Integrate iOS device camera and motion features to produce augmented reality experiences in your app or game using ARKit.

ARKit Documentation

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Human Body joint tracking in VisionOS
The goal is to achieve precise joint tracking for clinical assessment. The Doctor is wearing the AVP and observing the Patients movement. Do you have any recommended best practices for integrating real-time joint tracking and displaying them on the patient within visionOS? We attempted to use VNHumanBodyPose3DObservation, which theoretically should work, but we are unable to display the detected joints in an Immersive Space for real-time validation. This makes it difficult for the doctor to ensure accurate tracking and if possible a photo or video of the Range of Motion assessment would be needed for the patient record. Are there alternative methods to achieve precise real-time joint tracking without requiring main camera access (com.apple.developer.arkit.main-camera-access.allow)?
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Mar ’25
ARPlaneGeometry Negative triangles indices ?
Hello When processing an ARPlaneAnchor geometry using its ARPlaneGeometry, the triangleIndices is an array of Int16. It's supposed to be an index buffer, which can only be uint16 or uint32 metal. What am I supposed to do with negative indices ? Negative indices are rare but do appear sometimes. Thank you
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Mar ’25
Adding reference image failed in visionos
I am trying the image tracking of ARKit on VisionPro, but there seems to be some problem when adding reference image. Here is my code: let images = ReferenceImage.loadReferenceImages(inGroupNamed: "photos") print("Images: \(images)") try await appState!.arkitSession.run([imageTracking]) It can successfully print those images, however sometimes it will print the error message like this: ARImageTrackingRemoteService: Adding reference image <ARReferenceImage: 0x3032399e0 name="chair" physicalSize=(0.070, 0.093)> failed. When this error message is printed, the corresponding image can not be tracked. I do not understand why this will happen, because sometimes the image can be successfully added, but other time not, even for the same image. It makes my app not stable. Besides, there are some other error messages, and I do not know whether it is related: ARPredictorRemoteService <0x1042154a0>: Query queue is not running. Execution of the command buffer was aborted due to an error during execution. Insufficient Permission (to submit GPU work from background) (00000006:kIOGPUCommandBufferCallbackErrorBackgroundExecutionNotPermitted)
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Mar ’25
ARMeshAnchors are very unreliable on iPad Pro (4th gen)
Hello, We are developing an AR app that requires the lidar meshes. Unfortunately the ARMeshAnchors that allows us to retrieve the mesh data are very unreliable. It happens very often that the ARSession removes all ARMeshAnchors and takes anywhere from 5s to 30s to reappear. The planes detection (ARPlaneAnchors) are still working fine and the camera tracking is also working normally. I tried a basic ARKit sample app, and got the same behaviour as our own app. Is this a known issue ? Anything we can do to mitigate the issue ? Thank you
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Mar ’25
VNDetectHumanBodyPose3DRequest failing on Vision Pro
Hi! I attempted running a sample project for detecting human pose in 3D with vision framework, that can be found here: https://developer.apple.com/documentation/vision/detecting-human-body-poses-in-3d-with-vision. It works perfectly on my Macbook Pro M1, but fails on Apple Vision Pro. After selecting a photo, an endless loading screen is displayed and the following message is produced in the console: Failed to initialize 2D Detection Algorithm. Failed to initialize 2D Pose Estimation Algorithm. Failed to initialize algorithm modules Network path is nil: (null) Failed to initialize 2D Detection Algorithm. Failed to initialize 2D Pose Estimation Algorithm. Failed to initialize algorithm modules Unable to perform the request: Error Domain=com.apple.Vision Code=9 "Async status object reported as failed but without an error" UserInfo={NSLocalizedDescription=Async status object reported as failed but without an error}. de-activating session 70138 after timeout Is human pose detection expected to work on VisionOS? Is there any special configuration required, that I might be missing?
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Mar ’25
Person Occlusion on the Vision Pro
I am currently creating an app where two people share an instance of an immersive space so that they are able to point to certain things in the immersive space. Right now, other people are hidden behind the immersive space, and even with people awareness enabled for everything, people are still too difficult to see. I've found this documentation (https://developer.apple.com/documentation/arkit/occluding-virtual-content-with-people) which describes what I want to do, but it is only listed as working on iOS an iPadOS. Is there anything similar to this that will work on VisionOS?
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Mar ’25
A question about adding grounding shadow in visionPro
I want adding grounding shadow on my Entity in RealityView on visionPro. However it seems that the shadow can only appear on another Entity. So I using plane detection in ARKit and add a transparent plane on it to render shadow. let planeEntity = ModelEntity(mesh: .generatePlane(width: anchor.geometry.extent.width, height: anchor.geometry.extent.height), materials: [material]) planeEntity.components.set(OpacityComponent(opacity: 0.0)) But sometimes there will be a border around my Entityon the plane. I do not know why it will happen, and I want remove the border.
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Mar ’25
Human pose detection failing on Vision Pro
Hi! I attempted to run a sample project for detecting human pose in photos, which can be found here: https://developer.apple.com/documentation/vision/detecting-human-body-poses-in-3d-with-vision The project works perfectly when run on my Macbook Pro M1, but it fails on Apple Vision Pro. After selecting the photo an endless loading screen is presented and the following output is produced in the console: Failed to initialize 2D Detection Algorithm. Failed to initialize 2D Pose Estimation Algorithm. Failed to initialize algorithm modules Network path is nil: (null) Failed to initialize 2D Detection Algorithm. Failed to initialize 2D Pose Estimation Algorithm. Failed to initialize algorithm modules Unable to perform the request: Error Domain=com.apple.Vision Code=9 "Async status object reported as failed but without an error" UserInfo={NSLocalizedDescription=Async status object reported as failed but without an error}. de-activating session 70138 after timeout It seems that VNDetectHumanBodyPose3DRequest is failing on Vision Pro for some reason. Are there any additional requirements for running Vision framework on VisionOS, that I might be missing?
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Mar ’25
The Question Of Two ARView Together
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.
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Mar ’25
[VisionPro] Placing virtual entities around my arm
Hi everyone, I'm developing a MR Vision Pro app where I’d like to anchor virtual objects (such as UI elements) around the user's arm. However, I’ve noticed that Vision Pro seems to mask out the area where the user’s real arm is, hiding virtual content in that region so that you see your real arm. Is there a way to render virtual elements on the user's arm—so that it looks like the object is placed directly on the arm despite the real-world passthrough? I was hoping there might be a way to adjust the depth or behavior of this masked-out region. Any insights or workarounds would be greatly appreciated! Thanks :)
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Mar ’25
Using vision pro to detect distance to real life objects
Is it possible to detect distance from the vision pro to real live objects and people? I tried using scene.raycast to perform a raycast forward from the center of the viewport, but it doesn't seem to react to real life objects, only entities. I see mentioned here: https://developer.apple.com/forums/thread/776807?answerId=829576022#829576022, that a raycast with scene reconstruction should allow me to measure that distance, as long as the object is non-moving. How could I accomplish that?
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Apr ’25
Apply mesh to real world people.
As far as I know, Apple hasn’t opened access to the Vision Pro camera for developers yet, so I’m trying to find possible workarounds within the current capabilities. I’m wondering if there’s any way to apply a mesh to a person in the scene in Vision Pro, or if there’s an alternative approach to roughly detect a human shape in front of the user?
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Apr ’25
ARKit Planes do not appear where expected on visionOS
I'm using ARKitSession and PlaneDetectionProvider to detect planes. I have a basics process to create an entity for each detected plane. Each one will get a random color for the material. Each plane is sized based on the bounds of the anchor provided by ARKit. let mesh = MeshResource.generatePlane( width: anchor.geometry.extent.width, depth: anchor.geometry.extent.height ) Then I'm using this to position each entity. entity.transform = Transform(matrix: anchor.originFromAnchorTransform) This seems to be the right method, but many (not all) planes are not where they should be. The sizes look OK, but the X and Y positions off. Take this large green plane on the wall. It should span the entire wall, but it is offset along the X position so that it is pushed to the left from where the center of the anchor is. When I visualize surfaces using the Xcode debugging tools, that tool reports the planes where I'd expect them to be. Can you see what I'm getting wrong here? Full code below struct Example068: View { @State var session = ARKitSession() @State private var planeAnchors: [UUID: Entity] = [:] @State private var planeColors: [UUID: Color] = [:] var body: some View { RealityView { content in } update: { content in for (_, entity) in planeAnchors { if !content.entities.contains(entity) { content.add(entity) } } } .task { try! await setupAndRunPlaneDetection() } } func setupAndRunPlaneDetection() async throws { let planeData = PlaneDetectionProvider(alignments: [.horizontal, .vertical, .slanted]) if PlaneDetectionProvider.isSupported { do { try await session.run([planeData]) for await update in planeData.anchorUpdates { switch update.event { case .added, .updated: let anchor = update.anchor if planeColors[anchor.id] == nil { planeColors[anchor.id] = generatePastelColor() } let planeEntity = createPlaneEntity(for: anchor, color: planeColors[anchor.id]!) planeAnchors[anchor.id] = planeEntity case .removed: let anchor = update.anchor planeAnchors.removeValue(forKey: anchor.id) planeColors.removeValue(forKey: anchor.id) } } } catch { print("ARKit session error \(error)") } } } private func generatePastelColor() -> Color { let hue = Double.random(in: 0...1) let saturation = Double.random(in: 0.2...0.4) let brightness = Double.random(in: 0.8...1.0) return Color(hue: hue, saturation: saturation, brightness: brightness) } private func createPlaneEntity(for anchor: PlaneAnchor, color: Color) -> Entity { let mesh = MeshResource.generatePlane( width: anchor.geometry.extent.width, depth: anchor.geometry.extent.height ) var material = PhysicallyBasedMaterial() material.baseColor.tint = UIColor(color) let entity = ModelEntity(mesh: mesh, materials: [material]) entity.transform = Transform(matrix: anchor.originFromAnchorTransform) return entity } }
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Apr ’25