLED display (light blue) with a converter.

Welcome to our new series of videos. In this series, we will use the ESP32 series development boards to explore the world of the Internet of Things.

As IoT technology continues to evolve rapidly, advanced communication protocols and machine learning capabilities are becoming increasingly important. ESP32-C6 and ESP32-S3 chips are leading the pack.

The electronic nose project we introduce today uses the ESP32-S3 chip and the Edge Impulse platform for TinyML model training and deployment. By detecting the gas components in the air, it can realize the identification and classification of odors.

In this video, we will delve into the ESP-NOW technology to understand how to use it to achieve efficient wireless communication between multiple devices.

LattePanda Mu is a versatile micro x86 compute module with an Intel N100 quad-core processor, supporting both Windows and Linux. It offers a customizable TDP and a wide range of interfaces, including HDMI/Display Port, USB, and PCIe.

LattePanda Sigma is a powerful x86 SBC with Intel Core i5-1340P, Intel Iris Xe Graphics, and 16GB RAM. It supports 4K multi-display and diverse connectivity for versatile applications.

LattePanda 3 Delta's integrated Arduino Leonardo enables external volume control, showcased in this video. Ideal for applications like arcade gaming, digital signage, and live broadcasting equipment.

UNIHIKER is a versatile single-board computer with a 2.8-inch touchscreen, Wi-Fi, Bluetooth, and a suite of sensors. It's designed for easy programming with pre-installed tools and supports IoT capabilities for data storage and real-time access.

Build a Raspberry Pi Node-RED Dashboard: Part 2– Temperature-Humidity Sensing is Day 5 is this series.

Build a Raspberry Pi Node-RED Dashboard: Part 1– DC Fan Controller is Day 4 in this series.

A Conceptual Industry 4.0 Test Circuit Part 2 – Wireless Control is Day 3 in this series.

A Conceptual Industry 4.0 Test Circuit Part 1 – Wireless Sensing is Day 2 in this series.