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Particle Argon IoT Development Kit (Bluetooth, WiFi, Mesh)

Particle Argon IoT Development Kit (Bluetooth, WiFi, Mesh)

The Particle Argon is a versatile Wi-Fi development kit designed for building IoT applications. It features powerful processors including the Nordic nRF52840 and the Espressif ESP32, making it suitable for a wide range of connected device projects. The board includes built-in charging circuitry for easy integration with Li-Po batteries and offers 20 mixed-signal GPIO pins to interface with sensors, actuators, and other electronics.

Package Includes

  • Particle Argon Board
  • External Wi-Fi/Bluetooth Antenna
  • Micro-USB Cable for power and programming
  • Breadboard and basic components (resistors, LEDs)

Particle Kits and Assets
229.00 AED 229.00 AED (Tax included)

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Features

  • Connectivity
    • Wi-Fi (802.11 b/g/n): Provides internet access and cloud communication.
    • Bluetooth 5.0 (BLE): Supports low-energy short-range communication with smartphones and other BLE devices.
    • Mesh Networking: Supports Thread protocol mesh networking to communicate with other Particle devices without Wi-Fi or cellular.
  • Processor
    • Nordic nRF52840: 32-bit ARM Cortex-M4F running at 64 MHz.
  • Memory
    • RAM: 256 KB SRAM.
    • Flash: 1 MB flash storage.
  • Expansion and Peripherals
    • GPIO Pins: Mixed digital and analog GPIO for sensors and actuators.
    • I2C, SPI, UART: Standard communication protocols.
    • PWM and ADC: Supports pulse-width modulation and analog input.
  • Power
    • Powered via USB (5V) or Li-Po battery connector.
    • Includes low-power modes for energy efficiency.
  • Security
    • Hardware cryptographic accelerator.
    • Built-in secure element for cryptographic key storage.
  • Cloud Integration
    • Seamless integration with Particle Cloud for remote management, firmware updates, and data logging.
  • Development and Support
    • Runs Particle Device OS, an open-source RTOS.
    • Supports Particle Workbench IDE (based on VS Code).
    • Comprehensive documentation and community support.
  • Physical Dimensions
    • Compact size ideal for embedding in projects.

Hardware Specifications

  • Processor: Nordic nRF52840 SoC (ARM Cortex-M4F @ 64MHz)
  • Memory: 1MB flash, 256KB RAM
  • Bluetooth: BLE with central and peripheral support
  • GPIO: 20 mixed signal pins (6 analog, 8 PWM), UART, I2C, SPI
  • Extra Features: DSP instructions, hardware FPU, encryption
  • Transmit Power: Adjustable from +8 dBm to -20 dBm
  • NFC-A Radio
  • Wi-Fi Coprocessor: Espressif ESP32-D0WD, 2.4 GHz Wi-Fi (802.11 b/g/n up to 150 Mbps), 4MB flash onboard
  • Board: 4MB SPI flash, micro USB 2.0, Li-Po charging, JTAG debugging, RGB LED, buttons, onboard and external antennas
  • Certifications: FCC, CE, ISED, RoHS compliant

Pinout Highlights

Pin Description Notes
Li+ LiPo battery positive terminal Powers the device
VUSB USB power (5V) input Powers device when USB connected
3V3 3.3V regulated output Powers external components
GND Ground Common ground
EN Enable pin (active high) Pull low to disable device
RST Reset pin (active low) Resets device
MD Mode button input (active low) Setup mode, factory reset
RX/TX UART serial communication or digital GPIO Serial or GPIO functions
SDA/SCL I2C communication pins or digital GPIO For I2C or GPIO
MO/MI/SCK SPI interface pins or digital GPIO SPI or GPIO
D2-D8 General-purpose PWM-capable GPIO Digital I/O and PWM
A0-A5 Analog inputs, PWM-capable digital GPIO Analog sensor input or PWM

Particle Argon Pinout

Applications

  • IoT devices for cloud data collection, monitoring, and control (smart homes, industrial)
  • Wearable technology with Bluetooth and low power consumption
  • Sensor networks for environmental or agricultural monitoring
  • Mesh networking in smart cities or industrial automation
  • Rapid prototyping with Particle Cloud and Workbench
  • Robotics and drones, controlling motors and actuators via PWM and GPIO
  • Secure access control and surveillance systems
  • Health monitoring and telemedicine solutions
  • Energy management in smart grids or buildings

Resources