Hi, I called it "perspective problem", but I'm not quite sure what it is. I have a tag that I track with builtin camera. I calculate its pose, then use extrinsics and device anchor to calculate where to place entity with model. When I place an entity that overlaps with physical object and start to look at it from different angles, the virtual object begins to move. Initially I thought that it's something wrong with calculations, or some image distortion closer to camera edges is affecting tag detection. To check, I calculated the position only once and displayed entity there, the physical tracked object is not moving. Now, when I move my head, so the object is more to the left, or right in my field of view, the virtual object becomes misaligned to the left, or right. It feels like a parallax effect, but distance from me to entity and to physical object are exactly the same. Is that expected, because of some passthrough correction magic? And if so, can I somehow correct it back, so the entity always overlaps with object? I'm currently on v26 beta 5. I also don't quite understand the camera extrinsics, because it seems that I need to flip it around X by 180 degrees to make it work in deviceAnchor * extrinsics.inverse * tag (shouldn't it be in same coordinates as all other RealityKit things?).

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!

I thought the ARCoachingOverlayView was a nice touch, so each apps ARKit coaching was recognizable and I used it in my ARView/ARSCNView based apps. Now with RealityView, is there any replacement planned? Or should we just use UIViewRepresentable and wrap ARCoachingOverlayView?

Is there any way to render a RealityView to an Image/UIImage like we used to be able to do using SCNView.snapshot() ? ImageRenderer doesn't work because it renders a SwiftUI view hierarchy, and I need the currently presented RealityView with camera background and 3D scene content the way the user sees it I tried UIHostingController and UIGraphicsImageRenderer like extension View { func snapshot() -> UIImage { let controller = UIHostingController(rootView: self) let view = controller.view let targetSize = controller.view.intrinsicContentSize view?.bounds = CGRect(origin: .zero, size: targetSize) view?.backgroundColor = .clear let renderer = UIGraphicsImageRenderer(size: targetSize) return renderer.image { _ in view?.drawHierarchy(in: view!.bounds, afterScreenUpdates: true) } } } but that leads to the app freezing and sending an infinite loop of [CAMetalLayer nextDrawable] returning nil because allocation failed. Same thing happens when I try return renderer.image { ctx in view.layer.render(in: ctx.cgContext) } Now that SceneKit is deprecated, I didn't want to start a new app using deprecated APIs.

I have a visionOS app where I instantiate ARKitSession and various providers (HandTrackingProvider and WorldTrackingProvider) in my appModel. That way, I can pass these providers to a Task which runs a gRPC server for sending the data from these providers to a client. When the users enters the immersive space of the app, the ARKitSession will run the providers if they are not running already. I am now trying to implement the AccessoryTrackingProvider with the PSVR sense controllers but it does not fit with my current framework because the controllers may not be connected when the ARKitSession.run function is called. So I need to find a new place to start the session. My question is, if I already have a session which is running the hand and world tracking providers, can I start another session to run the accessory tracking? Should they all be running on the same session? Is there a way to stop the session and restart it when the controllers are connected? When I tried this, I get an error that says "It is not possible to re-run a stopped data provider (<ar_hand_tracking_provider_t: " but if I instantiate a new HandTrackingProvider, then the one that got passed to the gRPC task would no longer be the one running in the new session. Any advice on how best to manage the various providers and ARKit sessions would be greatly appreciated.

I downloaded the official sample project “Accessing the Main Camera”, but I found that it’s not able to retrieve the camera feed on visionOS 26.1. After checking the debug logs, it seems the issue is caused by the system being unable to find the expected format. I tested on a device running visionOS 2, and the camera feed worked correctly — but only when using the sample code from the visionOS 2 version, not the current one. I also noticed that some of the APIs have changed between versions. Has anyone managed to successfully access the camera feed on visionOS 26.1?

Hey, I have Enterprise Access on the account and have added the passthrough capability and the entitlement on the main project and the "Broadcast Upload" extension, too. The broadcast works except it returns a black screen. I am attaching some screenshots below of the entitlement file. I have tried searching online to no avail, so any help would be greatly appreciated. I am also attaching the code. import Foundation import AVFoundation import ReplayKit class VideoAssetWriter { private var isRecording = false private var outputStream: OutputStream? private func setupConnection() { guard outputStream == nil else { return } print("setting up connection.") let serverIP = macIP let port = 12345 var readStream: Unmanaged<CFReadStream>? var writeStream: Unmanaged<CFWriteStream>? CFStreamCreatePairWithSocketToHost(kCFAllocatorDefault, serverIP as CFString, UInt32(port), &readStream, &writeStream) guard let writeStream = writeStream?.takeRetainedValue() else { print("Failed to create write stream") return } self.outputStream = writeStream as OutputStream self.outputStream?.open() } func startRecording() { isRecording = true } func processVideoSampleBuffer(_ sampleBuffer: CMSampleBuffer) { print("Processing Sample 1") guard isRecording else { return } print("Processing Sample 2") sendVideoChunkToServer(sampleBuffer) } private func sendVideoChunkToServer(_ sampleBuffer: CMSampleBuffer) { guard let imageBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return } print("Processing Sample 3") let ciImage = CIImage(cvPixelBuffer: imageBuffer) let context = CIContext() guard let cgImage = context.createCGImage(ciImage, from: ciImage.extent) else { return } print("Processing Sample 4") let image = UIImage(cgImage: cgImage) if let imageData = image.jpegData(compressionQuality: 0.5) { guard imageData.count <= 10_000_000 else { print("Frame too large: \(imageData.count) bytes") return } if outputStream == nil { setupConnection() } print("sending frame size up connection.") // Convert to network byte order (big-endian) var frameSize = UInt32(imageData.count).bigEndian let sizeData = Data(bytes: &frameSize, count: MemoryLayout<UInt32>.size) _ = sizeData.withUnsafeBytes { outputStream?.write($0.baseAddress!.assumingMemoryBound(to: UInt8.self), maxLength: sizeData.count) } print("sending image data up connection.") // Send frame data _ = imageData.withUnsafeBytes { outputStream?.write($0.baseAddress!.assumingMemoryBound(to: UInt8.self), maxLength: imageData.count) } } } func stopRecording() { isRecording = false outputStream?.close() outputStream = nil } } This is the broadcast picker view wrapper: // Broadcast Picker View wrapper struct BroadcastButtonView: UIViewRepresentable { func makeUIView(context: Context) -> RPSystemBroadcastPickerView { let broadcastPickerView = RPSystemBroadcastPickerView( frame: CGRect(x: 0, y: 0, width: 200, height: 200) ) // Make sure this matches your broadcast extension bundle identifier broadcastPickerView.preferredExtension = "my-extension-bundle-identifier" broadcastPickerView.showsMicrophoneButton = false return broadcastPickerView } func updateUIView(_ uiView: RPSystemBroadcastPickerView, context: Context) { } } The extension SampleHandler: override func broadcastPaused() { print("paused broadcast") // User has requested to pause the broadcast. Samples will stop being delivered. } override func broadcastResumed() { print("resumed broadcast") // User has requested to resume the broadcast. Samples delivery will resume. } override func processSampleBuffer(_ sampleBuffer: CMSampleBuffer, with sampleBufferType: RPSampleBufferType) { print("broadcast received") assetWriter?.processVideoSampleBuffer(sampleBuffer) } Looking forward to any and all help. Information Property list: Information property list for the extension: The capabilities:

Hello All, We're going to do a scene now, kind of like a time travel door. When the user selects the scene, the user passes through the door to show the current scene. The changes in the middle need to be more natural. It's even better if you can walk through an immersive space... There is very little information now. How can I start doing this? Is there any information I can refer to thanks

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!

I want a sentence custom hover effect, not a button. I want a hover effect when you look at one sentence out of many sentences. So I searched for reference videos https://youtu.be/DftRTx1oX6E , https://developer.apple.com/videos/play/wwdc2023/10110/ on apple youtube and visionOS documentation. But I haven't gotten anywhere near my wish feature yet. I respectfully request someone to help me. :)

I was watching the Developer videos, and there was mention that RealityView handles persistent world data differently and also automatically for us. I am having an issue finding the material I need to get up to speed on that. In ARKit, I was able to place a model with the world data and recall that .map data. It even stored a reference image for the scene to help match the world data. I'm looking for the information on how to implement and work with those same features with RealityView, as it seems to be better/automatically integrated? I need help being pointed in the right direction. Sample code would be amazing.

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

In the WWDC session titled "Deep dive into volumes and immersive spaces", the developers discussed adding a Spatial Tracking Session and an Anchor Entity to detect the floor. They then glossed over some important details. They added a spatial tap gesture to let the user place content relative to the floor anchor, but they left a lot of information. .gesture( SpatialTapGesture( coordinateSpace: .immersiveSpace ) .targetedToAnyEntity() .onEnded { value in handleTapOnFloor(value: value) } ) My understanding is that an entity has to have input and collision components for gestures like this to work. How can we add a collision to an AnchorEntity when we don't know its size or shape? I've been trying for days to understand what is happening here and I just don't get it. It is even more frustrating that the example project that Apple released does not contain any of these features. I would like to be able Detect the floor plane Get the position/transform of the floor plane Add a collider to the floor plane Enable collisions and physics on the floor plane Enable gestures on the floor plane It seems to me that the Anchor Entity is placed as an entirely arbitrary position. It has absolutely no relationship to the rectangle with the floor label that I can see in the Xcode visualization. It is just a point, not a plane or rect that I can use. I've tried manually calculating the collision shape after the anchor is detected, but nothing that I have tried works. I can't tap on the floor with gestures. I can't drop entities onto the floor. I can't seem to do ANYTHING at all with this floor anchor other than place entity at the totally arbitrary location somewhere on the floor. Is there anyway at all with Spatial Tracking Session and Anchor Entity to get the actual plane that was detected? struct FloorExample: View { @State var trackingSession: SpatialTrackingSession = SpatialTrackingSession() @State var subject: Entity? @State var floor: AnchorEntity? var body: some View { RealityView { content, attachments in let session = SpatialTrackingSession() let configuration = SpatialTrackingSession.Configuration(tracking: [.plane]) _ = await session.run(configuration) self.trackingSession = session let floorAnchor = AnchorEntity(.plane(.horizontal, classification: .floor, minimumBounds: SIMD2(x: 0.1, y: 0.1))) floorAnchor.anchoring.physicsSimulation = .none floorAnchor.name = "FloorAnchorEntity" floorAnchor.components.set(InputTargetComponent()) floorAnchor.components.set(CollisionComponent(shapes: .init())) content.add(floorAnchor) self.floor = floorAnchor // This is just here to let me see where visinoOS decided to "place" the floor anchor. let floorPlaced = ModelEntity( mesh: .generateSphere(radius: 0.1), materials: [SimpleMaterial(color: .black, isMetallic: false)]) floorAnchor.addChild(floorPlaced) if let scene = try? await Entity(named: "AnchorLabsFloor", in: realityKitContentBundle) { content.add(scene) if let subject = scene.findEntity(named: "StepSphereRed") { self.subject = subject } // I can see when the anchor is added _ = content.subscribe(to: SceneEvents.AnchoredStateChanged.self) { event in event.anchor.generateCollisionShapes(recursive: true) // this doesn't seem to work print("**anchor changed** \(event)") print("**anchor** \(event.anchor)") } // place the reset button near the user if let panel = attachments.entity(for: "Panel") { panel.position = [0, 1, -0.5] content.add(panel) } } } update: { content, attachments in } attachments: { Attachment(id: "Panel", { Button(action: { print("**button pressed**") if let subject = self.subject { subject.position = [-0.5, 1.5, -1.5] // Remove the physics body and assign a new one - hack to remove momentum if let physics = subject.components[PhysicsBodyComponent.self] { subject.components.remove(PhysicsBodyComponent.self) subject.components.set(physics) } } }, label: { Text("Reset Sphere") }) }) } } }

Subject: Combining ARKit Face Tracking with High-Resolution AVCapture and Perspective Rendering on Front Camera Message: Hello Apple Developer Community, We’re developing an application using the front camera that requires both real-time ARKit face tracking/guidance and the capture of high-resolution still images via AVCaptureSession. Our goal is to leverage ARKit’s depth and face data to render a captured image from another perspective post-capture, maintaining high image quality. Our Approach: Real-Time ARKit Guidance: Utilize ARKit (e.g., ARFaceTrackingConfiguration) for continuous face tracking, depth, and scene understanding to guide the user in real time. High-Resolution Capture Transition: At the moment of capture, we plan to pause the ARKit session and switch to an AVCaptureSession to take a high-resolution image. We assume that for a front-facing image, the subject’s face is directly front-on, and the relative pose between the face and camera remains the same during the transition. The only variation we expect is a change in distance. Our intention is to minimize the delay between the last ARKit frame and the high-res capture to maintain temporal consistency, assuming that aside from distance, the face-camera relative pose remains unchanged. Post-Processing Perspective Rendering: Using the last ARKit face data (depth, pose, and landmarks) along with the high-resolution 2D image, we aim to render the scene from another perspective. We want to correct the perspective of the 2D image using SceneKit or RealityKit, leveraging the collected ARKit scene information to achieve a natural, high-quality rendering from a different viewpoint. The rendering should match the quality of a normally captured high-resolution image, adjusting for the difference in distance while using the stored ARKit data to correct perspective. Our Questions: Session Transition Best Practices: What are the recommended best practices to seamlessly pause ARKit and switch to a high-resolution AVCapture session on the front camera How can we minimize user movement or other issues during this brief transition, given our assumption that the face-camera pose remains largely consistent except for distance changes? Data Integration for Perspective Rendering: How can we effectively integrate stored ARKit face, depth, and pose data with the high-res image to perform accurate perspective correction or rendering from another viewpoint? Given that we assume the relative pose is constant except for distance, are there strategies or APIs to leverage this assumption for simplifying the perspective transformation? Perspective Correction with SceneKit/RealityKit: What techniques or workflows using SceneKit or RealityKit are recommended for correcting the perspective of a captured 2D image based on ARKit scene data? How can we use these frameworks to render the high-resolution image from an alternative perspective, while maintaining image quality and fidelity? 4. Pitfalls and Guidelines: What common pitfalls should we be aware of when combining ARKit tracking data with high-res capture and post-processing for perspective rendering? Are there performance considerations, recommended thresholds for acceptable temporal consistency, or validation techniques to ensure the ARKit data remains applicable at the moment of high-res capture? We appreciate any advice, sample code references, or documentation pointers that could assist us in implementing this workflow effectively. Thank you!

PLATFORM AND VERSION Vision OS Development environment: Xcode 16.2, macOS 15.2 Run-time configuration: visionOS 2.3 (On Real Device, Not simulator) Please someone confirm I'm not crazy and this issue is actually out of my control. Spent hours trying to fix my app and running profiles because thought it was an issue related to my apps performance. Finally considered chance it was issue with API itself and made sample app to isolate problem, and it still existed in it. The issue is when a model entity moves around in a full space that was launched when the system environment immersion was turned up before opening it, the entities looks very choppy as they move around. If you take off the headset while still in the space, and put it back on, this fixes it and then they move smoothly as they should. In addition, you can also leave the space, and then turn the system environment immersion all the way down before launching the full space again, this will also make the entity moves smoothly as it should. If you launch a mixed immersion style instead of a full immersion style, this issue never arrises. The issue only arrises if you launch the space with either a full style, or progressive style, while the system immersion level is turned on. STEPS TO REPRODUCE https://github.com/nathan-707/ChoppyEntitySample Open my test project, its a small, modified vision os project template that shows it clearly. otherwise: create immersive space with either full or progressive immersion style. setup a entity in kinematic mode, apply a velocity to it to make it pass over your head when the space appears. if you opened the space while the Apple Vision Pros system environment was turned up, the entity will look choppy. if you take the headset off while in the same space, and put it back on, it will fix the issue and it will look smooth. alternatively if you open the space with the system immersion environment all the way down, you will also not run into the issue. Again, issue also does not happen if space launched is in mixed style.

Hi, When I'm looking at the RoomAnchor documentation I can see the planeAnchorIDs property. My question: How I can get an array of PlaneAnchor with planeAnchorIDs? A code example would be greatly appreciated. Regards Tof

Hello, We've been working for months now on an App for the Vision Pro. (it's been great btw!) We already have an App in the App Store for iOS, and have been migrating our platform from the Microsoft Hololens 2 to the AVP: https://apps.microsoft.com/detail/9NPPP031VHD1 We require the Main Camera access and already have gotten the Enterprise.license for development purposes. Unfortunately, we cannot publish our Business App (which uses an Enterprise API) under the same Name/Bundle ID as our iOS App because it would conflict with our current Distribution Method. We arrived at the conclusion that we need a new Enterprise.license under a different Bundle ID to create a new App for the Business Store. Has anyone been in the same boat as us, and tried to publish to the Business Store while already having an App in the Public App Store under the same name? We applied to get another license for distribution under another name (with "Pro" at the end), but it's been stuck in limbo for over a month now (probably because the new bundle ID doesn't have any track record). Anyhow, thanks for any help, we're open to suggestions as to how to proceed!

I am a newby of spatial computing. Here I am learning how to use ARKit to capture the environment texture and apply it on a ModelEntity of RealityKit on Vision Pro. But I do not find a demo of how to use EnvironmentLightEstimationProvider. After checking the documentation, I also have some questions: EnvironmentProbeAnchor.environmentTexture is a MTLTexture, but EnvironmentResource needs a CGImage. How do I translate MTLTexture to CGImage(Forgive me that I do not know much about Metal or other framework, so It will be better if there is a code that I can copy and paste directly) It seems that the EnvironmentProbeAnchor can only get the light information around the device. But what should I do if I want get the light information around the ModelEntity so that I can apply the environment texture on it. It will be better if you can provide a code demo about how to use the new api. Thank you!

Hello, We discovered that a bunch of our old animated models were no longer animated on iOS15 and onwards. After a few days of playing spot the difference between usda files I noticed that all the broken models had an xform called "Scene". Lo and behold, changing the name of that xform fixed the issue on all the models. Even lowercase "scene" makes the animations work again. Is "Scene" a reserved keyword or something? What other keywords do we need to avoid so we can create more robust USDZ files? I'm surprised this issue isn't more widespread considering Blender wraps models in a "Scene" node. At the drive link below you can find two animated cube USDZs. The only difference is the name of one of the xforms. The one with a "Scene" xform is not animated in quicklook (replicated on iPhone 13 iOS v15.2, iPhone 13 iOS v 18.3, and various devices on Browserstack including iPhone 16 iOS v18.3). https://drive.google.com/drive/folders/1dch1WaM9O6mbHy29S6NGWgnSHkZkPiBf?usp=sharing

Hello, I have downloaded and run the sample object tracking app for visionos. Now I'm working on my own objects for tracking. I have made a model using Create ML using images of my object. However, I cannot see how to convert the Create ML output file (xxx.mlmodel) into a reference object like the files in the sample project. is there a tool for converting them? TIA