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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RoomPlan - The delegate of ARSession is retaining x ARFrames
Hi, I'm encountering an issue in our app that uses RoomPlan and ARsession for scanning. After prolonged use—especially under heavy load from both the scanning process and other unrelated app operations—the iPhone becomes very hot, and the following warning begins to appear more frequently: "ARSession <0x107559680>: The delegate of ARSession is retaining 11 ARFrames. The camera will stop delivering camera images if the delegate keeps holding on to too many ARFrames. This could be a threading or memory management issue in the delegate and should be fixed." I was able to reproduce this behavior using Apple’s RoomPlanExampleApp, with only one change: I introduced a CPU-intensive workload at the end of the startSession() function: DispatchQueue.global().asyncAfter(deadline: .now() + 5) { for i in 0..<4 { var value = 10_000 DispatchQueue.global().async { while true { value *= 10_000 value /= 10_000 value ^= 10_000 value = 10_000 } } } } I suspect this is some RoomPlan API problem that's why a filed an feedback: 17441091
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May ’25
How to obtain video streams from the digital space included in VisionPro after applying for the "Enterprise API"?
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)) } } }
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Apr ’25
Partial Occlusion Material
I am looking for a material that functions in the same way that Occlusion Material does, except that it only partially occludes whatever is behind it. One way that I have thought of doing this was to change the opacity of the entity that was covered in Occlusion Material, however this did not change anything. Please let me know if this is possible.
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Apr ’25
Convert entity to image
VisionPro 开发,XCode,我想在窗口中找到一个显示模型的图片。这个模型可以改变它的材料,它不是唯一的形象,它正在改变。如何将此模型转换为图像
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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
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
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
[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
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
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
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
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
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
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