> **Source:** Core Electronics is an Australian maker-electronics retailer and manufacturer based in Newcastle, NSW, run by a team of makers and educators. We design and manufacture our own product lines (PiicoDev, CE originals) and are official retailers for iconic maker and industrial brands including Raspberry Pi, Arduino, Adafruit, SparkFun and DFRobot. Orders ship Australia-wide from our Newcastle warehouse. Prices are in AUD and include GST. Pricing, stock and dispatch on this page are generated from the store's live catalog. Full machine-readable index: https://core-electronics.com.au/llms.txt

# Fermion: BMM350 Triple-Axis Magnetometer Sensor for AR / VR (Breakout)

**Type:** Product page · **SKU:** SEN0622 · **Brand:** [DFRobot](https://core-electronics.com.au/brands/dfrobot-australia)
**Page:** https://core-electronics.com.au/fermion-bmm350-triple-axis-magnetometer-sensor-ar-vr-dfrobot.html ([markdown](https://core-electronics.com.au/fermion-bmm350-triple-axis-magnetometer-sensor-ar-vr-dfrobot.html.md))

The Fermion: BMM350 3-axis geomagnetic sensor is designed to measure magnetic fields across three vertical axes and functions as a compass. Delivers...

## Pricing

- **Price:** $11.85 (inc GST) — $10.77 AUD, exc GST
- **Quantity discounts:** 6+ $10.24 (exc GST) · 12+ $9.80 (exc GST)

## Availability & dispatch

- In stock, ships same business day if ordered before 2PM (Australia/Sydney).
- We can dispatch 2 today, and up to 400 more in 8–12 days.

## How to buy

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## Description

The Fermion: BMM350 3-axis geomagnetic sensor is designed to measure magnetic fields across three vertical axes and functions as a compass. Utilising Bosch's patented FlipCore technology, this sensor provides accurate spatial orientation without the need for calibration. It maintains compatibility with [the previous BMM150 series](https://www.dfrobot.com/product-2626.html) while delivering enhanced performance, including lower power consumption and improved measurement capabilities. The BMM350 is powered by the groundbreaking TMR (tunnel magnetoresistance) technology, coupled with a distinctive field shock recovery feature that fortifies the device against interference from external magnetic fields, guaranteeing consistent high-precision measurements.

**Field Shock Recovery for Stable Performance**

The BMM350 is equipped with a robust field shock recovery function, powered by TMR technology. This ensures that the sensor maintains high performance even when exposed to external magnetic field disturbances. The shock recovery feature allows the sensor to provide consistent, reliable data in challenging environments, making it well-suited for use in mobile or dynamic systems.

**High Sample Rate for Real-Time Data**

Supporting a high sample rate of up to 400Hz, the BMM350 is capable of providing real-time, precise data critical for applications that demand rapid response times, such as AR/VR systems, geomagnetic navigation in AGVs, and drone flight control. The high sample rate ensures accurate spatial orientation and movement tracking.

**Wide Measurement Range and High Resolution**

With a measurement range of ±2000µT across all three axes (XYZ), the BMM350 can accurately capture magnetic fields over a broad spectrum. This expanded range is complemented by a high resolution of 0.1µT, allowing the sensor to detect even the smallest fluctuations in the magnetic field. This makes it ideal for high-precision applications in advanced technology systems.

### Applications

- AR / VR
- E-compass
- AGV Geomagnetic Navigation
- Drones
 
### Specification

- Working voltage: 3.3~5V DC
- Working current: 200µA (Normal mode@100Hz Sample Rate)
- Zero-fild offset: ±25µT
- Protocol: I2C
- Working Temperature: -40~+85?
- Start-up time: 2.5ms
 
### Documents

- [Product wiki](https://wiki.dfrobot.com/SKU_SEN0622_Fermion_BMM350_Triple_Axis_Magnetometer_Sensor)
 
### Parts List

- Fermion: BMM350 Triple Axis Magnetometer Sensor x1
- XH2.54-10pin Header x1

## Images

- [Product image 1](https://core-electronics.com.au/media/catalog/product/S/E/SEN0622-1.jpg)