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GY- BNO080 BNO085 AR VR IMU High Accuracy Nine-Axis 9DOF AHRS Sensor Module

$416.00 USD

~~$0.00 USD~~ $416.00 USD

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Color BNO086 GY-ICM20948V2 GY- BNO080

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SPECIFICATIONS

Brand Name: Ah robot

Choice: yes

Condition: New

High-concerned chemical: none

Origin: Mainland China

Type: Voltage Regulator

semi_Choice: yes

The BNO080/085 is a 9-axis system-level package (SiP) that enables rapid development of sensor-enabled augmented reality (AR), virtual reality (VR), robotics and iot devices. Developed by Bosch and Hillcrest Labs, it features a high-performance accelerometer, magnetometer and gyroscope in a low-power 32-bit ARM Cortex M0 + MCU in a small package. Hillcrest's Freespace® sensor hub software, pre-integrated on the BNO080/085, provides superior 9 - and 6-axis motion tracking to enable exciting sensor applications in a wide range of consumer and iot products.

The BNO080/085 delivers application-specific configuration, functionality, and performance in a small turnkey component, benefiting Oems by reducing time to market, reducing development time and BOM costs, and providing the highest precision and quality.

The VR IMU uses the impressive BNO080 IMU. The IC features a three-axis accelerometer/gyroscope/magnetometer combination that runs alongside the ARM Cortex M0 + to run powerful algorithms. The BNO080 Inertial Measurement Unit (IMU) generates accurate rotation vector headings, ideal for VR and other heading applications, with a static rotation error of 2 degrees or less. This is what we've been waiting for: all the sensor data to be combined and drift corrected into meaningful, accurate IMU information.

The IC is designed to be implemented in Android-based phones to handle all the calculations required for virtual reality goggles using only your phone. The sensor is very powerful and the power is very complex. An I2C-based library is provided, which provides rotation vectors (which most people want to read from IMUs) as well as acceleration, gyroscope and magnetometer readings, step counts, activity sorters (such as cycling), and calibration.

The VR IMU has created a demo processing application to see how the motion of the IMU can accurately manipulate 3D objects using the quaternion output of the IMU.

If I2C is not your first communication choice, the sensors are also able to communicate via SPI and UART! If you are using UART, we recommend that you connect easily with Serial Basic.

This version features onboard 32kHz crystals for improved accuracy and more accurate timestamping.

Features

Interfaces:

The BNO080 can communicate through a variety of interfaces. The Qwiic VR IMU has two jumpers that allows the user to select their interface of choice.

I2C (Default): Up to 400kHz

SPI: Up to 3MHz

UART: 3Mbps

UART-RVC (Robot Vacuum Cleaners): 115200kbps

Performance Characteristics:

Rotation Vector

Dynamic Error: 3.5°

Static Error: 2.0°

Gaming Rotation Vector

Dynamic Error: 2.5°

Static Error: 1.5°

Heading Drift: 0.5° / min

Geomagnetic Rotation Vector

Dynamic Rotation Error: 4.5°

Static Rotation Error: 3.0°

Gravity Angle Error: 1.5°

Linear Acceleration Accuracy: 0.35m/s2

Accelerometer Accuracy: 0.3m/s2

Gyroscope Accuracy: 3.1° / sec

Magnetometer Accuracy: 1.4μT

Virtual reality is popular, but you shouldn't have to spend hundreds of dollars to get the technology behind it. Fortunately, this is where the VR IMU Breakout comes in. At its heart is CEVA's BNO086, a combined triaxial accelerometer/gyroscope/magnetometer package system (SiP) in 32-bit ARM©Cortex™M0+. The BNO086 Inertial Measurement Unit (IMU) produces accurate rotation vector headings, ideal for VR and other heading applications, with a static rotation error of 2 degrees or less. The VR IMU is exactly what we've been waiting for; All sensor data is merged and drift corrected into meaningful, accurate IMU information. It's perfect for any project that needs to sense direction or movement.

The IMU splitboard also comes with two I2C Qwiic connectors to make interfacing with the miniature QFN package a little easier. It's part of the Qwiic connection system, so you don't have to do any welding to figure out how things are oriented. However, if you prefer to use a breadboard, we still have 0.1 "spaced pins.

The BNO080 is designed to be used in Android-based phones and can handle all the calculations required for virtual reality glasses using only the phone. For BNO080 EOL, CEVA offers a plug-in alternative to BNO086 with enhanced features (14-bit accelerometer fusion, reduced idle state power and interactive calibration). The sensor is very powerful and comes with a complex interface. Thanks to the jumper on the board, you can choose between two different I2C addresses. Nevertheless, if I2C is not your preferred communication option, the sensors can communicate via SPI and UART! We have also written an I2C-based library that provides rotation vectors (the readings most people want from an IMU), acceleration, gyroscope and magnetometer readings, step counts, and activity classifiers (such as cycling).

It's an ecosystem of I2C sensors, actuators, shields, and cables that make prototyping faster and less error-prone. All QWIIC-enabled boards use the common 1mm pitch, 4-pin JST connector. This reduces the PCB space required, and the polarized connection means you can't hang it up wrong.

Operating voltage

2.4v to 3.6v

Usually 3.3V via Qwiic cable

I2C(default): up to 400kHz

SPI: up to 3MHz

UART: 3 mbps

Rotation vector

Dynamic error :3.5°

Static error :2.0°

Game rotation vector

Dynamic error :2.5°

Static error :1.5°