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FireBeetle 2 ESP32-P4 High-Performance Edge AI Microcontroller The FireBeetle 2 ESP32-P4 is a next-generation, high-performance microcontroller development b...

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FireBeetle 2 ESP32-P4 High-Performance Edge AI Microcontroller

The FireBeetle 2 ESP32-P4 is a next-generation, high-performance microcontroller development board built around the powerful ESP32-P4R32 chip. Designed for modern AIoT applications, it features dual-core 400 MHz RISC-V processing, advanced AI acceleration, and industry-leading image and video processing capabilities—all in a compact 25.4 × 60 mm form factor.

With built-in single-precision FPU, AI instruction extensions, and support for lightweight machine-learning frameworks such as TensorFlow Lite, the ESP32-P4 enables real-time edge AI tasks including voice wake word detection, image classification, face recognition, and intelligent vision applications.

A standout feature of this board is its onboard image pipeline, including a JPEG codec, ISP, PPA, and H.264 encoder. Combined with MIPI-CSI and MIPI-DSI interfaces, the FireBeetle 2 supports 1080p@30fps or 720p@88fps image acquisition and display—perfect for AI cameras, robot vision systems, smart home control panels, and multimedia displays.

To expand connectivity, the board integrates an ESP32-C6 module, providing WiFi 6 and Bluetooth 5 wireless communication. Additional features like USB OTG, onboard microphone, and TF card slot make the FireBeetle 2 ESP32-P4 a complete and ready-to-use solution for sophisticated AIoT devices.


Key Features

  • Dual-core RISC-V 400 MHz + single-core RISC-V 40 MHz architecture

  • AI acceleration with single-precision FPU and AI instruction extensions

  • 768 KB L2MEM + 32 MB PSRAM + 16 MB Flash for high-performance compute and storage

  • Advanced image/video pipeline:

    • JPEG encoder/decoder

    • Image Signal Processor (ISP)

    • Pixel Processing Accelerator (PPA)

    • H.264 hardware video encoder

  • MIPI-DSI display support up to 1080p@30fps

  • MIPI-CSI camera support up to 1080p@30fps

  • Integrated ESP32-C6 (WiFi 6 + Bluetooth 5) module via SDIO

  • Rich onboard peripherals:

    • USB OTG 2.0 (Type-C, high-speed)

    • PDM microphone

    • TF card slot

  • Compact design: 25.4 × 60 mm


Ideal Applications

  • AI network cameras

  • Smart “cat-eye” door viewers

  • Tracking/auto-pan security cameras

  • Smart home central control screens

  • Digital photo frames & multimedia displays

  • AI robotics & edge-processing systems


Specifications

Basic Parameters

  • Operating voltage: 3.3 V

  • Type-C input voltage: 5 V

  • DCVIN input voltage: 5 V

  • Operating temperature: -10°C to 60°C

  • Dimensions: 25.4 × 60 mm


Hardware – CPU & Memory

  • High-performance (HP) core: RISC-V 32-bit dual-core, 400 MHz

  • Low-power (LP) core: RISC-V 32-bit single-core, 40 MHz

  • Memory:

    • 32 MB PSRAM

    • 16 MB Flash

    • 768 KB HP L2MEM

    • 32 KB LP SRAM

    • 128 KB HP ROM

    • 16 KB LP ROM

Jargon buster

Plain-language definitions for the technical terms used above.

DSI
DSI stands for Display Serial Interface, a high-speed connection commonly used to send video data from a computer board to a display. It matters because DSI signals are not simple GPIO wires, so the cable, connector, and signal routing need to match the display interface.
encoder
A device attached to a motor or shaft that reports movement, such as rotation steps or position. In a pump system, an encoder can help measure or control how much the motor has turned, which affects how repeatable the watering amount can be.
ESP32
ESP32 is a family of microcontroller modules with built-in wireless features such as Bluetooth and WiFi. Knowing this product uses an ESP32-based module helps explain how it provides wireless serial communication and firmware update features.
FPU
A floating-point unit is hardware inside a processor that speeds up calculations with decimal numbers. This helps when projects use maths-heavy tasks such as motion sensing, filtering sensor readings, or audio processing.
ISP
An image signal processor is hardware that helps process raw camera data into usable images or video. It matters for vision projects because it can improve camera handling and reduce the processing load on the main CPU.
JPEG
A compressed image file format commonly used for photos. It matters because the camera sends already-compressed snapshots, which are easier to store on an SD card or transmit over a slow serial link than raw image data.
microcontroller
A microcontroller is a small computer on a chip that runs your program and controls connected inputs and outputs. For this product, it is the part that reads buttons and sensors, drives the display and speaker, and communicates over Bluetooth.
MIPI
MIPI is a high-speed display and camera interface often used inside phones, tablets, and embedded devices. It matters because raw MIPI displays usually need special driver hardware or software support, unlike plug-and-play HDMI screens.
MIPI-CSI
A camera interface used on many embedded computer boards to connect compact camera modules directly to the processor. It matters for vision projects because it can handle high-resolution camera data with less overhead than a USB camera.
RISC-V
An open processor architecture used inside some modern microcontroller chips. It matters because it affects the software tools, performance, and low-power features available for developing projects on the board.
SRAM
Fast temporary memory used by a processor while a program is running. More SRAM helps with projects that handle larger data buffers, networking, displays, or more complex code.

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