Index
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
Feature | Details |
---|---|
Chipset | ESP32-S3 WROOM-N16R8 |
Flash Memory | 16MB |
PSRAM | 8MB |
CPU | Dual-core LX7, 240 MHz |
Wi-Fi | 802.11 b/g/n |
Bluetooth | Bluetooth 5 (LE + Mesh) |
USB Ports | Type-C (OTG + Serial) |
GPIOs | 36, including I2C, SPI, UART, ADC |
USB-OTG Support | Yes |
AI Acceleration | Yes (Vector instructions) |
Camera Interface | Yes (OV2640 supported) |
Power Input | 5V via USB-C |
Operating Voltage | 3.3V logic |
Dimensions | Compact & breadboard-friendly |
Headers | Unsoldered |
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 |
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ESP32-S3 DevKit-N16R8 Pinout Diagram |
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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.
