Bundle details
What's included
AR and AI for healthcare
Develop advanced medical solutions
With the NVIDIA IGX + Magic Leap 2 XR Bundle, devs can get right to work creating next-gen medical solutions thanks to out-of-the-box interoperability in the Holoscan SDK. Devs can leverage Magic Leap 2 sensor data to create AI-optimized augmented reality visualizations. With Holoscan, devs can integrate blocks of MONAI machine learning code into apps for pre-op planning, intraoperative guidance, digital therapeutics, and more. With IGX, clinicians can run AR apps at the edge.
AR and AI for manufacturing
AI-powered AR apps for manufacturing
The combination of Magic Leap 2, NVIDIA IGX, and NVIDIA SDKs creates a powerful platform ideal for the development of AI-driven apps tailored to the manufacturing industry. The varied camera and sensor array on Magic Leap 2 provides an ideal source of data streams for devs to tap into, with customizable configurations that allow them to capture the key data they need, then visualize and interact with the complex datasets that result. Pioneering devs are already using it to create AI-powered reactive and proactive safety systems that help ensure worker safety and reduce avoidable downtime. It can also be used to create apps tailored to active workflows on the factory floor, displaying IoT data insights within an employee's field of view, turning the entire factory into an AR-powered interactive space.
AI-ready AR
OpenXR-compatible remote rendering
Magic Leap 2 offers remote rendering capabilities through OpenXR1, which provides a common set of APIs for developing XR applications that work across a range of devices. The server-side OpenXR remote rendering runtime leverages NVIDIA GPU acceleration to composite and encode the stereo images, which are then transmitted over the network and displayed on Magic Leap 2.
OpenXR-based sensor data access
Sensor Data Access allows Magic Leap 2 developers to access its array of cameras and sensors, configuring them as needed to gather specific data. These robust data streams can then be leveraged into the creation of new algorithms and applications. With Sensor Data Access developers can tap into data streams from the RGB camera, world cameras, depth sensor, eye camera, IMUs, magnetometers, ambient light sensors, altimeters, and microphones onboard Magic Leap 2.
Multi-user mode
Multi-user interaction allows multiple people to view the same AR content at the same time while using separate Magic Leap 2 devices. Each device can be localized into Omniverse using mapped features that enable rendered AR elements to be anchored to a shared environment, allowing each Magic Leap 2 user to view and interact with the same AR content.
OpenXR-compatible remote rendering
Magic Leap 2 offers remote rendering capabilities through OpenXR1, which provides a common set of APIs for developing XR applications that work across a range of devices. The server-side OpenXR remote rendering runtime leverages NVIDIA GPU acceleration to composite and encode the stereo images, which are then transmitted over the network and displayed on Magic Leap 2.
OpenXR-based sensor data access
Sensor Data Access allows Magic Leap 2 developers to access its array of cameras and sensors, configuring them as needed to gather specific data. These robust data streams can then be leveraged into the creation of new algorithms and applications. With Sensor Data Access developers can tap into data streams from the RGB camera, world cameras, depth sensor, eye camera, IMUs, magnetometers, ambient light sensors, altimeters, and microphones onboard Magic Leap 2.
Multi-user mode
Multi-user interaction allows multiple people to view the same AR content at the same time while using separate Magic Leap 2 devices. Each device can be localized into Omniverse using mapped features that enable rendered AR elements to be anchored to a shared environment, allowing each Magic Leap 2 user to view and interact with the same AR content.
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