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ESP32 Wi-Fi + Bluetooth Module (30 Pin) (Pre-Soldered)


  • Powerful ESP32 Module – Features dual-core processor with built-in Wi-Fi & Bluetooth.

  • Pre-Soldered Headers – Ready to use for quick prototyping and development.

  • 30-Pin Configuration – Compatible with various IoT and embedded systems.

  • Low Power Consumption – Ideal for battery-powered applications.

  • Multiple Interfaces – Supports SPI, I2C, UART, ADC, and PWM.

  • Robust Connectivity – Enables seamless wireless communication for smart projects.

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The ESP32 Wi-Fi + Bluetooth Module (30 Pin) (Pre-Soldered) is a powerful and versatile microcontroller designed for IoT, smart home, and automation projects. Featuring a dual-core processor, built-in Wi-Fi and Bluetooth capabilities, and low power consumption, this module is an excellent choice for wireless communication and embedded systems. The 30-pin layout provides easy interfacing with sensors, actuators, and other peripherals, while the pre-soldered headers allow for quick and hassle-free prototyping.

Key Features:

  • Powerful Dual-Core Processor: Based on the ESP32 chip with a 32-bit Xtensa LX6 dual-core processor, delivering high performance.
  • Wi-Fi & Bluetooth Connectivity: Supports 802.11 b/g/n Wi-Fi and Bluetooth v4.2 (Classic + BLE) for seamless wireless communication.
  • Pre-Soldered Headers: Comes with pre-soldered headers, eliminating the need for manual soldering and allowing easy plug-and-play integration.
  • 30-Pin Interface: Standard pin layout with GPIOs, ADC, DAC, SPI, I2C, UART, and PWM for versatile project applications.
  • Low Power Consumption: Ideal for battery-operated applications with multiple power-saving modes.
  • Compatible with Arduino & MicroPython: Easily programmable with Arduino IDE, ESP-IDF, and MicroPython, making development flexible and beginner-friendly.
  • Robust and Reliable: Designed for long-term operation in various IoT, home automation, and industrial applications.

Applications:

  • Internet of Things (IoT) projects
  • Smart home automation
  • Wireless sensor networks
  • Robotics and AI projects
  • Wearable technology
  • Data logging and remote monitoring

Note: Images are for illustration purposes only.

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