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Arduino Nicla Sense ME Sensor Development Board, nRF52832, Bluetooth 4.2, Bosch Sensors, ABX00050
Specifications
| Country of Origin | Italy |
|---|---|
| Brand | Arduino |
| Model | ABX00050 |
| Interfaces | USB (USB-B), Pin Header, 3 |
| Kit Classification | Development Board |
| Processor Part Number | nRF52832 |
| Revision | V2.0 |
Key Features
- Features the nRF52832 64 MHz Arm Cortex M4 microcontroller.
- Supports Bluetooth 4.2 connectivity and multiple power options including USB-B, pin header, and 3.7V Li-Po battery with integrated charger.
- Equipped with 512KB Flash, 64KB RAM, and 2MB SPI Flash for storage.
- Ideal for predictive maintenance, robotics, medical recovery, logistics, environmental monitoring, and home automation.
- Tiny size and ultra-low power consumption enable always-on sensor data processing at the edge.
- Offers embedded AI for onboard intelligence and advanced sensing capabilities.
Product Description
Arduino ABX00050 Nicla Sense ME Sensor Development Board combines powerful sensor integration and compact low-power design for industrial and embedded applications. Featuring a robust nRF52832 64 MHz Arm Cortex M4 microcontroller, this development board integrates state-of-the-art sensors from Bosch Sensortec, enabling advanced environmental and motion monitoring.
Equipped with the BHI260AP motion sensor system (with integrated AI), BMM150 magnetometer, BMP390 pressure sensor, and BME688 4-in-1 sensor (combining gas, humidity, temperature, and pressure sensing), the board delivers high accuracy and reliability. These sensors support a wide variety of applications including predictive maintenance, robotics, medical recovery acceleration, logistics and supply chain management, gas detection, air quality assessment, detection of toxic substances, environmental monitoring, and smart home automation.
Features nRF52832 Arm Cortex M4 MCU operating at 64 MHz. High-quality Bosch sensors: accelerometer, gyroscope, magnetometer, pressure, temperature, humidity, and gas detection. 512KB Flash memory and 64KB RAM onboard, with 2MB SPI Flash for system storage and 2MB QSPI for sensor data.
Supports Bluetooth Low Energy (BLE) 4.2 protocol for wireless connectivity with professional and consumer equipment. Multiple power options: USB-B, pin header, and 3.7V Li-Po battery with integrated charging functionality.
Tiny form factor and ultra-low power consumption allow 24/7 always-on sensor processing locally at the edge. Embedded AI capabilities onboard enable intelligent data processing and response.
This development board is ideal for engineers, IoT system developers, and researchers seeking integrated sensing for real-time environmental and motion data. Its robust hardware enables deployment in industrial, laboratory, manufacturing, agricultural, commercial, and educational environments.
Package contains: Arduino Nicla Sense ME sensor development board (Model: ABX00050). Explore more Arduino Sensor Development Tools and modules for Edge AI and industrial monitoring at EnvMart.
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Frequently Asked Questions
It features the nRF52832 64 MHz Arm Cortex M4 microcontroller.
The board includes a BHI260AP motion sensor system, BMM150 magnetometer, BMP390 pressure sensor, and BME688 4-in-1 sensor for gas, humidity, temperature, and pressure sensing.
It supports multiple power options including USB-B, pin header, and a 3.7V Li-Po battery with integrated charging functionality.
It is equipped with 512KB Flash memory, 64KB RAM, and 2MB SPI Flash for storage.
It supports Bluetooth Low Energy (BLE) 4.2 protocol for wireless connectivity.
It is ideal for predictive maintenance, robotics, medical recovery, logistics, environmental monitoring, and smart home automation.
The board has a tiny form factor designed for ultra-low power consumption, enabling 24/7 always-on sensor data processing.
It includes USB (USB-B), pin header, and a connection for a 3.7V Li-Po battery.
It can monitor air quality, detect toxic substances, and assess gas levels, humidity, temperature, and pressure.
The country of origin is Italy.
The revision number is V2.0.
It is aimed at engineers, IoT system developers, and researchers seeking integrated sensing solutions for real-time data.
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