Description

This product is a multimedia development board based on ESP32-P4 with integrated ESP32-C6, supports Wi-Fi 6 and Bluetooth 5 wireless connection. It features rich Human-Machine interfaces, including MIPI-CSI (with integrated Image Signal Processor), MIPI-DSI, SPI, I2S, I2C, LED PWM, MCPWM, RMT, ADC, UART, TWAI, etc. Additionally, it supports USB OTG 2.0 HS, onboard RJ45 Ethernet port with reserved PoE function header, and onboard 40PIN GPIO header which is compatible with some Raspberry Pi HATs, enabling a wider range of application adaptability.

The ESP32-P4 adopts a 400MHz dual-core RISC-V processor and supports up to 32MB PSRAM, featuring USB 2.0, MIPI-CSI/DSI, H.264 encoder, and other peripherals, meeting the needs for low-cost, high-performance, and low-power multimedia development. It also integrates the Digital Signature Peripheral and a dedicated Key Management Unit, ensuring secure data and operations. Specifically designed for high-performance and high-security applications, the ESP32-P4-Module-DEV-KIT meets the requirements of Human-Machine interaction, efficient edge computing, and IO expansion.

Key features include:

• High-performance MCU with RISC-V 32-bit dual-core and single-core processors
• 128 KB HP ROM, 16 KB LP ROM, 768 KB HP L2MEM, 32 KB LP SRAM, 8 KB TCM
• Powerful image and voice processing capability. Provides image and voice processing interfaces including JPEG Codec, Pixel Processing Accelerator, Image Signal Processor, H264 encoder
• 32MB PSRAM in the chip’s package, with onboard 16MB Nor Flash
• Commonly used peripherals such as MIPI-CSI, MIPI-DSI, USB 2.0 OTG, Ethernet, SDIO 3.0 TF card slot, microphone, speaker header and RTC battery header, etc.
• Adtaping 2*20 GPIO headers with 28 x remaining programmable GPIOs
• Security features: Secure Boot, Flash Encryption, cryptographic accelerators, and TRNG. Additionally, hardware access protection mechanisms help to enable Access Permission Management and Privilege Separation

Typical Applications

• Smart home and smart building systems

• Industrial automation and control

• Human-Machine Interface (HMI) projects

• Edge computing and AIoT applications

• Advanced embedded system prototyping

• Educational and research projects