Hi there I'm using Reality Composer Pro to anchor virtual content to a .referenceobject. However by moving the referenceobject quickly, it causes tracking to stop. (I know this is a limitation so im trying to make it a feature) IS there a way to play a USDZ animation at the last known location, after detecting that reference object is no longer being tracked? is it possible to set this up in Reality Composer pro? Nearly everything is set up in Reality Composer pro with my immersive.scene just anchoring virtual content to the Reference object in the RCP Scene, so my immersive view just does this - if let immersiveContentEntity = try? await Entity(named: "Immersive", in: realityKitContentBundle) { content.add(immersiveContentEntity) & this .onAppear { appModel.immersiveSpaceState = .open } .onDisappear { appModel.immersiveSpaceState = .closed } I have tried Using SpatialTracking & WorldTrackProvider, but I'm still quite new to Swift and coding in general so im unsure how to implement in conjunction with my RCP scene and if this is actually the right way to do it. Apologies for my lack of knowledge.

First, I scan first room using the roomplan api. Because I need scan second room, I stop it by “captureSession.stop(pauseARSession: false)”, I think the Arsession is continue work at that time. Second, before the another room will scan, I want to run another ARView. (in order to detect some objects which are not detected by Roomplan in first room) But, at this time, the second ARView(there is an ARView in roomplan, I think) will always black screen, can’t normally work. This is the question I want to resolve. Please help me let the second ARView go well.

After implementing the method of obtaining video streams discussed at WWDC in the program, I found that the obtained video stream does not include digital models in the digital space or related videos such as the program UI. I would like to ask how to obtain a video stream or frame that contains only the physical world? let formats = CameraVideoFormat.supportedVideoFormats(for: .main, cameraPositions:[.left]) let cameraFrameProvider = CameraFrameProvider() var arKitSession = ARKitSession() var pixelBuffer: CVPixelBuffer? var cameraAccessStatus = ARKitSession.AuthorizationStatus.notDetermined let worldTracking = WorldTrackingProvider() func requestWorldSensingCameraAccess() async { let authorizationResult = await arKitSession.requestAuthorization(for: [.cameraAccess]) cameraAccessStatus = authorizationResult[.cameraAccess]! } func queryAuthorizationCameraAccess() async{ let authorizationResult = await arKitSession.queryAuthorization(for: [.cameraAccess]) cameraAccessStatus = authorizationResult[.cameraAccess]! } func monitorSessionEvents() async { for await event in arKitSession.events { switch event { case .dataProviderStateChanged(_, let newState, let error): switch newState { case .initialized: break case .running: break case .paused: break case .stopped: if let error { print("An error occurred: \(error)") } @unknown default: break } case .authorizationChanged(let type, let status): print("Authorization type \(type) changed to \(status)") default: print("An unknown event occured \(event)") } } } @MainActor func processWorldAnchorUpdates() async { for await anchorUpdate in worldTracking.anchorUpdates { switch anchorUpdate.event { case .added: //检查是否有持久化对象附加到此添加的锚点- //它可能是该应用程序之前运行的一个世界锚。 //ARKit显示与此应用程序相关的所有世界锚点 //当世界跟踪提供程序启动时。 fallthrough case .updated: //使放置的对象的位置与其对应的对象保持同步 //世界锚点，如果未跟踪锚点，则隐藏对象。 break case .removed: //如果删除了相应的世界定位点，则删除已放置的对象。 break } } } func arkitRun() async{ do { try await arKitSession.run([cameraFrameProvider,worldTracking]) } catch { return } } @MainActor func processDeviceAnchorUpdates() async { await run(function: self.cameraFrameUpdatesBuffer, withFrequency: 90) } @MainActor func cameraFrameUpdatesBuffer() async{ guard let cameraFrameUpdates = cameraFrameProvider.cameraFrameUpdates(for: formats[0]),let cameraFrameUpdates1 = cameraFrameProvider.cameraFrameUpdates(for: formats[1]) else { return } for await cameraFrame in cameraFrameUpdates { guard let mainCameraSample = cameraFrame.sample(for: .left) else { continue } self.pixelBuffer = mainCameraSample.pixelBuffer } for await cameraFrame in cameraFrameUpdates1 { guard let mainCameraSample = cameraFrame.sample(for: .left) else { continue } if self.pixelBuffer != nil { self.pixelBuffer = mergeTwoFrames(frame1: self.pixelBuffer!, frame2: mainCameraSample.pixelBuffer, outputSize: CGSize(width: 1920, height: 1080)) } } }

Hi, I would like to train Gaussian splats from my object captures. So I need a pointcloud and camera positions together with the original photos taken to train GS In an app like postShot. I could do this with Reality Capture, which supports exporting pointclouds and camera position but it does not do well with turntable photogrammetry. While the Apple object capture API does produce really solid results with turntable images. so my question is, can I export camera data from my object captures to use in another application? Or is there may be a plan to at this feature in the future? It would be really helpful in creating ultra realistic, 3-D objects in Gaussian splat format. Thanks for any isuggestions…

Dear Apple Engineers, I am working on a project in visionOS and need to implement a curved surface effect for video playback, where the width of the surface can be dynamically adjusted. Specifically, I want the video to be displayed on a curved surface (similar to a scroll unfolding), and the user should be able to adjust the width of this surface. I have the following specific questions: How can I implement a curved surface for video playback and ensure the video content is not stretched or distorted on the surface? How can I create a dynamic curved surface (such as a bending plane) in RealityKit or visionOS, where the width can be adjusted by the user? Is it possible to achieve more complex curved surface effects (such as scroll unfolding or bending) using Shaders or other techniques? Thank you very much for your help!

Is this behaviour expected? For example, if I'm using let materials = [SimpleMaterial(color: .red, isMetallic: false)] occlusion works normally, but with let materials = [SimpleMaterial(color: .red.withAlphaComponent(0.5), isMetallic: false)] i can see my cube through real-world objects, like tables, columns, etc. I'm getting the same behaviour if using CustomMaterial from shader and applying customMaterial.blending = .opaque and customMaterial.blending = .transparent(opacity: ) respectively

Can we constrain or clamp translation with the new ManipulationComponent? For example, allow free movement within certain bounds.

Hello! I'm a developer of Ping Pong for Apple Vision Pro (Ping Pong Club). I'm experiencing an issues with collisions between ball and paddle. Sometimes the ball just unexpectedly flying away like it has been hit to hard. I believe this is happening because hand anchors are jittering (ping pong paddle has hand anchor component) and at the time of collision unnecessary micro motion produced. I've build a demo app to demonstrate that: https://drive.google.com/file/d/1gBh-DsXuVZdvDrrD7gJcbJ_hg7tvVKUV/view?usp=share_link Video: https://drive.google.com/file/d/1poPbsJdBz87edqrWIfBt1eSVzfm5CTek/view?usp=sharing Is there a way to add some threshold to prevent jittering?

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

Hi Apple Team and Developers, First of all, I’d like to express my appreciation for the incredible results achieved using PhotogrammetrySession. I’ve been developing a portrait scanning app using Object Capture, and in many tests—especially with human models—I’ve found the reconstructed body surfaces are remarkably smooth and clean, often outperforming tools like Metashape and RealityCapture in terms of aesthetic results. However, I’ve encountered some challenges when working with complex areas like long hair overlapping the face. For instance, with female models where strands of hair partially occlude the face, the resulting mesh tends to merge the hair and facial geometry. This leads to distorted or “melted” facial features, likely due to ambiguity in the geometry estimation phase. Feature Suggestion: Would it be possible to allow developers to supply two versions of the input images: • One version (original) for texture generation • A pre-processed version (e.g., contrast-enhanced or CLAHE filtered) to guide mesh reconstruction only This would give us the flexibility to enhance edge features or shadow detail without affecting the final texture appearance. In other photogrammetry pipelines, applying image enhancement selectively before dense reconstruction improves geometry quality in low-contrast areas. Question: Is there any plan to support this kind of two-path workflow in future versions of PhotogrammetrySession? Or perhaps expose more intermediate stages or tunable parameters to developers? Also, any hints on what we can expect from WWDC 2025 regarding improvements to Object Capture or related vision/3D technologies? Thanks again for this powerful API. Looking forward to hearing insights from the team and other developers. Warm regards, KitCheng

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) } } }

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

Hi Apple Team, I’m working on a human portrait scanning application using PhotogrammetrySession, and I’ve been very impressed by the results. Thank you for building such a powerful and accessible photogrammetry solution into macOS! I do, however, have a question regarding mesh detail limitations on different Mac hardware configurations. When using PhotogrammetrySession.Request.Detail.custom and trying to set maximumPolygonCount = 1000000, I see the following log message: Clamped max poly count: 1000000 to device limit. 250000 is used. This is on an M1 Max with 32 GB RAM. I’m aware that PhotogrammetrySession.limits can report values like maximumInputImageDimension and maximumNumberOfInputImages, but I haven’t found documentation on how the maximumPolygonCount is determined, and what hardware specs influence it. Is it tied more to: • GPU performance (e.g. neural/graphics cores)? • CPU architecture? • Memory size or bandwidth? • Or is it fixed per SoC generation? I’d love to understand what kind of hardware upgrades (e.g. moving to M4 Pro or increasing RAM) could allow me to increase mesh complexity and generate more detailed models. Any insights would be greatly appreciated—and if this is covered in upcoming WWDC sessions or documentation, I’d be happy to tune in. Thanks in advance! KitCheng

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 am still not finding resources to know how to replace hands in a full immersive Space.... I reached the goal by creating a ARKit session that can detect the USDZ hand mesh Joints and connect to the hand-tracked-joints.... but I feel that's not the best solution... I really want to use the RealityKit potential to track and replace hands (with USDZ skinned ones) in an immersive environment, but the only resources I found are from November 2023.... :( Can someone help me?

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!

当我进入混合空间时，出现一个模型，但模型后面有一个 windowGroup，无法完全查看。如果我想点击进入 mix 空间，我需要使用代码将 windowGroup 移动到另一个位置，而不是手动移动 ![]（“https://developer.apple.com/forums/content/attachment/0471ead0-4c74-43a7-9ecc-12e67e81cec6” “title=WechatIMG31.jpg;宽度=915;高度=777”）

I'm capturing a room via RoomPlan API and would like to access the DepthMap(sceneDepth) or SmoothDepthMap(smoothedSceneDepth) from my own provided ARSession for RoomCaptureSession. But both depth maps are empty when handling the delegates. I have not found a solution yet. So is it even possible? Because i have not found any documentation of what RoomCaptureSession overwrites in the ARSession if I provide my own ARSession instance. Here is a example code snippet of what i'm trying to do: private let arSession = ARSession() private lazy var roomPlanCaptureSession = RoomCaptureSession(arSession: arSession) let arConfig = ARWorldTrackingConfiguration() //Create semantics for ARconfig which is used for ARSession var semantics: ARWorldTrackingConfiguration.FrameSemantics = [] if ARWorldTrackingConfiguration.supportsFrameSemantics(.sceneDepth) { semantics.insert(.sceneDepth) } if ARWorldTrackingConfiguration.supportsFrameSemantics(.smoothedSceneDepth) { semantics.insert(.smoothedSceneDepth) } arConfig.frameSemantics = semantics //set delegates roomPlanCaptureSession.delegate = self arSession.delegate = self //Check if device support for depthMap if ARWorldTrackingConfiguration.supportsFrameSemantics(.sceneDepth){ arSession.run(arConfig) } else{ print(".sceneDepth is unsupported.") } //run roomcapture scan config let captureConfig = RoomCaptureSession.Configuration() roomPlanCaptureSession.run(configuration: captureConfig) //trying to get sceneDepth public func session(_ session: ARSession, didUpdate frame: ARFrame) { print("session delegate capture: sceneDepth: \(String(describing: frame.sceneDepth))") //prints: session delegate capture: sceneDepth: nil also in this video from 2023 it is say that i can pass custom ARSession to my RoomPlan. Explore enhancements to RoomPlan - Video Quote 3:00: Here is the init and stop function in previous RoomPlan. And here is how you pass over a custom ARSession to init function. Any custom ARSession with ARWorldTrackingConfiguration will be honored inside RoomCaptureSession. anyway I welcome any input. maybe im doing something wrong. :)

After updating to visionOS 26.2 Beta 2 (and Beta 3), I'm unable to establish a spatial connection to Vision Pro. This was working fine before the update. To test, I've created a fresh spatialApp project from the Xcode template with zero modifications, but I'm hitting the same issue - the Vision Pro is discovered but won't connect. Am I forgetting to update the config somewhere? Any ideas what might be causing this and how to fix it? Thanks! Warning: -[NSWindow makeKeyWindow] called on <NSWindow: 0xa1f811900> windowNumber=1b9 which returned NO from -[NSWindow canBecomeKeyWindow]. ((processConfiguration != nil && configuration != nil) || (processConfiguration == nil && configuration == nil)) - /AppleInternal/Library/BuildRoots/4~CBS0ugAIF7BrQZjLe6r0lhPXO4GJmNDTovxYoV0/Library/Caches/com.apple.xbs/Sources/ExtensionKit/ExtensionKit/Source/HostViewController/Internal/EXHostSessionDriver.m:80: `processConfiguration` and `configuration` must be both non-nil or both nil Unable to obtain a task name port right for pid 415: (os/kern) failure (0x5) CCContextDeviceGroup.mm(291):+[CCContextDeviceGroup checkBinaryArchivesForDevice:withBundle:]: Failed to find any binary shader archive

Hope to achieve stable transmission And the colors are different. The colors in the glasses are not consistent with the colors projected on the screen.