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The FireBeetle 2 ESP32-P4 accelerates Edge AI and multimedia projects with its compact, highly-integrated design. Powered by a 360MHz dual-core RISC-V CPU, native MIPI-CSI/DSI interfaces, an onboard microphone, and Wi-Fi 6 connectivity, it is the ideal core for AI cameras, interactive GUIs, and smart home panels.
At its center, the board integrates a 360MHz dual-core RISC-V processor with single-precision FPU and AI instruction extensions. This enables direct deployment of lightweight ML models such as TensorFlow Lite for facial recognition, object detection, and voice-based AI assistants.
With native MIPI-CSI and MIPI-DSI interfaces, the board supports direct connection of high-resolution cameras and displays. Hardware accelerators for H.264 video and JPEG encoding allow efficient handling of 1080p video streams. Interfaces are pin-compatible with Raspberry Pi peripherals,, simplifying component sourcing.
Measuring only 25.4 60mm, the FireBeetle 2 includes a PDM digital microphone for voice applications and a TF card slot for local storage. This integration reduces external modules, streamlines product design, and is ideal for space-constrained devices.
Equipped with an ESP32-C6 co-processor, the board supports Wi-Fi 6 for higher throughput and lower latency, plus Bluetooth 5 (LE) for versatile peripheral communication.
For detailed pin descriptions, see the Product Wiki.
For rapid prototyping, consider the FireBeetle 2 ESP32-P4 Development Kit,which includes the board and an IO Expansion Board for plug-and-play peripherals.
The board uses the ESP32-P4 chip (v1.0) at 360MHz. It supports both Arduino IDE and ESP-IDF. Note: MIPI-CSI and AI functions currently require ESP-IDF; other functions are fully Arduino-compatible.
Note: Pins are multiplexed; numbers above are maximum values.
ESP32-P4 Datasheet | FireBeetle 2 ESP32-P4 Schematic
The FireBeetle 2 ESP32-P4 accelerates Edge AI and multimedia projects with its compact, highly-integrated design. Powered by a 360MHz dual-core RISC-V CPU, native MIPI-CSI/DSI interfaces, an onboard microphone, and Wi-Fi 6 connectivity, it is the ideal core for AI cameras, interactive GUIs, and smart home panels.
At its center, the board integrates a 360MHz dual-core RISC-V processor with single-precision FPU and AI instruction extensions. This enables direct deployment of lightweight ML models such as TensorFlow Lite for facial recognition, object detection, and voice-based AI assistants.
With native MIPI-CSI and MIPI-DSI interfaces, the board supports direct connection of high-resolution cameras and displays. Hardware accelerators for H.264 video and JPEG encoding allow efficient handling of 1080p video streams. Interfaces are pin-compatible with Raspberry Pi peripherals,, simplifying component sourcing.
Measuring only 25.4 60mm, the FireBeetle 2 includes a PDM digital microphone for voice applications and a TF card slot for local storage. This integration reduces external modules, streamlines product design, and is ideal for space-constrained devices.
Equipped with an ESP32-C6 co-processor, the board supports Wi-Fi 6 for higher throughput and lower latency, plus Bluetooth 5 (LE) for versatile peripheral communication.
For detailed pin descriptions, see the Product Wiki.
For rapid prototyping, consider the FireBeetle 2 ESP32-P4 Development Kit,which includes the board and an IO Expansion Board for plug-and-play peripherals.
The board uses the ESP32-P4 chip (v1.0) at 360MHz. It supports both Arduino IDE and ESP-IDF. Note: MIPI-CSI and AI functions currently require ESP-IDF; other functions are fully Arduino-compatible.
Note: Pins are multiplexed; numbers above are maximum values.
ESP32-P4 Datasheet | FireBeetle 2 ESP32-P4 Schematic
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