Seeed Studio XIAO ESP32C3 – Tiny MCU Board with Wi-Fi and BLE for IoT Controlling Scenarios. Microcontroller with Battery Charge, Power Efficient, and Rich Interface for Tiny Machine Learning. …

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Seeed Studio XIAO ESP32C3 – Tiny MCU Board with Wi-Fi and BLE for IoT Controlling Scenarios. Microcontroller with Battery Charge, Power Efficient, and Rich Interface for Tiny Machine Learning. …51hSBRh0nNL. AC SL100041ayLluE46L. AC SL100041glxZTU 5L. AC SL100041aAv7b80cL. AC SL100051k+pFANnqL. AC SL1000

Product description

seeed studioseeed studio

Application 1: Smart Private Garage

Materials: XIAO ESP32C3 *2, Grove – Button *1, Grove – Relay*1

Description:

This is a peer-to-peer WiFi communication application, since two XIAOs detect each other via Wifi, the garage door will open or keep opening, and vice versa.

Improvement:

It is nice to add an ultrasonic distance sensor to measure the car-to-door distance and an OLED screen to check the status of the garage. If you want an onboard voice sensor to command the door to open with vocal instruction, try our XIAO BLE Sense.

seeed studioseeed studio

Application 2: Remote Forest Tracker

Materials: XIAO ESP32C3 *1, Grove – LoRa E5 *1, Grove – GPS *1

Description:

Thanks to the tiny size of the XIAO series, it is suitable to make the wearable devices, such as a small pet tracker. This wearable device can be used as a simple GPS-Tracker which will lock its current location and publish other data via LoRa.

Improvement:

A compass that shows direction and distance is a great added value to the tracker that you could consider. Meanwhile, publishing altitude, speed, or other parameters could bring more scenarios to this tracker. Besides, the chip ESP32-C3 allows this tracker to communicate over WiFi or BLE, and therefore, we can upload the tracker’s data or realize the Long Range-to-MQTT bridge as well.

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Chip & Architecture
Microchip SAMD21 (Cortex-M0+ running up to 48MHz) Raspberry Pi RP2040 (Dual-core Cortex-M0+ running up to 133 MHz) Nordic nRF52840 (Cortex-M4 running up to 64 MHz) Expressif ESP32S3 (Dual-core Xtensa LX7 running up to 240 MHz) Expressif ESP32C3 (RISC-V running up to 160 MHz) Expressif ESP32C6 (Two RISC-V processors high-performance one running up to 160 MHz low-power one running up to 20 MHz)

RAM
32 KB SRAM 264 KB SRAM 256 KB SRAM 512 KB SRAM 8MB PSRAM 400 KB SRAM 512KB SRAM

Flash(chip)
256KB / 1MB 384KB 4MB 4MB

Interface
I2C/UART/SPI I2C/UART/SPI I2C/UART/SPI I2C/UART/SPI I2C/UART/SPI I2C/UART/SPI

PWM/Analog Pin
11/11 11/4 11/6 11/9 11/4 11/7

Onboard Button
/ Reset/Boot Button Reset Button Reset/Boot Button Reset/Boot Button Reset/Boot Button

Bluetooth
/ /

WIFI
/ / /

Programming Languages
Arduino, CircuitPython Arduino, MicroPython, CircuitPython Arduino, CircuitPython Arduino, PlatformIO, MicroPython, Zephyr Arduino, PlatformIO, MicroPython, CircuitPython, Zephyr Arduino, PlatformIO, MicroPython, CircuitPython, Zephyr

Baterry Charge IC
/ /

【ESP32-C3 RISC-V Development Board】​​ Built with the ESP32-C3 32-bit RISC-V chip (160MHz), featuring Arduino/CircuitPython support and multiple development ports. Ideal for IoT and edge AI projects.
【Outstanding RF & Long-Range Connectivity】​​ Equipped with U.FL antenna for stable Wi-Fi/BLE5.0 communication over 100m. Complete RF performance ensures reliable IoT connectivity.
【Ultra-Low Power & Battery-Friendly】​​ 4 working modes, including deep sleep at 44μA. Onboard battery charge IC supports Li-ion/LiPo, perfect for wearables and wireless IoT.
【Thumb-Sized & Production-Ready】​​ Compact 21×17.5mm design with SMD/Breadboard-friendly layout. Single-sided component mounting ensures sleek integration into wearables.
【Rich I/O & Edge Computing】​​ 11 digital I/O (PWM) + 4 analog I/O (ADC), plus UART/IIC/SPI/IIS ports. Optimized for TinyML and edge AI applications.

Seeed Studio XIAO ESP32C3 – Tiny MCU Board with Wi-Fi and BLE for IoT Controlling Scenarios. Microcontroller with Battery Charge, Power Efficient, and Rich Interface for Tiny Machine Learning. …
Seeed Studio XIAO ESP32C3 – Tiny MCU Board with Wi-Fi and BLE for IoT Controlling Scenarios. Microcontroller with Battery Charge, Power Efficient, and Rich Interface for Tiny Machine Learning. …

$9.90

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