제품번호 #:
222675155
IMU AHRS Sensor Module BNO085 -BNO085 -BNO080 Nine- 9DOF High Accuracy for AR VR
제품번호 #:
222675155
KRW 52346
Price Details
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*All items will import from 영국
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지금 주문하시면 도착 예정일 수요일, 8월 19
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This is what we've been waiting for: all sensor data combined and drift-corrected into meaningful, accurate IMU information.
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What Stands Out
High Accuracy
The BNO085 sensor delivers exceptional accuracy for 9DOF tracking, ensuring precise orientation and motion capturing, ideal for augmented and virtual reality applications.
Integrated Processing
An embedded processor allows for real-time sensor fusion, simplifying development and reducing the need for external microcontrollers, streamlining designs for AR and VR systems.
Compact Design
The sensor's small form factor makes it easy to integrate into various devices, enhancing portability without sacrificing performance in advanced motion sensing applications.
제품 세부 정보
- The BNO085 provides application-specific configurations, functionalities, and performance within a small turnkey component, benefiting OEMs by reducing time-to-market, lowering development time and bill-of-materials () costs, and offering the highest level of accuracy and quality.
- Supply voltage:3.3V
- The BNO085 is a 9- System-in-Package (SiP) designed to accelerate the development of sensor-enabled augmented reality (AR), virtual reality (VR), robotics, and Internet of Things (IoT) devices. Jointly developed by and Hillcrest Labs, it features high-performance accelerometers, magnetometers, and gyroscopes integrated with a low-power 32-bit ARM -M0+ microcontroller in a compact package.
- Hillcrest's Sensor Hub software is pre-integrated on the BNO085, delivering excellent 9- and 6- motion tracking that enables exciting sensor applications across various consumer and IoT products.
- The VR IMU utilizes the impressive BNO085 IMU. This IC combines a triaxial accelerometer, gyroscope, and magnetometer along with an ARM -M0+ processor running powerful algorithms. The BNO085 Inertial Measurement Unit (IMU) generates precise rotation vectors, making it ideal for VR and other heading-related applications, with static rotational error of two degrees or less.
Product Technical Details
| Manufacturer | Yarryuter |
| Package Dimensions | 3 x 2 x 1 cm; 3 g |
| Guaranteed software updates until | unknown |
Who Should Buy?
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AR Developers
Ideal for augmented reality developers needing accurate motion tracking for immersive experiences and applications.
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Robotics Enthusiasts
Great for hobbyists or professionals working on robotics projects requiring precise orientation and movement data.
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Wearable Tech
Suitable for developers creating wearable devices that require high accuracy motion detection and data analysis.
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Casual Users
Not suitable for general consumers who may not need complex motion tracking capabilities in everyday tasks.
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Simple Projects
May be overkill for basic projects where lower precision sensors can meet functional requirements effectively.
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Budget-Conscious Makers
High accuracy comes at a price; those on a tight budget might find more cost-effective alternatives.
제품 설명
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고객 질문 및 답변
-
의문:
What does the sensor support in terms of communication?
답변: The sensor supports SPI and UART communication interfaces. -
의문:
What kind of data can I expect from the Yarryuter sensor?
답변: You can expect rotation vector data, accelerometer, gyroscope, magnetometer readings, and step counts. -
의문:
Is there a demo application available for this sensor?
답변: Yes, a demonstration application has been created to visualize IMU motion in 3D.
Yarryuter Editorial Review
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KRW 52346
지금 주문하시면 도착 예정일 수요일, 8월 19
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특징 및 장점
- Combines all sensor data for accurate IMU information.
- Designed for Android-based smartphones, enhancing VR headset capabilities.
- Offers extensive data output including rotation vectors and activity classification.
- Supports multiple communication interfaces: SPI and UART.
- Integrated with a 32-bit ARM-M0+ microcontroller for low power consumption.
- Delivers precise motion tracking for a variety of applications in AR, VR, and IoT.
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