FireBeetle 2 ESP32-P4 AI Vision Board (360MHz RISC-V, MIPI CSI/DSI, Wi-Fi 6)

The FireBeetle 2 ESP32-P4 is a compact development board built around a 360MHz dual-core RISC-V processor and an onboard ESP32-C6 co-processor for Wi-Fi 6 and Bluetooth 5 connectivity. Featuring native MIPI-CSI and MIPI-DSI interfaces, hardware video encoding, and an integrated digital microphone, it is designed for makers, students, and engineers developing edge AI vision systems, smart home panels, and multimedia prototypes.

High-performance RISC-V AI processing

The board is driven by a 32-bit dual-core RISC-V processor clocked at 360MHz with a single-precision FPU and AI instruction extensions, backed by 32MB PSRAM and 16MB flash memory. This provides the processing capacity needed to run lightweight machine learning models such as TensorFlow Lite for on-device facial recognition, object detection, and voice-assisted applications.

Native MIPI display and camera support

Equipped with dedicated 2-lane MIPI-CSI and MIPI-DSI ports, the board connects directly to high-resolution cameras and displays without requiring adapter boards. Integrated hardware accelerators for H.264 and JPEG encoding handle video streams up to 1080p, while the pinouts remain compatible with standard Raspberry Pi camera and display accessories.

Next-generation Wi-Fi 6 and Bluetooth

An onboard ESP32-C6 co-processor delivers 2.4GHz Wi-Fi 6 (802.11ax) and Bluetooth 5 (LE) communication connected directly to the primary chip via SDIO. This wireless architecture improves throughput and reduces latency across congested network environments for responsive edge AIoT deployments.

Integrated audio, storage, and connectivity layout

Within a compact 25.4 x 60mm footprint, the board integrates an onboard PDM digital microphone for acoustic sensing, a TF card slot for local data storage, and two USB Type-C ports for high-speed OTG communication and dedicated programming.

Software and framework compatibility

The FireBeetle 2 ESP32-P4 supports development via both the Arduino IDE and ESP-IDF. Standard general-purpose interfaces can be programmed in the Arduino environment, while advanced AI acceleration and native MIPI-CSI camera functions require the ESP-IDF framework.

Downloads & documentation

• Product wiki (DFRobot)