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Arduino Uno R4 WiFi Development Board Starter Kit IoT Development Visual Pan-Tilt Tracking
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ARDUINO•Development board

Arduino Uno R4 WiFi Development Board Starter Kit IoT Development Visual Pan-Tilt Tracking

CN¥649.00
SKU: 100160065498
Status:In Stock (11)
ID: 100133349242
Weight: 2192.00 g
Dims:335x230x90 mm

Specifications

Delivery time
0.5W

Variants / Sale Attributes

Color: Arduino Uno R4 WiFi Vision Kit

Package Contents

Arduino Uno R4 Mini

Product Description

Overview

Brand
ARDUINO
Product Name
Arduino UNO R4 Sensor Development Kit with IoT and Visual Pan-Tilt Platform
Authorized Distributor
Hunan Chuang Le Bo Intelligent Technology Co., Ltd.
Certification Period
2025-07-01 to 2026-06-30

Comprehensive Arduino UNO R4 development kit designed for beginners and enthusiasts to learn programming, sensor applications, IoT, and visual development.

Additional details

Includes Arduino UNO R4 development board (options
Minima, WiFi versions) based on Renesas RA4M1 (Arm Cortex-M4) microcontroller running at 48MHz.

Features over 45 sensor modules including pulse oximeter & heart rate sensor, ToF laser ranging module, 16x16 LED matrix display, RFID module, PIR human body infrared sensor, and more.

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Comes with 406-page full-color printed tutorial book and step-by-step video tutorials covering Arduino IDE basics, programming syntax, sensor experiments, IoT cloud projects, and visual face tracking.

Supports Arduino IDE 2.0+ with features like code completion, real-time debugging, and Chinese language support.

Includes experimental platform tray for organized wiring and protection, breadboards, jumper wires, USB-C download cable, and hardware components.

Supports Arduino IoT Cloud for remote temperature, humidity, and servo control projects (WiFi board required).

Visual pan-tilt platform with ESP32-CAM AI vision module enables 2D face tracking by controlling servo motors.

Additional details

Arduino UNO R3
ATmega328P (8-bit AVR RISC), 16 MHz
Arduino UNO R4 Minima & WiFi
Renesas RA4M1 (32-bit ARM Cortex-M4), 48 MHz
Flash
32 KB (UNO R3), 256 KB (UNO R4)
SRAM
2 KB (UNO R3), 32 KB (UNO R4)

Additional 384 KB SRAM on ESP32-S3 for WiFi version

Additional details

Operating Voltage
5 V
UNO R3
6–20 V
UNO R4 Minima & WiFi
6–24 V
Digital I/O Pins
14
PWM Pins
6
Analog Input Pins
6
DAC Channels
1
UART
1
I2C
1
SPI
1
CAN Bus
1 (UNO R4)
UNO R3
USB-B
UNO R4 Minima & WiFi
USB-C

Real-Time Clock (RTC)

Qwiic connector

12x8 LED matrix display

Experimental platform tray with partitioned design for neat wiring and component protection

Additional details

UNO R3
68.6 x 53.4 mm
UNO R4 Minima & WiFi
68.85 x 53.34 mm

Dual-color LED, RGB LED, Seven-color LED, Relay, Laser sensor, Touch switch, Tilt switch, Vibration switch, Buzzer (active/passive), Reed switch, U-shaped photoelectric sensor, OLED display, Rain detection, PS2 joystick, Potentiometer, Analog Hall sensor, Analog temperature sensor, Sound sensor, Light sensor, Flame alarm, Smoke sensor, Infrared remote control, Ultrasonic sensor, DS18B20 temperature sensor, Rotary encoder, Humidity sensor, Infrared obstacle avoidance, Line tracking sensor, RFID module, DC motor fan, Stepper motor driver, PIR human body sensor, MAX30102 pulse oximeter and heart rate sensor, VL53L0X ToF laser ranging sensor, 16x16 LED matrix display, BMP280 barometric pressure sensor, MPU6050 gyroscope and accelerometer, DS1307 real-time clock, and more.

Arduino IoT Cloud remote temperature, humidity, and servo control (requires UNO R4 WiFi)

Visual 2D pan-tilt face tracking system using ESP32-CAM AI vision module and servo motors

Additional details

Package A
Basic kit with UNO R4 board, breadboards, jumper wires, USB-C cable, 406-page tutorial, experimental tray
Package B
Adds multiple sensor modules including LEDs, relay, laser sensor, switches, buzzers, OLED, joystick, potentiometer, flame and smoke sensors, ultrasonic sensor, and more
Package C
Adds advanced sensors including LCD1602, BMP280, MPU6050, DS1307, pulse oximeter, ToF laser sensor, 16x16 LED matrix
Package D
Adds visual pan-tilt platform with ESP32-CAM AI vision module

406-page full-color printed tutorial book with detailed sensor experiment instructions and example codes

Step-by-step video tutorials for programming, sensor applications, IoT projects, and visual development

Complete wiring diagrams for all sensor experiments for quick and clear assembly

Arduino IDE 2.0+ recommended for programming with features like code navigation, auto-completion, and real-time debugging

Supports Chinese language and theme customization in IDE

Experimental platform tray prevents short circuits and organizes components for neat development environment

This Arduino UNO R4 Sensor Development Kit is ideal for beginners and advanced users to explore embedded programming, sensor integration, IoT cloud applications, and AI-based visual projects with comprehensive hardware and learning materials.

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