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Quantum Precision XR by Manus - Highly accurate and reliable finger capturing

Original price $ 5,499.00 - Original price $ 5,499.00
Original price
$ 5,499.00
$ 5,499.00 - $ 5,499.00
Current price $ 5,499.00
Ships within 10-15 days
Overview

The Quantum Precision XR provides high-fidelity finger tracking by using drift-free fingertip tracking sensors. With the focus on highly accurate and reliable finger capture data, there are no more limitations to your finger capture. Experience accuracy in VR like never before.

Fingertip precision for VR Training.
Accurately interact with objects in virtual worlds to create immersive virtual training environments and experiences. The accurate Quantum Tracking technology combined with a realistic virtual environment will create experiences suited for highly accurate training simulations.

Detailed Interaction for Virtual Prototyping
Accurately interact with even the smallest parts and pieces of your virtual prototypes. With the accurate hand scaling of the MANUS Quantum Precision XR, human interaction validation is possible on a scale more accurate than ever before.

Natural movements are captured effortlessly
Capture even the smallest details. The Quantum Tracking Technology allows you to capture even the most subtle nuances of human motion and bring them to life digitally. In this side-by-side comparison, you can see how lifelike the unedited motion capture data from our Quantum Metagloves is. Download unedited sample data by clicking the button below the video and experience the next level of finger capture.

Specs

Signal latency: <7.5ms
Finger sensor type: Absolute position, 3-axis rotation
Sensor sample rate: 120Hz
Battery duration: Up to 3 hours (swappable batteries)
Charging type: 2 hours USB Type-C
Weight: 138 grams (including battery)
Wired communication: USB Type-C
Wireless communication: Bluetooth Low Energy 5
Wireless range: Up to 15 meters
Supported operating system: Windows 10/11
Finger attachments: Liner Gloves, Silicon Finger Caps
Textile information: One size fits all

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