Seeed Studio XIAO ESP32

Br 2,950.00

  • Seeed Studio XIAO ESP32-C3 WiFi Bluetooth-compatible Mesh Development Module 4MB Flash 400KB SRAM For Arduino
  • Processor – ESP32-C3 SoC RISC-V single-core 32-bit chip processor with a four-stage pipeline that operates at up to 160 MHz
  • Wireless communication – Complete 2.4GHz Wi-Fi subsystem and Bluetooth 5.0/ Bluetooth mesh
  • On-chip Memory – 400KB SRAM & 4MB Flash
  • Interface – 1x UART, 1x IIC, 1x IIS, 1x SPI,11x GPIO(PWM), 4x ADC, 1x Reset button, 1x Boot button
  • Dimension 21 x 17.5mm
  • Circuit operating voltage:3.3V@200mA
  • Charging current: 50mA/100mA
  • Input voltage (VIN): 5V
  • Deep Sleep Power (Consumption >44 μA )
  • Wi-Fi Enabled Power Consumption (Active Model: <75 mA, Modem-sleep Model: <25 mA, Light-sleep Model: <4 mA)
  • BLE Enabled Power Consumption (Modem-sleep Model: <27 mA, Light-sleep Model: <10 mA)
  • Seeed Studio XIAO ESP32C3 featuringESP32C3carries a complete Wi-Fi system along with Bluetooth Low Energy function. With its exquisite design andWiFi+BTability, it’s perfect for variousIoT controlling scenariosandcomplex carriable applications.
  • Outstanding RF performance: �PowerfulESP32-C3 SoCand U.FL antenna provided that supports WiFi/Bluetooth connection over 100m.
  • Thumb-size Design: 21 x 17.5mm overall dimension, portable and lightweight.
  • Low power consumption: Lowest as 44 μA (deep sleep mode), with 4 working modes available.
  • Onboard battery charge IC:�Supports battery charging, great for various wearable scenarios and wireless IoT applications.
  • Ready for productization: Single-sided components design, easily integrated into other boards and Seeed provides Fusion Service for rapid production.
  • This board comes included with an external antenna to increase the signal strength for wireless applications. There are 11 digital I/O that can be used as PWM pins and 4 analog i/o that can be used as ADC pins. It supports UART, IIC, and SPI serial communication ports, also including IIS (Internet Information Services).

Application

  • Internet of Things
  • Wearable devices
  • Health monitoring
  • Education
  • Low-Power(LP) networking
  • Rapid prototyping

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