Description
Feature
✅ Ready out of the box, zero barriers to learning AI.
- 16-in-1 integrated module: Includes sensors for temperature, humidity, light, microphone, etc. No wiring required, just plug in and play.
- Step-by-step lessons: 19 easy-to-difficult courses, covering sensor basics, voice AI, and computer vision, with accompanying video tutorials.
✅ Powerful hardware, maximum performance.
- ESP32-P4 dual-core RISC-V: High-performance processing, easily running AI algorithms such as voice recognition and image processing.
- 7-inch IPS screen (1024×600): High-definition touchscreen, real-time data and camera feed display.
- 200W camera + dual speakers: Supports interactive projects such as image recognition and voice interaction.
✅ Flexible expansion, endless possibilities.
- Rich interfaces: I2C/UART for connecting to additional sensors; Type-C/Ethernet/USB/SD card slot for greater expansion.
- Wireless expansion: Reserved wireless module slot supports Wireless Wi-Fi/Bluetooth modules (optional).
- Open source: Open code and tutorials, supporting development.
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Description
What is ESP32-P4?
ESP32-P4 is a high-performance MCU that supports large internal memory and has powerful image and voice processing capabilities. The MCU consists of a High Performance (HP) system and a Low Power (LP) system.
The all-in-one Starter Kit for ESP32-P4 is based on Espressif's ESP32-P4, a high-performance 32-bit RISC-V dual-core and single-core microprocessor with powerful image and voice processing capabilities. It integrates 16 common sensor modules on a single circuit board, eliminating the need for complex soldering and wiring.
It supports C/C++ programming and offers 19 easy-to-advanced courses to help users easily master AI applications. This kit allows you to quickly learn the basics of the ESP32 chip system, sensor communication principles, and simple AI projects.
The ESP32-P4 development board kit is ideal for students getting started with IoT, teachers implementing smart education, makers seeking creative projects, and hardware engineers, making embedded development and AI learning simple and efficient.