
Arduino Uno R4 Mini
Designed for Arduino UNO R4 enthusiasts to learn programming, sensor applications, and IoT development.
Supports Arduino IDE programming with step-by-step tutorials.
Comes with 45+ sensor modules covering basic to advanced applications.
Includes 406-page full-color printed tutorial book and hands-on video tutorials.
Suitable for zero-basis learners to quickly start Arduino programming and sensor projects.
Supports Arduino IoT Cloud integration for remote monitoring and control.
Features visual development projects including AI-based face tracking with ESP32-CAM module.

TYPEC interface 168P chip soldered + cable
CN¥22.68
Pulse Oximeter and Heart Rate Sensor (MAX30102)
ToF Laser Ranging Sensor (VL53L0X)
16x16 LED Dot Matrix Display Module
RFID Radio Frequency Identification Module
Human Pyroelectric Infrared Sensor (PIR)
Flame Sensor
Smoke Sensor
Ultrasonic Distance Sensor
Temperature and Humidity Sensors (e.g., DS18B20, BMP280)
Gyroscope and Accelerometer (MPU6050)
Real-Time Clock Module (DS1307)
LCD Display Modules (I2C LCD1602)
Various Switches and Buttons (touch, vibration, tilt, reed switch)
Relay Module
RGB and Multi-color LEDs
Laser Sensor
PS2 Joystick Module
Potentiometer, Hall Effect Sensor, Sound Sensor, Light Sensor
Stepper Motor and DC Motor Driver Modules
OLED Display
Rain Drop Detection Module
Infrared Remote Control Module
Additional modules for advanced IoT and visual projects
Step-by-step paper tutorials and video lessons covering Arduino IDE basics, programming syntax, sensor principles, wiring diagrams, and project implementation.
Over 45 practical experiments ranging from simple LED blinking to complex IoT cloud remote control and AI vision tracking.
Open-source code examples and circuit schematics provided.
Focus on hands-on learning with detailed explanations of sensor working principles, communication protocols, and programming techniques.
Supports Arduino IoT Cloud for remote temperature, humidity monitoring, and servo control.
Visual face tracking system using ESP32-CAM combined with Arduino UNO R4 controlling a 2-axis servo gimbal.
Integration with cloud variables for real-time data interaction.
Compatible with Qwiic connector system.
Includes experimental platform tray for organized project assembly.
Comprehensive sensor knowledge summaries and communication protocol introductions.
Designed and published by Hunan Chuang Le Bo Intelligent Technology Co., Ltd.
Arduino UNO R4 WiFi version required for IoT Cloud experiments involving WiFi connectivity.