ESP32-S3-DevKitC Development Board 16NR8 16MB Flash 8MB RAM Antenna Socket

Tags: controller , wifi , bluetooth

The ESP32-S3-DevKitC-1 (featuring the ESP32-S3-WROOM-1-N16R8 module) is a clone of the entry-level development board from Espressif Systems. It breaks out all the module`s pins into breadboard-friendly headers and adds power management, dual USB ports, and user controls for rapid prototyping.

Key Features & On-Board Hardware

Core Module:
ESP32-S3-WROOM-1 with 16 MB Octal SPI Flash and 8 MB Octal SPI PSRAM, 240 MHz dual-core Xtensa LX7 CPU with AI vector extensions.
Dual USB Ports:
Features a USB-to-UART port (for standard flashing/debugging via a CP2102 chip) and a Native USB OTG port (direct to the S3 chip for USB device emulation, high-speed transfers, or JTAG debugging).
Form Factor & IO:
Dual 22-pin male headers break out GPIOs, ADC, SPI, I2C, UART, PWM, and display/camera interfaces directly to a standard breadboard.
Power Supply:
Accepts power via USB-C (5V) or directly through 5V/3V3 power headers, regulated onboard by a 3.3V LDO.

Specifications
Specs	Microcontroller: ESP32-S3 CPU: Dual-core Xtensa LX7, up to 240 MHz Flash Memory: 16 MB PSRAM: 8 MB Internal SRAM: 512 KB Wi-Fi: 2.4 GHz 802.11 b/g/n Bluetooth: Bluetooth 5 LE Operating Voltage: 3.3 V USB: Native USB OTG and USB Serial GPIO: Up to 45 programmable GPIO pins ADC: 12-bit ADC channels Interfaces: UART, SPI, I2C, I2S, PWM, RMT, TWAI (CAN), SD/MMC Security: Secure Boot, Flash Encryption, AES, RSA, SHA acceleration Antenna: On-board PCB antenna (some models also include IPEX connector) Power Input: 5 V via USB-C, regulated to 3.3 V Logic Level: 3.3 V only (GPIOs are not 5 V tolerant)
Additional Info
Details	Board Features: -USB-C connector for programming and power -BOOT button -RESET/EN button -Power LED -Native USB support -16 MB flash memory - 8 MB PSRAM Compatible with Arduino IDE, ESP-IDF, PlatformIO, and MicroPython Typical applications: -IoT devices -Web servers -Bluetooth projects - USB keyboards/mice/game controllers -Camera applications - AI and machine learning projects - Audio processing - Home automation systems - Data logging and monitoring systems

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