I am working on an app that will allow a user to load and share their model files (usdz, usda, usdc). I'm looking at security options to prevent bad actors. Are there security or validation methods built into ARKit/RealityKit/CloudKit when loading models or saving them on the cloud? I want to ensure no one can inject any sort of exploit through these file types.

At a recent community meeting we were wondering how Apple creates this soft-edge effect around the occlusion cutouts. We see this effect on keyboard cutouts, iPhone cutouts, and in progressive spaces. An example: Notice the soft edged around the occlusion cutout for the keyboard One of our members created some Shader Graph materials to explore soft edges. These work by sending data into the opacity channel of the PreviewSurface node. Unfortunately, the Occlusion Surface nodes lack any sort of input. If you know how to blend these concepts with RealityKit Occlusion, please let us know!

I am trying to loop my videoMaterial. I have researched the AXQueuePlayer and AVPlayerLooper and tried to implement them into my code. Please see attached. There are no errors showing up but the videoMaterial is no longer working. Please see the attached for the working code that plays the videoMaterial. I am stumped can anyone help me solve this? Thank you.

I am experience problem with three iPhone 13 Pro. They are reporting the lowest quality for all points in the depthmap from the Lidar sensor. The readings I get are unusable. If it was just one phone I would consider it a faulty sensor, but in this case it is three phones that gives the same result. I have other iPhone 13 Pro that works as expected. Have any else experienced a similar behavior? I am using iOS 18.4.1 https://developer.apple.com/documentation/avfoundation/avdepthdata/depthdataquality

We have successfully obtained the permissions for "Main Camera access" and "Passthrough in screen capture" from Apple. Currently, the video streams we have received are from the physical world and do not include the digital world. How can we obtain video streams from both the physical and digital worlds? thank you!

I want to display a huge image in RealityView in 3d space on Vision Pro. of course instead of one giant file I'm using a lot of big images. to achieve this, I'm generating multiple planes exactly beside each others and put each image on them. although the planes are exactly beside each others but there is still a white gap between them.(image below) **Does anybody know how to fix this issue? **

I am using ARKit to detect image in visionPro. However I met some question about adding the reference image. Some of my images can not be added correctly sometimes. (As you can see in the picture above, the 'orange' can not be added correctly, but the 'cup' can). However, sometimes they will be added without any problem. I do not know why it will happen. And I want they all be added steadily.

Hello, There are odd artifacts (one looks like an image placeholder) appearing when dismissing an immersive space which is displaying an ImagePresentationComponent. Both artifacts look like widgets.. See below our simple code displaying the ImagePresentationComponent and the images of the odd artifacts that appear briefly when dismissing the immersive space. import OSLog import RealityKit import SwiftUI struct ImmersiveImageView: View { let logger = Logger(subsystem: AppConstant.SUBSYSTEM, category: "ImmersiveImageView") @Environment(AppModel.self) private var appModel var body: some View { RealityView { content in if let currentMedia = appModel.currentMedia, var imagePresentationComponent = currentMedia.imagePresentationComponent { let imagePresentationComponentEntity = Entity() switch currentMedia.type { case .iphoneSpatialMovie: logger.info("\(#function) \(#line) spatial3DImmersive display for \(String(describing: currentMedia))") imagePresentationComponent.desiredViewingMode = .spatial3DImmersive case .twoD: logger.info("\(#function) \(#line) spatial3DImmersive display for \(String(describing: currentMedia))") imagePresentationComponent.desiredViewingMode = .spatial3DImmersive case .visionProConvertedSpatialPhoto: logger.info("\(#function) \(#line) spatialStereoImmersive display for \(String(describing: currentMedia))") imagePresentationComponent.desiredViewingMode = .spatialStereoImmersive default : logger.error("\(#function) \(#line) Unsupported media type \(currentMedia.type)") assertionFailure("Unsupported media type \(currentMedia.type)") } imagePresentationComponentEntity.components.set(imagePresentationComponent) imagePresentationComponentEntity.position = AppConstant.Position.spacialImagePosition content.add(imagePresentationComponentEntity) } let toggleViewAttachmentComponent = ViewAttachmentComponent(rootView: ToggleImmersiveSpaceButton()) let toggleViewAttachmentComponentEntity = Entity(components: toggleViewAttachmentComponent) toggleViewAttachmentComponentEntity.position = SIMD3<Float>( AppConstant.Position.spacialImagePosition.x + 1, AppConstant.Position.spacialImagePosition.y, AppConstant.Position.spacialImagePosition.z ) toggleViewAttachmentComponentEntity.scale = AppConstant.Scale.attachments content.add(toggleViewAttachmentComponentEntity) } } }

具体表现为：在Unity编辑器中材质显示正常，但部署到Vision Pro真机后部分材质丢失或Shader效果异常（如透明通道失效、光照计算错误等）。此问题影响了开发进度，希望得到技术支持的帮助 Specific results: The materials are displayed normally in the Unity editor, but after being deployed to the Vision Pro real machine, some materials are lost or the Shader effect is abnormal (such as transparent channel failure, antenna calculation error, etc.). This problem has affected the development progress, and I hope to get help from technical support

Environment Versions ・macOS15.6.1 ・visionOS26.0.1 ・Xcode16.1 or 26.0.1 ・unity6000.2.9f1 ・Apple.core3.2.0 ・Apple.PHASE1.2.7 ・polyspatial2.4.2 With the above environment, after installing Apple.PHASE into unity and building to a visionOS device, Audio is available and distance attention works, but Early Reflection and Late Reverb produce no audible change even when checked and their parameters are adjusted. What is required to make Early Reflection and Late Reverb take effect on a visionOS device build? action taken ・created a SoundEvent. ・in composer, created a Sampler and a SpatialMixer; attached an AudioClip to the Sampler; enabled Direct Path, Early Reflection, and Late Reverb on the SpatialMixer. ・attached a PHASE Source to the object to be played, attached the created SoundEvent to it, and set non-zero values for Early Reflection and Late Reverb. ・attached a PHASE Listener to the mainCamera and set the ReverbPreset to a value other than None. ・in project settings > Audio, set Spatializer plugin to PHASE Spatializer. ・from there, build for visionOS.

When assigning a ManipulationComponent to an Entity SceneEvents.WillRemoveEntity will be called for that Entity. Expected Behavior: the Entity is not (even if temporarily) removed from the Scene and no SceneEvents will be triggered as a result of assigning a ManipulationComponent. FB20872220

I believe I have created a videoMaterial and assigned it to a mesh with code I found in the Developer's Documentation but Im getting this error. "Trailing closure passed to parameter of type 'String' that does not accept a closure" I have attached a photo of the code and where the error happens. Any help will greatly be appreciated.

Hello Community, I’m currently working with the sample code “CapturingDepthUsingTheLiDARCamera” and using it to capture the depth map of an image taken with the iPhone 14 Pro. From this depth map, I generate a point cloud using the intrinsic camera parameters. I've noticed that objects not facing the camera directly appear distorted in the resulting point cloud. For example: An object with surfaces that are perpendicular to each other appears with a sharper angle in the point cloud — around 60° instead of 90°. My question is: Is this due to the general accuracy limitations of the LiDAR sensor? Or could it be related to the sample code? To obtain the depth map, I’m using: AVCapturePhoto.depthData.converting(toDepthDataType: kCVPixelFormatType_DepthFloat32) Thanks in advance for your help!

Hello, I'm developing a visionOS application for Apple Vision Pro that aims to scan unknown physical objects, capture their 3D data (such as meshes or point clouds), and export them as 3D models. Ideally, I'd also like to visualize these reconstructions in real-time within the headset. This functionality is similar to what's available in Reality Composer on iPad and iPhone, but I'm seeking to implement it natively on Vision Pro. I've reviewed the visionOS documentation but haven't found clear guidance on accessing LiDAR depth data or performing scene reconstruction. Specifically, I'm interested in: 1.Accessing LiDAR or depth data from Vision Pro's sensors. 2.Utilizing ARKit's scene reconstruction capabilities on visionOS. 3.Exporting captured 3D data as models (e.g., USDZ or OBJ formats). Are there APIs or frameworks in visionOS that support these features?

Currently I am using mixed style immersive view to place both my WindowView(plain style) and ImmersiveView content together. The issue is that the rendering depth testing may always let the virtual content block my normal WindowView. Is it possible to manually set windowedVIew always displays in the front of my virtual view in mixed style immersion? (I know modelSortGroup but it doesn't quite fits here) Or if I can dynamically change the .progressive value when the immersive space is open (set the value to zero means .mixed itself right?)

Hi Apple Developer Community, I'm developing an eye-tracking application using ARKit's ARFaceTrackingConfiguration and ARFaceAnchor.blendShapes for gaze detection using Xcode. I'm experiencing several calibration and accuracy issues and would appreciate insights from the community. Current Implementation Using ARFaceAnchor.blendShapes (.eyeLookUpLeft, .eyeLookDownLeft, .eyeLookInLeft, .eyeLookOutLeft, etc.) Implementing custom sensitivity curves and smoothing algorithms Applying baseline correction and coordinate mapping Using quadratic regression for calibration point mapping Issues I'm Facing 1. Calibration Mismatch Red dot position doesn't align with where I'm actually looking Significant offset between intended gaze point and actual cursor position Calibration seems to drift or become inaccurate over time 2. Extreme Eye Movement Requirements Need to make exaggerated eye movements to reach screen edges/corners Natural eye movements don't translate to proportional cursor movement Difficulty reaching certain screen regions even with calibration 3. Sensitivity and Stability Issues Cursor jitters or jumps around when looking at center Too much sensitivity to micro-movements Inconsistent behavior between calibration and normal operation 4. I also noticed that tracking on calibration screen as well as tracking on reading screen works better as expected when head movement is there, but I do not want much head movement. I want tracking with normal eye movement while reading an Ebook. Primary Question: Word-Level Eye Tracking Feasibility Is word-level eye tracking (tracking gaze as users read through individual words in an ebook) technically feasible with current iPhone/iPad hardware? I understand that Apple's built-in eye tracking is primarily an accessibility feature for UI navigation. However, I'm wondering if the TrueDepth camera and ARKit's eye tracking capabilities are sufficient for: Tracking natural reading patterns (left-to-right, line-by-line progression) Detecting which specific words a user is looking at Maintaining accuracy for sustained reading sessions (15-30 minutes) Working reliably across different users and lighting conditions Questions for the Community Hardware Limitations: Are iPhone/iPad TrueDepth cameras capable of the precision needed for word-level tracking, or is this beyond current hardware capabilities? Calibration Best Practices: What calibration strategies have worked best for accurate gaze mapping? How many calibration points are typically needed? Reading-Specific Challenges: Are there particular challenges when tracking reading behavior vs. general gaze tracking? Alternative Approaches: Are there better approaches than ARKit blend shapes for this use case? Current Setup Devices: iPhone 14 Pro iOS Version: iOS 18.3 ARKit Version: Latest available Any insights, experiences, or technical guidance would be greatly appreciated. I'm particularly interested in hearing from developers who have worked on similar eye tracking applications or have experience with the limitations and capabilities of ARKit's eye tracking features. Thank you for your time and expertise!

Wondering if this is even possible without using CVImageBuffer and passing each frame as an image which I imagine will be very expensive. Have a PoC of a shader graph that applies a radial zoom effect to an image. In RealityKit I'm passing the image as a resource: if let textureResource = try? await TextureResource(named: "fuji") { let value = MaterialParameters.Value.textureResource(textureResource) try? material.setParameter(name: "MyImage", value: value) model.model?.materials = [material] } Thanks in advance

Hi, I'm trying to place an object in front of AVPlayer that is docked in VideoDockingRegion, but when launched in immersive space, the video passes through the objects placed in front of. How do I make sure these objects are visible? image for reference

I like to compose an APN message. (using FCM) what shall I do for it?

I've encountered an unexpected crash with RoomPlan on iOS 16 devices. The odd part is the code is protected by an available check, since I'm using newer RoomPlan features. Xcode error dyld[40588]: Symbol not found: _$s8RoomPlan08CapturedA0V16USDExportOptionsV5modelAEvgZ I can repro using the Apple sample code. https://developer.apple.com/documentation/roomplan/create-a-3d-model-of-an-interior-room-by-guiding-the-user-through-an-ar-experience Modify RoomCaptureViewController.swift as follows. Remove try finalResults?.export(to: destinationURL, exportOptions: .parametric) Add if #available(iOS 17.0, *) { try finalResults?.export(to: destinationURL, exportOptions: .model) } else { try finalResults?.export(to: destinationURL, exportOptions: .parametric) } I would have expected this code to at least compile and run on older devices. When the app was targeting iOS 15, the available checks worked as expected and the app is able to launch properly.