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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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