0 I’m using ARKit + SceneKit (Swift) with ARWorldTrackingConfiguration and detectionImages to place a 3D object (USDZ via SCNScene(named:)) when a reference image is detected. While the image is tracked, the object stays correctly aligned. Goal: When the tracked image is no longer visible, I want the placed node to remain visible and fixed at its last known pose (no drifting) as I move the camera. What works so far: Detect image → add node → track updates When the image disappears → keep showing the node at its last pose Problem: After the image is no longer tracked, the node drifts as I move the device/camera. It looks like it’s still influenced by the (now unreliable) image anchor or accumulating small world-tracking errors. Question: What’s the correct way in ARKit to “freeze” the node at its last known world transform once ARImageAnchor stops tracking, so it doesn’t drift?

Since updating to iOS 26.0 (and confirmed on 26.1), ARBodyTrackingConfiguration no longer detects a valid ARBodyAnchor on devices with LiDAR (e.g., iPhone 15 Pro, iPhone 17 Pro Max). This issue reproduces in custom projects and Apple’s official sample “Capturing Body Motion in 3D”. The AR session runs normally, but the delegate call: func session(_ session: ARSession, didUpdate anchors: [ARAnchor]) never yields an ARBodyAnchor with valid joint transforms. All joints return nil when calling: body.skeleton.modelTransform(for: jointName) resulting in 0 valid joints per frame. Environment • Device: iPhone 17 Pro Max (LiDAR) • iOS: 26.0 / 26.1 • Xcode: 16.0 (stable) • Framework: ARKit + RealityKit • Configuration used: config.worldAlignment = .gravityAndHeading config.isAutoFocusEnabled = true config.environmentTexturing = .none session.run(config) Also tested: with and without frameSemantics = .bodyDetection Expected Behavior ARBodyAnchor should be detected and body.skeleton should contain ~89 valid joints with continuous updates.

Hi everyone, We’re developing a Unity project for Apple Vision Pro that connects PSVR2 Sense controllers for advanced interaction and input. We’ve encountered a major limitation: when the controller is not held close to the designated hand (e.g., resting on a table or held by the non designated hand), the Sense controller enters a low-power or reduced-update mode. This results in noticeably reduced tracking update frequency and responsiveness until the controller is held again. For certain use cases, this behavior is undesirable. In our case, it prevents continuous real-time tracking of the controller even when it’s stationary or being tracked externally. Request: Please consider exposing an API flag or developer option in ARKit to disable and optionally delay the low-power mode when the app requires full-rate updates regardless of proximity or hand pose detection.

Hi, I have a hand model that is in FBX and I'm exporting it to USD in Blender. I get a skinned mesh and while I can track the whole hand how do I track each joint and assign it and animate the skinned mesh itself. All my attempts say this is not possible in RealityKit as of now. True?

We are working on a world scale AR app that leverages the device location and heading to place objects in the streets, so that they are correctly and stably anchored to certain locations. Since the geo-tracking imagery is only available in certain cities and areas, we are trying to figure out how to fallback when geo-tracking is not available as the device move away, to still retain good AR camera accuracy. We might need to come up with some algorithm using the device GPS, to line up the ARCamera with our objects. Question: Does geo-tracking always provide greater than or equal to the accuracy of world tracking, for a GPS outdoor AR experience? If so, we can simply use the ARGeoTrackingConfiguration for the entire time, and rely on the ARView keeping itself aligned. Otherwise, we need to switch between it and ARWorldTrackingConfiguration when geo-tracking is not available and/or its accuracy is low, then roll our own algorithm to keep the camera aligned. Thanks.

I have read in the apple documentation and on forums that in order to access the camera and capture images on VisionPro, both an Entitlement and an Enterprise.license are required. I already have the Entitlement, but I don’t yet have the Enterprise.license. I would like to ask: is the Enterprise.license strictly required to gain camera access for capturing images? How can I obtain this file, and does it require an Enterprise account? Currently, my developer account is a regular Developer 99$, not an Enterprise account.

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?

When scanning multiple rooms (10+) in a single structure using ARWorldMap for coordinate space consistency, RoomCaptureSession throws CaptureError.exceedSceneSizeLimit. The instructions here (https://developer.apple.com/documentation/roomplan/scanning-the-rooms-of-a-single-structure) provide exactly what I am doing to keep the underlying ARSession alive (by calling captureSession.stop(pause: false)) and save the results before a user moves to the next room. Scanning 11 or so rooms will cause the user to hit the exceedSceneSizeLimit error. The ARWorldMap is about 58 MB and always is around this size when hitting this issue. No anchors are present and all the data seems to be from tracking data. On iPad devices (where I do not see this issue) the ARWorldMap grows as a significantly slower rate in size. I save the ARWorldMap after each room is scanned and confirmed by the user. If I use the ARMap to initialize the ARSession (as described in the docs) the session will immediately error with "exceedSceneSizeLimit" once the captureSession.run() is executed. Occasionally it will allow me/the user to scan again, but either breaks mid scan or the following. This has been working fine for the past 2 years and users have been able to scan dozens of rooms without issue. It seems only lately that it has been a problem. I would expect the ARWorldMap to be allowed for much bigger sizes. At this point I can just about scan more area of my house with a single scan than I can when I use different captureSessions. Few observations: This happens on my iPhone 15 Pro Max, my iPhone 17 Pro, but not my iPad M4 (maybe memory related?). It is possible if scanning many more rooms it would happen on the iPad too. I have tried things such as resetting the ARConfig on the underlying ARSession to reset some, but this doesn't work. I have tried to create a new ARWorldMap and move the origin to the older map to clear out tracking data. This almost works but causes a mess of issues when a user moves at all due to the unshared coordinate space. I believe there are three active issues regarding this: FB14454922, FB15035788, FB20642944 Could we get an update for this issue? It is a production issue and severely limits my user experience in my production application.

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?

I'm working on a project that uses imageTrackingProvider through ARKit on VisionPro, and I want to detect multiple images(about 5) and show info at the same time. However, I found that it seems only 1 image could be detected by device at one time. And the api of maximumNumberOfTrackedImages doing this seems not available for visionOS but only iOS. Anyone knows possible ways to detect multiple images at the same time on VisionPro?

https://developer.apple.com/documentation/arkit/arpointcloud https://developer.apple.com/documentation/arkit/arframe/rawfeaturepoints The point cloud (collection of points/features) main intention is a debug visualization to what the underlying tracking algorithm processes and is not designed for additional algorithms on top of that. But, we are utilizing information contained in the points/features collected by ARKit. Currently, the range of rawfeaturepoints is limited to about 10 meter from the device. We see a great chance if the range is unlock. The global localization will be more robust and accurate. ARPointCloud - Apple ARKit - FindSurface YouTube SIdQRiLj2jY

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

I am working on a project that requires access to the main camera on the Vision Pro. My main account holder applied for the necessary enterprise entitlement and we were approved and received the Enterprise.license file by email. I have added the Enterprise.license file to my project, and manually added the com.apple.developer.arkit.main-camera-access.allow entitlement to the entitlement file and set it to true since it was not available in the list when I tried to use the + Capability button in the Signing & Capabilites tab. I am getting an error: Provisioning profile "iOS Team Provisioning Profile: " doesn't include the com.apple.developer.arkit.main-camera-access.allow entitlement. I have checked the provisioning profile settings online, and there is no manual option for adding the main camera access entitlement, and it does not seem to be getting the approval from the license.

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.

When I run my app from Xcode on a device running iOS 26, the roomplan capture is corrupted and the recording is green and purple. This issue does not occur when I use an older version of iOS or when I run the app via testFlight or the App Store.

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

Recently, questions about ARKit/visionOS seem to be being asked in the Apple forum by internal Apple engineers. Inexperienced and untested makeshift features are being offered, putting average but experienced developers in a difficult position. They are unable to react and get something useful from the posts. Apple needs to review the situation.

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 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?

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!