The FireBeetle 2 ESP32-P4 is a high-performance RISC-V dual-core 400MHz microcontroller development board featuring powerful AI edge processing with single-precision FPU and AI instruction extensions. Equipped with 32MB PSRAM and 16MB Flash, it supports advanced AI applications like voice recognition and image classification. The board offers superior image processing with onboard MIPI-CSI/DSI interfaces supporting up to 1080p@30fps video. Integrated ESP32-C6 module provides WiFi 6 and Bluetooth 5 connectivity, ideal for smart home, AI cameras, and multimedia displays. Compact and versatile, it includes USB OTG, MIC, and TF card slot for enhanced expandability.
Key Features
- Dual-core RISC-V processor: 400MHz + 40MHz with AI extensions
- 32MB PSRAM and 16MB Flash memory
- Supports up to 1080p@30fps image acquisition & display via MIPI-CSI/DSI
- Onboard ESP32-C6 module with WiFi 6 and Bluetooth 5
- Built-in USB OTG 2.0, microphone, and TF card slot
- Extensive peripheral interfaces: UART, SPI, I2C, I3C, ADC, PWM, Infrared
Technical Specifications
- CPU: Dual-core RISC-V 32-bit (400 MHz HP + 40 MHz LP)
- Memory: 32MB PSRAM, 16MB Flash, 768KB L2 Cache
- Connectivity: WiFi 6 (802.11ax 2.4GHz), Bluetooth 5, ESP32-C6 module
- Camera & Display: MIPI-CSI & MIPI-DSI interfaces up to 1080p@30fps
- Power: 3.3V operating, 5V input via Type-C USB
- Dimensions: 25.4mm x 60mm
Applications
- AI network cameras and surveillance
- Smart home central control panels
- AI cat’s eye and tracking pan-tilt cameras
- Digital photo frames and multimedia advertising displays
Why Choose FireBeetle 2 ESP32-P4?
The FireBeetle 2 ESP32-P4 combines cutting-edge AI computing power, advanced image processing, and robust wireless connectivity in a compact, easy-to-use board. Its extensive peripheral support and integrated WiFi 6/Bluetooth 5 module enable developers to build efficient, high-performance AIoT applications effortlessly. Perfect for edge AI, smart devices, and interactive multimedia projects, it accelerates innovation with flexible programming and rich hardware resources.