Design Machine Learning and AI Level Augmented Reality Apps

Import Lightship augmented reality development kit assets into a fresh Unity project by dragging and dropping RDF files, sample packages, mock environments, and Lightship Hub to accelerate AR development.

Learn to configure plane detection in an AR project by adjusting the AR seed manager, plane-to-track settings, and Android permissions, then test horizontal or vertical planes and deploy.

Build the plane detection code in Unity 3D and test it on a mobile device, configuring iOS or Android build settings and essential camera, microphone, and location permissions.

Customize your AR app by swapping the default object with your own 3D model and textures. Import, rotate, and position at origin to test in a plane-detection scene.

Develop location-based augmented reality experiences directly in your unit editor. Visit the site only for the final build, replacing the traditional need to scan environments and on-site testing.

Create a new Unity 3D core project in Unity Hub, then set up the AR framework with the Lightship SDK and import essential libraries and Arctic samples.

Open Unity, access Lychee configuration, and paste the API key from the Lightship dashboard to set up the project; Lightship is configured, then proceed to scan.

Scan a real environment with your mobile device using the 90 Wayfarer app, generate a live mesh, upload to the cloud, and import the processed 3D model into Unity.

Create a custom Unity script to place a 3D bird on a detected hand, moving toward and rotating with hand position using vector3, distance, and smoothing.

Attach two scripts to the example manager and wire references in Unity inspector panel, set RC camera and air camera with 0.85 accuracy, and configure the position solver for build.

Demonstrate semantic segmentation in real time by overlaying textures on defined real-world channels, including greenery such as grass, trees, and bushes, via a live video feed.

Explore semantic segmentation in Lightship templates by using the segmentation controller script in the air controller; assign textures to channels like sky, water, building, and foliage, and add custom channels.

Extend the template to detect more objects in AR by adding a tv channel with a new texture, enable semantic segmentation, keep png textures under 256, then build in Unity.

Explore plane detection, semantic segmentation in AR, and advanced AR usages like hand detection, and learn to apply these features with your graphics, and stay updated with new feature releases.