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ESP32-S3R8 microcontroller wifi bluetooth USB-C

ESP32-S3R8 microcontroller wifi bluetooth USB-C

£17.99 GBP
£17.99 GBP
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Taxes included.
ESP32-S3 Nano adopts ESP32-S3R8 as the main chip, compatible with Arduino NanoESP32, suitable for applications such as the Internet of Things or MicroPython. It has a compact appearance and powerful performance, making it suitable for embedding in independent projects.
Using ESP32-S3R8 as the main chip, equipped with high-performance XtensaR 32-bit LX7 dual core processor, with a main frequency of up to 240MHz
·Integrated with 512kB RAM, 384kB ROM, 8MB PSRAM, 16MB Flash memory, 2.4GHz Wi Fi and low-power Bluetooth LE dual-mode wireless communication, with superior RF performance
·Supports seamless switching between Arduino and MicroPython programming, making it more flexible to use
Compatible with Arduino loT Cloud, use Arduino IoT cloud application to monitor and control user projects from anywhere

·Supports HID and simulates human-machine interface devices (such as keyboards or mice) through USB, making interaction with computers more convenient

Main functional features:

·Using ESP32-C6-MINI-1 as the main controller, it is equipped with RISC-V 32-bit single core processor, supporting clock frequencies up to 160 MHz

·Integrated 320KB ROM, 512KB HP SRAM, 16KB LP SRAM, and 4 MB flash storage

Integrated 2.4GHz WiFi and low-power Bluetooth LE dual-mode wireless communication, with superior RF performance

·Using USB Type-C interface.

·The onboard DC-DC chip MP28164 is a high-efficiency DC-DC buck boost chip with a load current of up to 2A

·Up to 20 multifunctional GPIO pins and 7 expansion pins are led out

·Rich peripheral interfaces, including full speed USB OTG, SPI, 12C, UART, ADC, PWM, etc., enable more flexible implementation of various functions

·Stamp hole design, which can be directly welded and integrated into the user's self-designed base plate

·Supports multiple low-power working states, can adjust the balance between communication distance, data rate, and power consumption, and meet the power consumption requirements of various application scenarios

·Supports most Raspberry Pi Pico extension board ecosystems, suitable for artificial intelligence IoT application development

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