ESP32-S3 Development Board 8MB

Overview

ESP32-S3 Development Board featuring Espressif's ESP32-S3 dual-core processor with 8MB Flash memory. A powerful Wi-Fi and Bluetooth 5.0 enabled development board with AI/ML acceleration capabilities, USB-OTG support, and extensive peripheral interfaces. Ideal for AIoT applications, smart home devices, voice recognition, image processing, wireless sensor networks, and advanced embedded systems development. Compatible with Arduino IDE, ESP-IDF, MicroPython, and CircuitPython.

Specifications

Parameter	Value
Model	ESP32-S3 Development Board
Chip	Espressif ESP32-S3
CPU	Dual-core Xtensa LX7 @ 240MHz
Flash Memory	8MB (Quad SPI)
PSRAM	2MB (optional variants)
Wi-Fi	802.11 b/g/n 2.4GHz
Bluetooth	BT 5.0 + BLE
USB	USB-OTG (Full Speed)
GPIO Pins	45 programmable GPIOs
ADC	20 channels × 12-bit
DAC	2 channels × 8-bit
Touch Sensor	14 capacitive touch pins
PWM	Up to 8 channels
UART	3×
SPI	4×
I2C	2×
I2S	2×
Operating Voltage	3.3V
Input Voltage	5V via USB
Operating Temperature	-40°C to +85°C
Dimensions	51mm × 25mm

Pin Configuration

Interface	Pins
Digital GPIO	GPIO0 – GPIO21, GPIO35 – GPIO48
ADC1	GPIO1 – GPIO10
ADC2	GPIO11 – GPIO20
Touch	GPIO1 – GPIO14
UART0	GPIO43 (TX), GPIO44 (RX)
SPI2	GPIO35 (MOSI), GPIO37 (MISO), GPIO36 (SCK)
I2C	GPIO8 (SDA), GPIO9 (SCL)
I2S	GPIO15–GPIO18
USB-OTG	GPIO19 (D-), GPIO20 (D+)
Power	3V3, GND, 5V (VBUS)

Features

• Dual-core Xtensa LX7 @ 240MHz — high-performance processing
• 8MB Flash — large storage for complex applications
• Wi-Fi 2.4GHz — wireless connectivity built-in
• Bluetooth 5.0 + BLE — classic and low energy Bluetooth
• USB-OTG — act as USB host or device
• AI/ML acceleration — vector instructions for neural network inference
• 45 programmable GPIOs — extensive I/O capability
• 14 capacitive touch pins — touchless interface design
• 20-channel 12-bit ADC — high-resolution analog reading
• Low power modes — deep sleep, light sleep for battery applications
• Hardware security — RSA-3072, AES-128/256, SHA-2, ECC
• Arduino IDE compatible — easy programming
• MicroPython support — Python on microcontroller
• ESP-IDF support — professional firmware development

ESP32-S3 vs ESP32 Comparison

Feature	ESP32-S3	ESP32
CPU	Xtensa LX7	Xtensa LX6
Clock Speed	240MHz	240MHz
Performance	~40% faster	Baseline
Flash (this board)	8MB	4MB typical
USB-OTG	Yes	No
AI Acceleration	Yes	No
Touch Pins	14	10
ADC Channels	20	18
Bluetooth	BT5.0 + BLE	BT4.2 + BLE
GPIO Count	45	34

Wiring Common Modules

DHT22 Temperature Sensor

DHT22	ESP32-S3
VCC	3.3V
DATA	GPIO4
GND	GND

SSD1306 OLED Display (I2C)

OLED	ESP32-S3
VCC	3.3V
GND	GND
SDA	GPIO8
SCL	GPIO9

NRF24L01 Wireless

NRF24L01	ESP32-S3
VCC	3.3V
GND	GND
CE	GPIO4
CSN	GPIO5
SCK	GPIO36
MOSI	GPIO35
MISO	GPIO37

Getting Started

Arduino IDE Setup

1. Open Arduino IDE → Preferences
2. Add ESP32 board URL: https://raw.githubusercontent.com/espressif/arduino-esp32/gh-pages/package_esp32_index.json
3. Tools → Board Manager → search esp32 → install
4. Select ESP32S3 Dev Module
5. Set Flash Size: 8MB
6. Select correct COM port
7. Upload your sketch!

MicroPython Setup

1. Download ESP32-S3 MicroPython firmware from micropython.org
2. Flash: esptool.py --chip esp32s3 write_flash 0x0 firmware.bin
3. Connect via rshell or Thonny IDE

Basic Wi-Fi Example

#include <WiFi.h>

const char* ssid = "YourWiFi";
const char* password = "YourPassword";

void setup() {
  Serial.begin(115200);
  WiFi.begin(ssid, password);
  while (WiFi.status() != WL_CONNECTED) {
    delay(500);
    Serial.print(".");
  }
  Serial.println("\nConnected!");
  Serial.println(WiFi.localIP());
}

void loop() {}

⚠️ Important Notes

• 3.3V logic — do NOT connect 5V signals directly to GPIO
• USB-OTG and UART share GPIO19/20 — choose one per project
• ADC2 unreliable when Wi-Fi active — use ADC1 (GPIO1–GPIO10)
• GPIO0 — boot mode pin, avoid using as output
• GPIO45, GPIO46 — strapping pins, use with caution
• Maximum 40mA per GPIO pin
• Use level shifter for 5V sensors and modules
• Add 10μF capacitor on power supply for stable operation

Applications

• Smart home automation hub
• AIoT edge computing
• Voice recognition systems
• Image capture and processing
• Wi-Fi + BLE dual wireless projects
• USB HID devices (keyboard, mouse emulation)
• Industrial IoT gateways
• Wireless sensor networks
• Wearable electronics
• Advanced robotics control
• OTA firmware update systems
• MQTT IoT broker clients