ESP32-P4 All-in-One Starter Kit with 7-Inch Touchscreen and Edge AI Support

7-Inch Touchscreen, 16 Integrated Modules, and AI-Ready Development Platform

The Elecrow ESP32-P4 All-in-One Starter Kit is an open-source development platform designed for embedded systems education, rapid prototyping, and edge-AI experimentation. It targets students, academic institutions, and professional developers who require a compact yet capable hardware environment combining AI acceleration, multimedia processing, and rich peripheral integration.

At its core, the kit is powered by the ESP32-P4NRW32 wireless microcontroller. The main processing subsystem consists of a dual-core RISC-V CPU running at up to 400 MHz, featuring AI instruction extensions and a single-precision floating-point unit (FPU).

A dedicated low-power RISC-V core (up to 40 MHz) handles background and energy-sensitive tasks. For graphics and video workloads, the SoC integrates a 2D Pixel Processing Accelerator and a VPU supporting H.264 and JPEG decoding, enabling efficient GUI rendering, camera pipelines, and AI-assisted multimedia applications.

Elecrow-ESP32-P4-learning-and-prototyping-Kit
Component Specification
Main CPU Dual-core RISC-V, up to 400 MHz, AI instruction extension, single-precision FPU
Low-Power CPU Single-core RISC-V, up to 40 MHz
Graphics Accelerator 2D Pixel Processing Accelerator (GPU)
Video Processing VPU with H.264 and JPEG decoding support

The kit features a 7-inch IPS capacitive touchscreen with a resolution of 1024 × 600, providing ample screen real estate for LVGL-based GUIs, dashboards, and multimedia interfaces. Visual input is handled by a 2-megapixel wide-angle camera (100° FOV) connected via a MIPI CSI interface, suitable for computer vision, image capture, and basic video processing tasks.

Sixteen onboard electronic modules are pre-integrated, eliminating the need for external wiring during early development stages. These modules cover a broad range of sensing, actuation, and user-interaction scenarios.

Category Integrated Modules
Sensors PIR motion sensor, accelerometer & gyroscope, ultrasonic distance sensor, DHT22 temperature & humidity sensor, MQ-2 gas sensor, Hall sensor, ambient light sensor, capacitive touch sensor
Actuators & I/O Relay module, servo motor interface, speaker, microphone, user buttons, LEDs

The memory subsystem is designed to support multitasking, GUI frameworks, and AI inference workloads. On-chip SRAM is complemented by external PSRAM and NOR Flash, while expandable storage is available via MicroSD.

Elecrow-ESP32-P4-learning-and-prototyping-kit-overview
Memory Type Capacity
HP L2MEM 768 KB
LP SRAM 32 KB
TCM 8 KB
HP ROM 128 KB
LP ROM 16 KB
External PSRAM 32 MB
External NOR Flash 16 MB
Expandable Storage MicroSD card slot (SDIO 3.0)

The ESP32-P4 All-in-One Kit provides a wide selection of wired and expansion interfaces, enabling integration into both standalone and networked embedded systems.

Interface Details
Ethernet 100 Mbps RJ45 with PoE support
USB 2 × USB Type-C (power and data), 1 × USB Type-A
Wireless Expansion Dedicated module slot for optional wireless add-ons
Debug & Serial JST connectors for UART and I²C
Expansion Headers 2 × 20-pin headers (GPIO, I²C, UART, 5 V, 3.3 V, GND)
Elecrow-ESP32-P4-learning-and-prototyping-gets-connected-via-USB-C

Development is centered around Espressif’s ESP-IDF framework, with C and C++ as the primary programming languages. Elecrow provides step-by-step documentation for configuring Visual Studio Code with ESP-IDF and Python tooling. Support for the Arduino IDE is planned through upcoming factory firmware releases.

The official GitHub repository includes open-source schematics, example projects, and more than 20 structured tutorials, covering topics such as:

  • Digital and analog I/O
  • Audio input/output processing
  • LVGL-based GUI development
  • Sensor interfacing
  • Camera integration and image pipelines
  • Voice processing fundamentals
  • Introductory edge-AI workloads

These resources allow learners to progress systematically from basic embedded concepts to multimedia and AI-assisted applications.

Compared to Elecrow’s earlier educational kits—such as Raspberry Pi Pico-based solutions and the CrowPi series—this ESP32-P4 platform is explicitly optimized for embedded AI, computer vision, and voice interaction. It fills a practical gap for developers preparing for edge-AI and intelligent device deployments, rather than general-purpose programming alone.

The entire system is housed in a portable, suitcase-style PP plastic enclosure, measuring 195 × 170 × 46 mm and weighing approximately 600 g. Power is supplied via 5 V USB Type-C, making the kit suitable for desktop use, classrooms, and mobile demonstrations.

Availability and Pricing

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