I have a question I guess more for the Apple team. But why are there no totally 3D experiences for the Vision Pro lineup? I know they have given us tools to implement unity 3D games into iPhone and I guess you can also build it in RealityKit. But why at this moment are 3D games limited to just iPad and iPhone and can't you bring that into Vision Pro? Just to explain. When I say a totally 3D game, I mean games like Gorn. I mean the Vision Pro is definitely powerful enough, but it just feels limited to tabletop games and AR games. Is this something Apple is thinking about implementing?

I use ARKit for motion tracking. I get the skeleton joint coordinates and use them for animation. I didn't make any changes to the code, but I updated the iOS version from 18 to 26, and modelTransform now always returns nil. https://developer.apple.com/documentation/arkit/arskeleton3d/modeltransform(for:) For example bodyAnchor.skeleton.modelTransform(for: .init(rawValue: "head_joint")) bodyAnchor is ARBodyAnchor. I see the default skeleton on the screen, but now I can't get the coordinates out of it. I'm using an example from Apple's WWDC presentation. https://developer.apple.com/documentation/arkit/capturing-body-motion-in-3d Are there any changes in the API? Or just bug?

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!

Hi, We’ve been successfully using the RoomPlan API in our application for over two years. Recently, however, users have reported encountering persistent capture errors during their sessions. Specifically, the errors observed are: CaptureError.worldTrackingFailure CaptureError.exceedSceneSizeLimit What we have observed: Persistent Errors: The errors continue to occur even after initiating new capture sessions. Normal Usage: Our implementation adheres to typical usage patterns of the RoomPlan API without exceeding any documented room size limits. Limited Feature Usage: We are not utilizing the WorldTracking feature for the StructureBuilder functionality to stitch rooms together. Potential State Caching: Given that these errors persist across sessions, we suspect that there might be memory or state cached between sessions that is not being cleared, particularly since we are not taking advantage of StructureBuilder. Request: Could you please advise if there is any internal caching or memory retention between capture sessions that might lead to these errors? Additionally, we would appreciate guidance on how to clear or manage this state when the StructureBuilder feature is not in use. Here is a generalised version of our capture session initialization code to help diagnose the issue. struct RoomARCaptureView: UIViewRepresentable { typealias Handler = (CapturedRoom, Error?) -> Void @Binding var stop: Bool @Binding var done: Bool let completion: Handler? func makeUIView(context: Self.Context) -> RoomCaptureView { let view = RoomCaptureView(frame: .zero) view.delegate = context.coordinator view.captureSession.run(configuration: .init()) return view } func updateUIView(_ uiView: RoomCaptureView, context: Self.Context) { if stop { // Stop the session only once, multiple times causes issues with the final presentation uiView.captureSession.stop() stop = false done = true } } static func dismantleUIView(_ uiView: RoomCaptureView, coordinator: Self.Coordinator) { uiView.captureSession.stop() } func makeCoordinator() -> ARViewCoordinator { ARViewCoordinator(completion) } @objc(ARViewCoordinator) class ARViewCoordinator: NSObject, RoomCaptureViewDelegate { var completion: Handler? public required init?(coder: NSCoder) {} public func encode(with coder: NSCoder) {} public init(_ completion: Handler?) { super.init() self.completion = completion } public func captureView(shouldPresent roomDataForProcessing: CapturedRoomData, error: (Error)?) -> Bool { return true } public func captureView(didPresent processedResult: CapturedRoom, error: (Error)?) { completion?(processedResult, error) } } } Thank you for your assistance.

Error: RoomCaptureSession.CaptureError.exceedSceneSizeLimit Apple Documentation Explanation: An error that indicates when the scene size grows past the framework’s limitations. Issue: This error is popping up in my iPhone 14 Pro (128 GB) after a few roomplan scans are done. This error shows up even if the room size is small. It occurs immediately after I start the RoomCaptureSession after the relocalisation of previous AR session (in world tracking configuration). I am having trouble understanding exactly why this error shows and how to debug/solve it. Does anyone have any idea on how to approach to this issue?

Hello Apple team, I'm working on an iOS AR app using SwiftUI and RealityKit, and I was wondering if the Cinematic API can be used with a RealityKit scene. I’d like to achieve a shallow depth of field while keeping the 3D asset in focus, and vice versa. Thanks!

Hi, I am in the process of implementing SharePlay into our app. The shared experience opens an Immersive Space and we set systemCoordinator.configuration.supportsGroupImmersiveSpace = true Now visionOS establishes a shared coordinate space for the immersive space. From the docs: To achieve consistent positioning of RealityKit entities across multiple devices in an immersive space during a SharePlay session There are cases where we want to position content in front of the user (independent of the shared session, and for each user individually). Normally to do that we use the transform retrieved via worldTrackingProvider.queryDeviceAnchor.originFromAnchorTransform to position content in front of the user (plus some Z Offset and smooth interpolation). This works fine in non-SharePlay instances and the device transform is where I would expect it to be but during the FaceTime call deviceAnchor.originFromAnchorTransform seems to use the shared origin of the immersive space and then I end up with a transform that might be offset. Here is a video of the issue in action: https://streamable.com/205r2p The blue rect is place using AnchorEntity(.head, trackingMode: .continuous). This works regardless of the call and the entity is always placed based on the head position. The green rect is adjusted on every frame using the transform I get from worldTrackingProvider.queryDeviceAnchor. As you can see it's offset. Is there any way I can query query this transform locally for the user during a FaceTime call? Also I would like to know if it's possible to disable this automatic entity transform syncing behavior? Setting entity.synchronization = nil results in the entity not showing up at all. https://developer.apple.com/documentation/realitykit/synchronizationcomponent Is SynchronizationComponent only relevant for the legacy MultiPeerConnectivity approach? Thank you!

I am using Xcode 16 to test ARGeoTracking in India with a recorded session from the U.S. (where ARGeotracking is supported), the app remains stuck at "Attaching to App" on my iPad. I've tried two different methods to include the AR session video: placing it in the project folder and adding it to the Shared folder, but neither has resolved the issue.

Hi, I’m trying to configure camera feed in ARKit to be in Apple Log color space. I can change Capture Device’s format to one that has Apple Log and I see one frame being in proper log-gray colors but then all AR tracking stops and tracking state hangs at “initializing”. In other combinations I see error “sensor failed to initialize” and session restarts with default format. I suspect that this is because normal AR capture formats are 420f, whereas ones that have Apple Log are 422. Could someone confirm if it’s even possible to run ARKit session with camera feed in a different pixel format? I’m trying it on iphone 15 pro

A bit of background on what our app is doing: We have a RealityKit ARView session running. During this period we place objects in RealityKit. At some point user can "take photo" and we use session.captureHighResolutionFrame to capture a frame. We then use captured frame and frame.camera.projectPoint to project my objects back to 2D Issue we found is that on devices that have iOS26, first photo user takes and the first frame received from session.captureHighResolutionFrame gives incorrect CGPoint for frame.camera.projectPoint. If user takes the second photo with the same camera phostion, second frame received from session.captureHighResolutionFrame gives correct CGPoint for frame.camera.projectPoint I notices some difference between first and subsequent frames that i believe is corresponding with the issue. Yaw value of camera (frame.camera.eulerAngles.y) on first frame is not correct ( inconsistent with any subsequent frame) I also created a small example app and i followed Building an Immersive Experience with RealityKit example to create it. The issue exists in this app for iOS26, while iOS18.* has consistent values between first and subsequent captured frames. Note: The yaw value seems to differ more if we start session in portrait but take photo in landscape. Example result for 3 captured frames: Frame captured with yaw: 1.4855177402496338 Frame captured with yaw: -0.08803760260343552 Frame captured with yaw: -0.08179682493209839 Example code: class CustomARView: ARView, ARSessionDelegate { required init(frame: CGRect) { super.init(frame: frame) } required init?(coder decoder: NSCoder) { fatalError("init(coder:) has not been implemented")} func setup() { let singleTap = UITapGestureRecognizer(target: self, action: #selector(handleTap)) addGestureRecognizer(singleTap) } @objc func handleTap(_ gestureRecognizer: UIGestureRecognizer) { Task { do { let frame = try await session.captureHighResolutionFrame() print("Frame captured with yaw: \(Double(frame.camera.eulerAngles.y))") } catch { } } } } struct CustomARViewUIViewRepresentable: UIViewRepresentable { func makeUIView(context: Context) -> some UIView { let arView = CustomARView(frame: .zero) arView.setup() return arView } func updateUIView(_ uiView: UIViewType, context: Context) { } } struct ContentView: View { var body: some View { CustomARViewUIViewRepresentable() .frame(maxWidth: .infinity, maxHeight: .infinity) .ignoresSafeArea() } }

Hello, I'm trying to use Xcode's ARKit Session replay functionality. I have a capture I made using Reality Composer and when trying to use it with Xcode's replay functionality the installation and debugging process seems stalled forever. I've gotten it to work once so I know the capture file is functional but I have never gotten it to work a second time, even though I didn't change any settings. No amount of restarting Xcode, the Mac, or the iPhone seem to work. I have also tried cleaning build folders, reinstalling the app, and clearing DerivedData. I can confirm from the Xcode logs that the app installs correctly but the app never launches. If I unselect the checkbox for "ARKit Replay Data", the app launches and debugs nearly instantly. I have tried letting it "attach" for up to 10 minutes to no avail.

Basically, take just the Xcode 26 AR App template, where we put the ContentView as the detail end of a NavigationStack. Opening app, the app uses < 20MB of memory. Tapping on Open AR the memory usage goes up to ~700MB for the AR Scene. Tapping back, the memory stays up at ~700MB. Checking with Debug memory graph I can still see all the RealityKit classes in the memory, like ARView, ARRenderView, ARSessionManager. Here's the sample app to illustrate the issue. PS: To keep memory pressure on the system low, there should be a way of freeing all the memory the AR uses for apps that only occasionally show AR scenes.

Hello, I'm currently trying to make a collaborative app. But it just works only on Reality View, when I tried to use Compositor Layer like below, the personas disappeared. ImmersiveSpace(id: "ImmersiveSpace-Metal") { CompositorLayer(configuration: MetalLayerConfiguration()) { layerRenderer in SpatialRenderer_InitAndRun(layerRenderer) } } Is there any potential solution too see Personas in Metal view? Thanks in advance!

Hello Community, I'm encountering an issue with the latest iOS 17 update, specifically related to RoomPlan version-2. In iOS 16, when using RoomPlan version-1, we were able to display stairs in our app. However, after upgrading to iOS 17 and implementing RoomPlan version-2, the stairs are no longer visible. Despite thorough investigation, I couldn't find any option within the code to show or hide stairs, or any other objects for that matter. It seems like a specific issue with the update rather than a coding error on our part. Has anyone else encountered a similar problem? If so, I would greatly appreciate any insights or solutions you might have. It's crucial for our app functionality to have stairs displayed accurately, and we're currently at a loss on how to address this issue. Thank you in advance for any assistance you can provide. Best regards

I tested the accuracy of the depth map on iPhone 12, 13, 14, 15, and 16, and found that the variance of the depth map after iPhone 12 is significantly greater than that of iPhone 12. Enabling depth filtering will cause the depth data to be affected by the previous frame, adding more unnecessary noise, especially when the phone is moving. This is not friendly for high-precision reconstruction. I tried to add depth map smoothing in post-processing to solve the problem of large depth map deviation, but the performance is still poor. Is there any depth map smoothing solutions already announced by Apple?

Hello, Does anyone have a recipe on how to raycast VNFaceLandmarkRegion2D points obtained from a frame's capturedImage? More specifically, how to construct the "from" parameter of the frame's raycastQuery from a VNFaceLandmarkRegion2D point? Do the points need to be flipped vertically? Is there any other transformation that needs to be performed on the points prior to passing them to raycastQuery?

I have a problem with the wall plane detection using visionOS/ARKit: I am using ARKitSession's PlaneDetectionProvider detection.wall in the space of visionOS. I recorded the position and rotation information of the first detected plane, but found that the rotation value will be facing when the user starts the space. There is a deviation in different directions. That is to say, even if the plane is located on the same wall, the rotation quaternion will be different. I hope that no matter from which direction the user enters the scan, the real direction of the wall can be correctly obtained so that the virtual content can be accurately aligned with the wall. I have tried to use anchor.originFromAnchorTransform or Transform.rotation directly, but the rotation value is still affected by the user's initial orientation. In addition, I would like to know whether the user's initial orientation will affect the location information. If so, please provide a solution. Thank you!

The AR based app I am working on right now is experiencing an issue. Sometimes, the AR session fails with a call to my ARSessionObserver's session(_ session: ARSession, didFailWithError error: Error) with the following error: Error Domain=com.apple.arkit.error Code=102 "Required sensor failed." NSLocalizedFailureReason="A sensor failed to deliver the required input.," NSLocalizedRecoverySuggestion="Make sure that the application has the required privacy settings." The underlying error seems to point to the CoreMotion framework: Domain=CMErrorDomain Code=102 "(null) Some people seem to have experienced this issue and solved it by making sure that the Compass Calibration switch is ON in Settings > Privacy > Location Services > System Services. For context, the ARWorldTrackingConfiguration.worldAlignment is set to .gravity The thing is it is already ON when I experience this issue. I also noticed that this issue happens way more often on the iPhone 16e than in any other device. Has anyone had similar experiences? I am looking for a way to prevent this error from happening (ideally) or handling in a way that does not affect the user. Any help is appreciated

In a simple test, I'm observing ~30% higher CPU usage with the ARWorldTrackingConfiguration compared to the ARBodyTrackingConfiguration when both configurations have AREnvironmentTexturing enabled. In Instruments, I observe Recon3D consuming ~5.5 seconds of CPU time with the ARWorldTrackingConfiguration vs <0.3 second with the ARBodyTrackingConfiguration in two separate 30 seconds samples. This is on an iPhone 12 Pro equipped with lidar. Is there a reason why two separate configurations, both having the same features enabled would have a different CPU overhead?

RealityKit spatial audio crackles and pops on iOS 26.0 beta 5. It works correctly on iOS 18.6 and visionOS 26.0 beta 5. The APIs used are AudioPlaybackController, Entity.prepareAudio, Entity.play Videos of the expected and observed behavior are attached to the feedback FB19423059. The audio should be a consistent, repeating sound, but it seems oddly abbreviated and the volume varies unexpectedly. Thank you for investigating this issue.