There a way to use contentCaptureProtected with Quick Look on VisionOS 26? Or exist a way to see a spatial photo with Quick Look without sharing options ?

I am creating a vision pro app with a 3D model, it has a mesh hierarchy of head, hands, feet etc. I want the character to look towards the camera, but am not able to access head of character through sceneKit nor reality kit. when I try to print names of the child meshes, it only prints till the character, it does iterate through all the body parts. Can anyone help?

I am running a Spatial Rendering App template demo， it shows “No People Found ” “There is no one nearby to share with”. How can I stream videos rendered by Mac to my vision pro I am using macOS 26.0, visionOS 26, Xcode 26

Hi, would love for your help in that matter. I try to get the position in space of two QR codes to make an alignment to their positions in space. The detection shows that the QR codes position is always 0,0,0 and I don't understand why. Here's my code: import SwiftUI import RealityKit import RealityKitContent struct AnchorView: View { @ObservedObject var qrCoordinator: QRCoordinator @ObservedObject var coordinator: ImmersiveCoordinator let qrName: String @Binding var startQRDetection: Bool @State private var anchor: AnchorEntity? = nil @State private var detectionTask: Task<Void, Never>? = nil var body: some View { RealityView { content in // Add the QR anchor once (must exist before detection starts) if anchor == nil { let imageAnchor = AnchorEntity(.image(group: "QRs", name: qrName)) content.add(imageAnchor) anchor = imageAnchor print("📌 Created anchor for \(qrName)") } } .onChange(of: startQRDetection) { enabled in if enabled { startDetection() } else { stopDetection() } } .onDisappear { stopDetection() } } private func startDetection() { guard detectionTask == nil, let anchor = anchor else { return } detectionTask = Task { var detected = false while !Task.isCancelled && !detected { print("🔎 Checking \(qrName)... isAnchored=\(anchor.isAnchored)") if anchor.isAnchored { // wait a short moment to let transform update try? await Task.sleep(nanoseconds: 100_000_000) let worldPos = anchor.position(relativeTo: nil) if worldPos != .zero { // relative to modelRootEntity if available var posToSave = worldPos if let modelEntity = coordinator.modelRootEntity { posToSave = anchor.position(relativeTo: modelEntity) print("converted to model position") } else { print("⚠️ modelRootEntity not available, using world position") } print("✅ \(qrName) detected at position: world=\(worldPos) saved=\(posToSave)") if qrName == "reanchor1" { qrCoordinator.qr1Position = posToSave let marker = createMarker(color: [0,1,0]) marker.position = .zero // sits directly on QR marker.position = SIMD3<Float>(0, 0.02, 0) anchor.addChild(marker) print("marker1 added") } else if qrName == "reanchor2" { qrCoordinator.qr2Position = posToSave let marker = createMarker(color: [0,0,1]) marker.position = posToSave // sits directly on QR marker.position = SIMD3<Float>(0, 0.02, 0) anchor.addChild(marker) print("marker2 added") } detected = true } else { print("⚠️ \(qrName) anchored but still at origin, retrying...") } } try? await Task.sleep(nanoseconds: 500_000_000) // throttle loop } print("🛑 QR detection loop ended for \(qrName)") detectionTask = nil } } private func stopDetection() { detectionTask?.cancel() detectionTask = nil } private func createMarker(color: SIMD3<Float>) -> ModelEntity { let sphere = MeshResource.generateSphere(radius: 0.05) let material = SimpleMaterial(color: UIColor( red: CGFloat(color.x), green: CGFloat(color.y), blue: CGFloat(color.z), alpha: 1.0 ), isMetallic: false) let marker = ModelEntity(mesh: sphere, materials: [material]) marker.name = "marker" return marker } }

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'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.

help me please i cant remove little messed up pixels and they are getting more and more please help me!! 2025 Macbook pro no protection screen actual screen

Hi, When viewing a spatial photo scene on the Apple Vision Pro Photos app, you can tap on the immersive icon on the top right corner to transaction from the window presenting the image as spatial3d to an immersive photo scene with spatial3DImmersive where the window borders disappear. Could someone explain how to achieve that? I tried to do it but once I transition from spatial3d to spatial3DImmersive I can see still see a rectangle around the spatial image. Thanks.

In my Reality Composer Pro workflow for Vision Pro development, I’m using xcrun realitytool image to pre-compress textures into .ktx format, typically using ASTC block compression. These textures are used for cubemaps and environment assets. I’ve noticed that regardless of the image content—whether it’s a highly detailed photo or a completely black image—once compressed with the same ASTC block size (e.g., ASTC_8x8), the resulting .ktx file size is nearly identical. There appears to be no content-aware logic that adapts the compression ratio to the actual texture complexity. In contrast, Unreal Engine behaves differently: even when all cubemap faces are imported at the same resolution as DDS textures, the engine performs content-aware compression during packaging: Low-complexity images are compressed more aggressively The final packaged file size varies based on content complexity Since Reality Composer Pro requires textures to be pre-compressed as .ktx, there’s no opportunity for runtime optimization or per-image compression adjustment. Just wondering: is there any recommended way to implement content-aware compression for .ktx textures in Reality Composer Pro? Or any best practices to optimize .ktx sizes based on image complexity? Thanks!

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 there, I was looking to add a particle emitter to my augmented reality app I'm developing using RealityKit. I'm targeting iOS. I noticed in the documentation for the ParticleEmitterComponent that it looks like iOS 18.0+ is supported, but when I try to use the ParticleEmitterComponent in my code in XCode, I get an error that it isn't found. Furthermore, this StackOverflow post seems to indicate that particle systems are not available for iOS. Would it be possible to get clarification on this?

In my Reality Composer Pro workflow for Vision Pro development, I’m using xcrun realitytool image to pre-compress textures into .ktx format, typically using ASTC block compression. These textures are used for cubemaps and environment assets. I’ve noticed that regardless of the image content—whether it’s a highly detailed photo or a completely black image—once compressed with the same ASTC block size (e.g., ASTC_8x8), the resulting .ktx file size is nearly identical. There appears to be no content-aware logic that adapts the compression ratio to the actual texture complexity. In contrast, Unreal Engine behaves differently: even when all cubemap faces are imported at the same resolution as DDS textures, the engine performs content-aware compression during packaging: Low-complexity images are compressed more aggressively The final packaged file size varies based on content complexity Since Reality Composer Pro requires textures to be pre-compressed as .ktx, there’s no opportunity for runtime optimization or per-image compression adjustment. Just wondering: is there any recommended way to implement content-aware compression for .ktx textures in Reality Composer Pro? Or any best practices to optimize .ktx sizes based on image complexity? Thanks!

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

After writing the code, when debugging on VisionPro, the program will encounter a blocking situation when running from Xcode to VisionPro. It will take a long time for the execution information to appear on the Xcode console

Can you help to write a code able to pick an element a bit far from me, then bring it near to me, flick it a bit and then send it back to its original position when I release it? Thanks a lot, Christophe

How do I configure a Unity project for a fully immersive VR app on Apple Vision Pro using Metal Rendering, and add a simple pinch-to-teleport-where-looking feature? I've tried the available samples and docs, but they don't cover this clearly (to me). So far, I've reviewed Unity XR docs, Apple dev guides, and tutorials, but most emphasize spatial apps. Metal examples exist but don't include teleportation. Specifically: visionOS sample "XRI_SimpleRig" – Deploys to device/simulator, but no full immersion or teleport. XRI Toolkit sample "XR Origin Hands (XR Rig)" – Pinch gestures detect, but not linked to movement. visionOS "XR Plugin" sample "Metal Sample URP" – Metal setup works, but static scene without locomotion. I'm new in Unity XR development and would appreciate a simple, standalone scene or document focused only on the essentials for "teleport to gaze on pinch" in VR mode—no extra features. I do have some experience in unreal, world toolkit, cosmo, etc from the 90's and I'm ok with code. Please include steps for: Setting up immersive VR (disabling spatial defaults if needed). Integrating pinch detection with ray-based teleport. Any config changes or basic scripts. Project Configuration: Unity Editor Version: 6000.2.5f1.2588.7373 (Revision: 6000.2/staging 43d04cd1df69) Installed Packages: Apple visionOS XR Plugin: 2.3.1 AR Foundation: 6.2.0 PolySpatial XR: 2.3.1 XR Core Utilities: 2.5.3 XR Hands: 1.6.1 XR Interaction Toolkit: 3.2.1 XR Legacy Input Helpers: 2.1.12 XR Plugin Management: 4.5.1 Imported Samples: Apple visionOS XR Plugin 2.3.1: Metal Sample - URP XR Hands 1.6.1 XR Interaction Toolkit 3.2.1: Hands Interaction Demo, Starter Assets, visionOS Build Platform Settings: Target: Apple visionOS App Mode: Metal Rendering with Compositor Services Selected Validation Profiles: visionOS Metal Documentation: Enabled Xcode Version: 26.01 visionOS SDK: 26 Mac Hardware: Apple M1 Max Target visionOS Version: 20 or 26 Test Environment: Model: Apple Vision Pro, visionOS 26.0.1 (23M341), Apple M1 Max No errors in builds so far; just missing the desired functionality. Thanks for a complete response with actionable steps.

Hi, I'm working with CameraFrameProvider from Enterprise API. Is it always capped at 30fps, or is there something I can switch to get more? I assume it is capped at 30, so let me cram in additional question here :). If I'd get a developer strap and attach an external camera capable of doing >30fps, will I get the full stream, or some other limitation will kick in?

Can I apply .scrollInputBehavior(.enabled, for: .look) to a WebView (wrapped UIViewRepresentable) in a visionOS 26 app? I tried it myself, but I couldn't do it, so I would like to know if there is any way to do this. Best regards.

I'm trying to develop an app that broadcasts what the user sees (priorly we were using main camera access) but now we'd like to investigate and try with this option. I have set up the BroadcastExtension, I've added the picker, I click on my button, I can see my broadcast extension in the options list in the control center, once I click start, it stops after 1 second more or less. I'm not able to get anything in the console from my Sample Handler (prints or logs or anything). I can see however in the console.app some misleading information (one after the other): [INFO] -[RPRecordingManager getSystemBroadcastExtensionInfo:]_block_invoke:1333 Extension has passthrough license [INFO] -[RPRecordingManager getSystemBroadcastExtensionInfo:]_block_invoke:1336 Extension does not have passthrough license We have the entreprise license, the capability and I did add the capability on the extension target as well.

I'm placing sphere at finger tip and updating its position as hand move. Finger joint tracking functions correctly, but I’ve observed noticeable latency in hand tracking updates whenever a UITextView becomes active. This lag happens intermittently during app usage, lasting about 5–10 seconds, after which the latency disappears and the sphere starts following the finger joints immediately. When I open the immersive space for the first time, the profiler shows a large performance spike upto 328%. After that, it stabilizes and runs smoothly. Note: I don’t observe any lag when CPU usage spikes to 300% (upon immersive view load) yet the lag still occurs even when CPU usage remains below 100%. I’m using the following code for hand tracking: private func processHandTrackingUpdates() async { for await update in handTracking.anchorUpdates { let handAnchor = update.anchor if handAnchor.isTracked { switch handAnchor.chirality { case .left: leftHandAnchor = handAnchor updateHandJoints(for: handAnchor, with: leftHandJointEntities) case .right: rightHandAnchor = handAnchor updateHandJoints(for: handAnchor, with: rightHandJointEntities) } } else { switch handAnchor.chirality { case .left: leftHandAnchor = nil hideAllJoints(in: leftHandJointEntities) case .right: rightHandAnchor = nil hideAllJoints(in: rightHandJointEntities) } } await MainActor.run { handTrackingData.processNewHandAnchors( leftHand: self.leftHandAnchor, rightHand: self.rightHandAnchor ) } } } And here’s the function I’m using to update the joint positions: private func updateHandJoints( for handAnchor: HandAnchor, with jointEntities: [HandSkeleton.JointName: Entity] ) { guard handAnchor.isTracked else { hideAllJoints(in: jointEntities) return } // Check if the little finger tip and intermediate base are both tracked. if let tipJoint = handAnchor.handSkeleton?.joint(.littleFingerTip), let intermediateBaseJoint = handAnchor.handSkeleton?.joint(.littleFingerIntermediateTip), tipJoint.isTracked, intermediateBaseJoint.isTracked, let pinkySphere = jointEntities[.littleFingerTip] { // Convert joint transforms to world space. let tipTransform = handAnchor.originFromAnchorTransform * tipJoint.anchorFromJointTransform let intermediateBaseTransform = handAnchor.originFromAnchorTransform * intermediateBaseJoint.anchorFromJointTransform // Extract positions from the transforms. let tipPosition = SIMD3<Float>(tipTransform.columns.3.x, tipTransform.columns.3.y, tipTransform.columns.3.z) let intermediateBasePosition = SIMD3<Float>(intermediateBaseTransform.columns.3.x, intermediateBaseTransform.columns.3.y, intermediateBaseTransform.columns.3.z) // Calculate the midpoint. let midpointPosition = (tipPosition + intermediateBasePosition) / 2.0 // Position the sphere at the midpoint and make it visible. pinkySphere.isEnabled = true pinkySphere.transform.translation = midpointPosition } else { // If either joint is not tracked, hide the sphere. jointEntities[.littleFingerTip]?.isEnabled = false } // Update the positions of all other hand joint spheres. for (jointName, entity) in jointEntities { if jointName == .littleFingerTip { // Already handled the pinky above. continue } guard let joint = handAnchor.handSkeleton?.joint(jointName), joint.isTracked else { entity.isEnabled = false continue } entity.isEnabled = true let jointTransform = handAnchor.originFromAnchorTransform * joint.anchorFromJointTransform entity.transform.translation = SIMD3<Float>(jointTransform.columns.3.x, jointTransform.columns.3.y, jointTransform.columns.3.z) } } I’ve attached both a profiler trace and a video recording from Vision Pro that clearly demonstrate the issue. Profiler: https://drive.google.com/file/d/1fDWyGj_fgxud2ngkGH_IVmuH_kO-z0XZ Vision Pro Recordings: https://drive.google.com/file/d/17qo3U9ivwYBsbaSm26fjaOokkJApbkz- https://drive.google.com/file/d/1LxTxgudMvWDhOqKVuhc3QaHfY_1x8iA0 Has anyone else experienced this behavior? My thought is that there might be some background calculations happening at the OS level causing this latency. Any guidance would be greatly appreciated. Thanks!