Description
This Arduino GIGA R1 WiFi Development Board measures only 101 x 53mm and has the same form factor as the popular Mega and Due. Despite its small size, it offers 76 GPIO pins, which include 12 analog pins, 12 PWM pins, 4 UARTs, 3 I2C ports, 2 SPI ports, 1 FDCAN, and 1 SAI. Additionally, Wi-Fi and Bluetooth LE wireless communications are supported by an external antenna Murata 1DX, so users can quickly connect the board to the Arduino IoT Cloud and remotely monitor their project without concern about communication security.
The GIGA R1 WiFi employs dual-core 32-bit Arm MCU STM32H747XI, bringing together a Cortex-M7 at 480 MHz and a Cortex-M4 at 240 MHz. Besides, it comes with 2MB Flash and 1MB RAM, which allow users to run two programs simultaneously, for example, run micro-python in one and Arduino in the other.
The board features a USB-C connector used for power, programming, and an HID function that allows it to simulate mouse or keyboard when connected to a PC. And it also has a USB-A connector suitable for hosting USB sticks, other mass storage devices, and HID devices such as a mouse or keyboard. Additionally, it includes a 3.5mm input/output audio jack, JTAG connector (2x5 1.27mm), and 20Pin Arducam camera connector. The GIGA R1 WiFi can handle up to 24 volts.
Figure: Arduino GIGA R1 WiFi Pinout
Figure: Arduino GIGA R1 WiFi Block Diagram
Features
Applications
- IoT devices
- Robotics
- Automation
- Smart homes
- Industrial automation
Specifications
Microcontroller | Micro STM32H747XI Cortex-M7 @ 480 MHz + M4 @ 200 MHz MCU with 2MB dual-bank Flash memory, 1 MB RAM, Chrom-ART graphical hardware accelerator |
System Memory | 8MB SDRAM |
Flash | 16MB QSPI NOR flash |
Radio Module | 2.4GHz WiFi 802.11b/g/n up to 65 Mbps and Bluetooth 5.1 BR/EDR/LE via Murata 1DX module |
Display | 20-pin header |
Camera | 20-pin Arducam camera connector |
USB |
Type-C port × 1 (used for programming & HID) USB 2.0 Type-A port × 1 |
Audio | 3.5mm audio jack |
I/O | I/O pins (includes camera/display pins) × 76 |
Serial Communication Interfaces | UART× 4, I2C × 3, SPI × 2 |
PWM | 12 |
Analog Inputs | 12 |
DAC | 2 |
CAN bus | Requires an external transceiver |
Operating Voltage | 3.3V |
Current per I/O Pin | 8mA |
Debugging | JTAG connector |
Input Voltage | 6-24V |
Dimensions | 101×53 mm/3.98×2.09" |
Projects
GIGA R1 WiFi-powered wearable detects falls using a Transformer model
Naveen Kumar set out to produce a wearable fall-detecting device that aims to increase the speed at which this occurs by utilizing a Transformer-based model rather than a more traditional recurrent neural network (RNN) model.