This project successfully demonstrates that the Unihiker K10 board, despite being AI-oriented, can effectively utilize standard Arduino libraries for creating traditional electronics projects.

In this Visuino project, you will learn how to use the ESP32-C3 LCD kit to control an RGB LED’s brightness with a rotary encoder. Turning the encoder adjusts the brightness in steps from 0 to 1 with 0.1 increments, and the current brightness level is shown directly on the LCD display. Pressing the encoder’s button instantly sets a random LED color, making the project both fun and interactive. This tutorial is perfect for learning how to: Configure and Use the rotary encoder on ESP32-C3 Display live brightness values on the LCD screen Randomize LED colors with a simple button press Use Visuino Visual Programming to quickly design interactive IoT projects Bring your ESP32-C3 LCD kit to life with this engaging RGB LED brightness controller!

Build a wireless stepper motor controller with ESP32, TMC2240 driver and web interface. Control stepper motors remotely through a web browser via WiFi with precision positioning and real-time feedback.

This simple oscilloscope clock is fully functional, highly adjustable, and has the option of automatically setting the time via the Internet.

This is a modern digital interpretation of a traditional barograph that displays real-time atmospheric pressure trends over a 24-hour period using a high-precision BME280 sensor and ESP32 microcontroller.

AI Bunny is a cute, educational, interactive companion in a 3D-printed bunny enclosure. It listens, speaks, responds, teaches—practicing language, storytelling, educational games, answering questions. This DIY device brings edge AI to life for kids and grownups.

Learn how to interface the ESP32 thermal printer with a complete tutorial. Includes PNP-500 wiring, Arduino code, circuit diagrams, and projects for receipt printing, barcodes, and QR codes. Perfect for microcontroller projects and IoT applications.

This tutorial is ideal for students, hobbyists, or educators who want to integrate precise distance sensing into projects such as robotics, automation, obstacle detection, or smart measuring tools.

This project is to connect an external USB camera on UNIHIKER and use the camera to recognize the object, find the square object in the frame and frame it out.

This project is to connect an external USB camera on UNIHIKER and use the camera to recognize the hands and draw keypoints on it.

The UNIHIKER-based Yolo license plate recognizer uses a USB camera and YOLO model for fast, accurate recognition, enabling smart vehicle monitoring, efficiency, and security.

This project aims to make a wireless handwritten dot matrix screen with UNIHIKER.