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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 SmartElex ESP32-S3 DevKit M-1 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 ideal 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, data processing, and machine-learning tasks.

With USB-to-UART support, boot/reset buttons, onboard RGB LED, and JTAG debugging, the ESP32-S3 DevKit M-1 allows fast prototyping and easy firmware flashing through a Micro-USB connection.


Key Features

  • ESP32-S3 Dual-Core MCU (up to 240 MHz)

  • 2.4 GHz Wi-Fi (802.11 b/g/n) with speeds up to 150 Mbps

  • Bluetooth 5 LE & Bluetooth Mesh support

  • 16MB Flash + 8MB PSRAM

  • Compact development board with pin headers

  • USB-to-UART interface for programming & debugging

  • RGB LED and Power Indicator LED

  • Boot & Reset buttons

  • Supports JTAG debugging

  • Wide operating temperature range


Wireless Specifications

Wi-Fi

  • Standard: 802.11 b/g/n

  • Frequency Range: 2412 – 2484 MHz

  • Data Rate: Up to 150 Mbps

  • A-MPDU & A-MSDU aggregation support

Bluetooth

  • Bluetooth LE 5.0

  • Bluetooth Mesh support

  • Data Rates: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps


Technical Specifications

  • Microcontroller: ESP32-S3

  • Module: ESP32-S3-WROOM-1-N16R8

  • Operating Voltage: 3.0 – 3.6 V

  • Power Supply: 5V via Micro-USB

  • Voltage Regulator: 5V to 3.3V LDO

  • GPIO Pins: 34 I/O Pins (UART, SPI, I2C, PWM, ADC, DAC)

  • Operating Temperature: -40°C to +85°C

  • Debug Interface: JTAG

  • Shipping Weight: 0.03 kg

  • Dimensions: 10 × 5 × 2 cm


Applications

  • IoT & Smart Home Devices

  • Embedded Systems

  • Edge AI & Machine Learning

  • Wearable Electronics

  • Industrial Automation

  • Robotics & Wireless Projects

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