DFRobot Launches FireBeetle 2 ESP32-P4 Edge AI and Multimedia Development Platform

DFRobot, a global leader in open-source hardware solutions, today announced the FireBeetle 2 ESP32-P4 AI vision board, a highly integrated development board designed to accelerate edge AI and multimedia applications. Powered by a dual-core 360MHz RISC-V processor with AI instruction extensions and featuring native MIPI-CSI/DSI interfaces, Wi-Fi 6 connectivity, and an onboard digital microphone, this compact yet powerful board is engineered to streamline the development of next-gen AI cameras, smart home control panels, and interactive GUI systems.

The FireBeetle 2 ESP32-P4 AI vision board unlocks new possibilities across multiple industries. In smart security, it enables high-performance AI network cameras and video doorbells with real-time object detection and facial recognition. For industrial automation, its MIPI-DSI interface and low-latency Wi-Fi 6 support robust HMI panels and equipment monitoring systems. Consumer electronics developers can leverage its hardware-accelerated video encoding to build interactive digital photo frames and advertising displays, while makers of smart home devices benefit from its integrated PDM microphone for voice-controlled assistants. Additionally, its Raspberry Pi-compatible camera/display interfaces and microSD storage make it ideal for AI-powered gimbals, educational robotics, and prototyping IoT edge nodes—all within a footprint smaller than a credit card.

Technical Highlights & Availability

• AI Engine: Dual-core RISC-V CPU + FPU for TensorFlow Lite deployment
• Multimedia: 1080p MIPI camera/display support + H.264/JPEG hardware encoding
• Wireless: Wi-Fi 6 (802.11ax) + Bluetooth 5 via ESP32-C6 co-processor
• Compact Design: 25.4×60mm with USB-C OTG, PDM mic, and microSD slot

DFRobot Launches FireBeetle 2 ESP32-P4: Affordable Edge AI Platform for Next-Gen IoT and Multimedia

DFRobot launched the FireBeetle 2 ESP32-P4, a compact, highly integrated development board that sets a new standard for edge AI and multimedia applications. With a retail price of just $11.90, this device offers exceptional value while empowering engineers and makers to bring advanced, high-performance AI solutions to life rapidly and affordably.

Key Specifications

• HP Core：RISC-V 32-bit Dual-core Microprocessor 360 MHz
• LP Core：RISC-V 32-bit Single-core Microprocessor 40 MHz
• 32MB PSRAM, 16MB flash
• Wi-Fi 6 (802.11ax), Bluetooth 5 (LE)
• MIPI-CSI/DSI, USB OTG, 24 digital I/O, PDM microphone, TF card slot
• Size: 25.4 x 60mm
• Operating temp: -10~60℃

Powerful AI and Multimedia Performance

At the core of the FireBeetle 2 ESP32-P4 is a 360MHz dual-core RISC-V processor equipped with single-precision FPU and dedicated AI instruction extensions. This allows developers to deploy lightweight machine learning models, such as TensorFlow Lite, directly on the device—enabling fast, on-device applications like facial recognition, object detection, and voice-activated AI assistants.

Designed with integrated MIPI-CSI/DSI interfaces, the board connects natively to high-resolution cameras and displays, streamlining the development of AI cameras, interactive GUIs, and smart home control panels. Hardware accelerators for H.264 and JPEG encoding ensure smooth 1080p video streaming, while pin compatibility with Raspberry Pi peripherals simplifies design and prototyping.

Compact, Integrated, and Developer-Friendly

Despite its impressive feature set, FireBeetle 2’s minimal 25.4 x 60mm footprint houses an onboard PDM digital microphone and a TF card slot for local data storage, reducing external components and enabling more compact end products. The board also features high-speed USB OTG and Type-C ports, further improving usability and connectivity.

Ready for the Future with Advanced Connectivity

Equipped with an onboard ESP32-C6 co-processor, the FireBeetle 2 ESP32-P4 supports the latest Wi-Fi 6 and Bluetooth 5 (LE) standards, delivering higher bandwidth, lower latency, and robust wireless communication—even in congested environments. It is fully compatible with both Arduino IDE and ESP-IDF, ensuring a seamless development experience for a wide range of users (note: MIPI-CSI and AI features currently require ESP-IDF).

Extensive Applications for Smart Devices

Ideal for applications such as:

• AI-powered network cameras and smart surveillance
• AI video doorbells and smart peephole viewers
• Object tracking gimbals and robots
• Smart home control panels
• Interactive digital photo frames
• Multimedia advertising players

For detailed pinouts, interface guides, and technical documentation, please visit the official Product Wiki.