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ESP32-S3 DevKit M-1 N16R8 – 16MB Flash, 8MB PSRAM

ESP32-S3 DevKit M-1 N16R8 – 16MB Flash, 8MB PSRAM

Regular price Rs. 699.00
Regular price Rs. 1,500.00 Sale price Rs. 699.00
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The ESP32-S3 DevKit M-1 (UNSOLDERED) is a powerful and compact development board based on the Espressif ESP32-S3 microcontroller, designed for modern IoT, smart home, embedded, and edge AI applications. It offers high-speed Wi-Fi, Bluetooth 5 (BLE & Mesh), and a rich set of GPIOs, making it suitable for both beginners and advanced developers.

Powered by a dual-core 240 MHz ESP32-S3 processor, this board integrates the ESP32-S3-WROOM-1-N16R8 module, featuring 16MB SPI Flash and 8MB PSRAM for handling complex applications, real-time data processing, and machine learning tasks.

With built-in USB-to-UART support, boot/reset buttons, onboard RGB LED, and JTAG debugging, the ESP32-S3 DevKit M-1 enables fast prototyping and easy firmware uploading through a USB Type-C connection, offering better durability and modern connectivity.


Key Features

  • ESP32-S3 Dual-Core MCU (up to 240 MHz)
  • 2.4 GHz Wi-Fi (802.11 b/g/n)
  • Bluetooth 5 LE & Mesh support
  • 16MB Flash + 8MB PSRAM
  • Compact board with header pins
  • USB Type-C interface for programming and power
  • Built-in USB-to-UART for easy flashing
  • Onboard RGB LED and power indicator
  • Boot and Reset buttons
  • Supports JTAG debugging
  • Wide operating temperature range

Wireless Specifications

Wi-Fi

  • Standard: 802.11 b/g/n
  • Frequency: 2412 – 2484 MHz
  • Data Rate: Up to 150 Mbps
  • Supports A-MPDU & A-MSDU

Bluetooth

  • Bluetooth LE 5.0
  • Mesh networking support
  • Data Rates: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps

Technical Specifications

  • Microcontroller: ESP32-S3
  • Module: ESP32-S3-WROOM-1-N16R8
  • Operating Voltage: 3.0V – 3.6V
  • Power Supply: 5V via USB Type-C
  • Voltage Regulator: 5V to 3.3V LDO
  • GPIO: 34 multifunction pins (UART, SPI, I2C, PWM, ADC, DAC)
  • Debug Interface: JTAG
  • Operating Temperature: -40°C to +85°C

Applications

  • IoT and Smart Home devices
  • Embedded system development
  • Edge AI and machine learning projects
  • Wearable electronics
  • Industrial automation
  • Robotics and wireless communication projects
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