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Getting Started With ESP32-S3 DevKit-N16R8 Board

Introduction

The ESP32-S3 DevKit-N16R8 is a powerful and feature-rich development board designed for the next generation of AIoT (Artificial Intelligence of Things) applications. With its dual-core processor, generous memory, and robust wireless capabilities, this board is perfect for makers, developers, and engineers building advanced IoT projects.

Whether you’re working with Arduino IDE, MicroPython, or ESP-IDF, this board gives you the flexibility to develop, debug, and deploy smart, connected applications with ease.

Specifications

FeatureDetails
ChipsetESP32-S3 WROOM-N16R8
Flash Memory16MB
PSRAM8MB
CPUDual-core LX7, 240 MHz
Wi-Fi802.11 b/g/n
BluetoothBluetooth 5 (LE + Mesh)
USB PortsType-C (OTG + Serial)
GPIOs36, including I2C, SPI, UART, ADC
USB-OTG SupportYes
AI AccelerationYes (Vector instructions)
Camera InterfaceYes (OV2640 supported)
Power Input5V via USB-C
Operating Voltage3.3V logic
DimensionsCompact & breadboard-friendly
HeadersUnsoldered

Features

  • ESP32-S3 WROOM-N16R8 Chip: Equipped with a dual-core Xtensa® 32-bit LX7 CPU, this chip runs at up to 240 MHz, delivering reliable performance for both wireless communication and edge AI tasks.
  • Memory Boost: 16MB of Flash and a generous 8MB of PSRAM provide ample space for firmware, applications, and buffering for cameras or neural network models.
  • USB Type-C Dual Function: Features both USB-OTG and USB-to-Serial, enabling direct programming and peripheral interfacing without the need for extra converters.
  • Wireless Connectivity: Built-in Wi-Fi (802.11 b/g/n) and Bluetooth 5 (LE) with long-range support make it ideal for mesh networking, BLE sensors, and real-time communication.
  • Camera Ready: Compatible with the OV2640 camera module, making it perfect for vision-based projects such as smart surveillance or face recognition.
  • AI Acceleration: Built-in vector instructions and hardware support for TensorFlow Lite for Microcontrollers enable on-device AI inference.
  • Multiple Programming Environments: Supports Arduino, MicroPython, and ESP-IDF, giving you complete freedom over your development flow.
  • Unsoldered Header Pins: Gives you flexibility to solder as needed for breadboard use or permanent installation.

Why Choose ESP32-S3 DevKit-N16R8?

This board is tailor-made for developers looking to explore the world of AI-powered embedded systems. The combination of PSRAM, USB-OTG, and BLE 5 support opens new doors for prototyping smart cameras, voice assistants, gesture controls, and more.

Its ESP32-S3 chip brings significant improvements over previous generations — especially for tasks involving image processing, speech recognition, and secure communications.

Applications

  • IoT Sensors & Gateways
  • Smart Cameras & Vision Projects
  • Voice-Controlled Interfaces
  • AI at the Edge
  • Wireless Data Logging
  • BLE Beacons or Mesh Devices
  • Home Automation

Hardware overview

ESP32-S3 DevKit-N16R8 indication diagram
ESP32-S3 DevKit-N16R8 Pinout Diagram

Getting Started

Hardware Preparation

To begin working with the ESP32-S3 DevKit-N16R8, ensure you have the following:

  • ESP32-S3 DevKit-N16R8 Development Board
  • USB Type-C Cable
  • Computer with Windows, macOS, or Linux operating system.

Software Preparation

Install Arduino IDE:

  • Download and install the latest version of the Arduino IDE.

Add ESP32 Board Support:

  • Open Arduino IDE and navigate to File > Preferences.
  • In the “Additional Boards Manager URLs” field, enter:
https://raw.githubusercontent.com/espressif/arduino-esp32/gh-pages/package_esp32_index.json
  • Click OK.
  • Go to the “Board manager” tab on the left-hand side of the screen.
  • Click on the “Board Manager” button (Board icon) at the top of the Board tab.
  • In the Board Manager window, type “esp32” in the search bar.
  • Locate the “esp32” library click on the “Install” button next to it.
  • Wait for the board to be installed.

Select the ESP32-S3 Dev Module:

In Arduino IDE, go to Tools > Board and select “ESP32S3 Dev Module” or the appropriate option for your module.

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