ESP32-WROOM-32 Development Board 38-Pin with CP2102

ESP32-WROOM-32 Development Board 38-Pin with CP2102

The ESP32 CP2102 38Pin Development Board is a highly versatile and powerful solution for your IoT and embedded projects. Featuring dual-core processing, 4MB of flash memory, and integrated WiFi and Bluetooth capabilities, this development board is designed to handle complex applications with ease. Its ultra-low power consumption makes it ideal for battery-powered projects. The built-in CP2102 USB-to-UART bridge provides seamless connectivity and easy programming.

Features:

• Dual Core Processing: Handles complex tasks efficiently with two high-performance cores
• WiFi and Bluetooth: Integrated connectivity for versatile wireless applications
• Ultra-Low Power Consumption: Ideal for battery-operated projects with various power-saving modes
• CP2102 USB-to-UART Bridge: Ensures easy programming and debugging
• Rich Peripheral Interfaces: Supports multiple communication protocols and interfaces
• High Memory Capacity: 4MB flash memory for extensive program storage

Technical Specifications:

• Microcontroller: ESP32 dual-core
• Supply voltage: 5 V – with microUSB
• Current consumption: approx. 80 mA
• Flash Memory: 4MB
• Pins: 38 pins
• Connectivity: WiFi 802.11 b/g/n and Bluetooth 4.2 BLE
• USB Interface: CP2102 USB-to-UART bridge
• Operating Voltage: 3.3V
• Power Consumption: Ultra-low power consumption in various modes
• Clock Speed: Up to 240 MHz
• 32 GPIO leads, including:
  • 3x UART
  • 3x SPI
  • 2x I2C (2x I2S)
  • 12 – channel ADC converter
  • 2 – channel DAC converter
  • The PWM outputs
• GPIOs: Multiple GPIOs with various functionalities
• ADC/DAC: 12-bit ADC, 8-bit DAC
• PWM: Pulse Width Modulation support
• Interfaces: SPI, I2C, UART, I2S, and more
• Connector: MicroUSB
• 2 buttons: Enable and Boot
• Goldpin Connectors, 2.54 mm pitch: to help connect to the breadboard
• Pin Spacing (row-to-row): 25mm
• Board Dimensions (L x W): 55 x 28mm

Applications:

• IoT (Internet of Things) devices
• Smart home automation
• Wearable technology
• Wireless sensor networks
• Robotics and control systems
• Data logging and monitoring