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Magnetic and inertial sensors are becoming incredibly common. The majority of us would struggle to navigate without the navigation software they offer when driving cars or even walking about.
With the aid of GPS and maps, smartphones use electronic compasses (encompasses) based on inertial and magnetic sensor technologies to calculate the direction and lead aimlessly around the urban maze.
A highly sensitive 3-axis magnetometer that aims to measure the geomagnetic field of the Earth is the foundation of the eCompass.
Similar to how a mechanical magnetic compass must be kept horizontal for its needle to freely revolve and point toward the North Pole, it is connected to a 3-axis accelerometer whose primary function is to provide a horizontal reference to the Earth’s magnetic field vector.
The difficulty of converting the sensor data from an accelerometer, gyroscope, and magnetometer into genuine “3D space orientation” is likely something you’ve experienced if ordered and wired up a 9-DOF Orientation sensor.
Orientation is a challenging problem to address. It can be excruciatingly challenging to perfect and apply sensor fusion algorithms on low-cost real-time systems.
These algorithms are the magic ingredient that combines accelerometer, magnetometer, and gyroscope data into consistent three-axis orientation output.
The Global 9-DoF Orientation sensor market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
Bosch is the first company to do this correctly by combining a MEMS accelerometer, magnetometer, and gyroscope on a single die with a fast ARM Cortex-M0 processor to process all the sensor data, remove the need for real-time processing and sensor fusion, and produce data that can be used to calculate quaternions, Euler angles, or vectors.
BNO055 – a clever 9-DOF orientation sensor that accomplishes the sensor fusion all by itself – can have useful sensor data in minutes as opposed to spending weeks or months tinkering with algorithms of varying accuracy and complexity!
