The M5Stack FIRE V2.7 is an advanced development board powered by the Espressif ESP32 main control chip, featuring dual Xtensa® 32-bit LX6 microprocessors with a high frequency of 240MHz. With a combination of 8M PSRAM and 16M FLASH memory, it supports diverse applications, including product prototyping, industrial control, and smart building solutions. Its robust design includes a vibrant 2.0-inch full-color IPS display, a 6-axis IMU, and various peripherals like a microphone, speaker, and TFCard slot. The full-cover enclosure ensures reliable circuit performance even in challenging industrial environments.
Upgrades from the M5Stack FIRE V2.6 version include a new glass screen that enhances clarity and provides scratch resistance, significantly prolonging its lifespan. The M5Stack FIRE V2.7 also offers abundant interface resources, such as ADC, DAC, I2C, UART, and SPI, making it easy for users to expand their projects. Powered by a built-in lithium battery, the M5Stack FIRE features dual power options through a Type-C interface and a POGO pin interface. Additionally, it incorporates a magnetic device and a LEGO interface for flexible deployment and connectivity. This versatility makes the M5Stack FIRE an ideal solution for various innovative projects.
Note:
GPIO 16 / 17 of FIRE are connected to PSRAM by default, so when you connect or stack other modules, you need to pay attention to avoid conflicts with these two pins to prevent the device from not working properly and generating instability.
Switching operations:
Power on: Click the red button on the left
Power off: Quickly double-click the red button on the left
USB power: By default, It can not be shut down when USB power is on.
M5Stack FIRE Features
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Based on ESP32 Development: The M5Stack FIRE utilizes the powerful ESP32 platform for enhanced performance in IoT applications.
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Generous Memory: Equipped with 8MB PSRAM and 16MB FLASH memory, providing ample space for your projects.
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Integrated HD IPS Display: Features a high-definition IPS display panel compatible with various hardware peripherals, offering excellent visuals.
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Rich Resource Interface: The M5Stack FIRE boasts a diverse range of interfaces, compatible with M5Stack stacking modules and sensors, allowing for extensive expandability.
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Compatible with M5GO BOTTOM base : Designed to work seamlessly with the M5GO bottom base that fits 8mm-sized LEGO blocks, making construction fun and engaging.
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Microsoft Azure Authentication: Acts as a secure authentication device for Azure, ensuring your applications are protected.
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Multi-Platform Development Compatibility: The M5Stack FIRE supports various development environments, including:
Included
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1x M5Stack FIRE
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1x M5GO Charging Base
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2x LEGO Building Blocks
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5x LEGO Connections
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1x M3 Hex Wrench
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1x Type-C USB (50cm)
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1x User's Manual
M5Stack FIRE Applications
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IoT Controller
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DIY creator works
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Smart Home Control
M5Stack FIRE Specifications
| Specifications | Parameters |
|---|---|
| ESP32-D0WDQ6-V3 | 240MHz dual core, 600 DMIPS, 520KB SRAM, Wi-Fi |
| Flash | 16MB |
| PSRAM | 8MB |
| Input power | 5V @ 500mA |
| Interface | TypeC x1, POGO PIN x1, I2C x1, GPIO x1, UART x1 |
| Keys | Custom Keys x 3 |
| LCD screen | 2.0"@320*240 ILI9342C IPS panel, maximum brightness 853nit |
| Speaker | 1W-0928 |
| Microphone | Analog BSE3729 Microphone |
| IMU | 6-axis MPU6886 |
| USB Chip | CH9102F |
| LED | SK6812 RGB LED x 10 |
| Antenna | 2.4G 3D antenna |
| Battery | 500 mAh @ 3.7V |
| Operating Temperature | 0°C to 40°C |
| Net Weight | 62.3g |
| Gross Weight | 162g |
| Product Dimensions | 54mm x 54mm x 30.5mm |
| Package Size | 105mm x 65mm x 40mm |
| Cover Material | Plastic ( PC ) |
M5Stack FIRE Schematics
M5Stack FIRE Model Size
Datasheets
Softwares
Arduino
UiFlow1
UiFlow2
FAQ
What is the spec of M5Stack Fire?
The M5Stack FIRE is a development kit powered by the ESP32 chipset. It features a built-in display, Wi-Fi, Bluetooth connectivity, and a 600 mAh battery. The board includes a USB-C port that allows for both programming and powering the device. M5Stack FIRE supports multiple programming languages, including UIFlow, MicroPython, and Arduino.