Hi, is there a way to track feet in a visionOS app in an immersive space? I want the whole body to be visible in VR, and I want to know if the user touches an object with their foot.

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?

We applied for the visionOS enterprise permission license, which can help us improve object tracking capabilities on Vision Pro. However, we are unsure how to use it in Unity, specifically how to implement object tracking in Unity and increase the tracking speed.

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?

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?

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.

Hi, I'm playing now with hand tracking. I want to get position of hand inside a system update function. I was not sure if transform I'm getting from hand attached AnchorEntity (with trackingMode: .predicted) would give same results as handAnchors(at:) from hand tracking provider, so I started to read them both and compare. For handAnchors i tried using context.scene.timebase.sourceTimebase!.sourceClock!.time.seconds and CACurrentMediaTime() as timestamp source. They seem to use exactly same clock, so that doesn't matter, but: for some reason update handler is always called twice with same context.deltaTime, but first time the query finds 0 entities, second time it finds them all. The query is the standard EntityQuery(where: .has(MyComponent.self)) and in update (matching: Self.query, updatingSystemWhen: .rendering). Here's part of logs: System update called, entity count: 0, dt: 0.01000458374619484, absTime: 4654.222593541 System update called, entity count: 11, dt: 0.01000458374619484, absTime: 4654.22262525 System update called, entity count: 0, dt: 0.009999999776482582, absTime: 4654.249390875 System update called, entity count: 11, dt: 0.009999999776482582, absTime: 4654.249425 accounting for the double update calling I started to calculate time delta of absolute time between calls and they're most of the time much bigger, or much smaller than advertised by system's context.deltaTime, only sometimes they kind of match, for example: system: (dt: 0.01000458374619484) scene : (dt: 0.021419291667371) (absTime: 4654.222628125001) and the very next call system: (dt: 0.010009 166784584522) scene : (dt: 0.0013097083328830195) (absTime: 4654.223937833334) but sometimes system: (dt: 0.009999999776482582) scene : (dt: 0.009 112249999816413) (absTime: 4654.351299 166668) Shouldn't those be more or less equal, or am I missing something? In the end it seems that getting hand position from AnchorEntity and with handAnchors(at:) gives kind of same results, but at different time points, so I'd love to understand what's the correct way to use them and why time flows differently :). --Edit-- P.S. Had to put spaces everywhere in logs between "9" and "1", otherwise post was blocked due to "sensitive content" :D

Using the example code posted here: https://developer.apple.com/documentation/visionOS/tracking-images-in-3d-space I can register multiple ReferenceImage s with a ImageTrackingProvider, but only one updates at a time - to have realtime updating, I can only have one ImageAnchor in my field of view at a time. Is it possible to track multiple imageAnchors at the same time in the same field of view? As in having several ImageAnchor's tracked and entities updated to the transforms of the anchor in the same frame/moment from the Apple Vision Pro?

Hi 26 beta guys, I have apps using ARKit. In iPadOS 26 beta, ARKit stops working after switching to other apps. how to: Enable WindowMode in iPadOS 26 Launch my app and start ARSession Switch to another app (preference app, etc.) Switch back to my app AR stops updating camerafeed. I debug printed ARSessionDelegate, and found that after sessionWasInterrupted was called, sessionInterruptionEnded was never called. sessionInterruptionEnded is called if WindowMode disabled. Is this just a bug for 26 beta? I suspect there is similar problem with non-AR camera. Any idea?

Hello, I am trying to develop an app that broadcasts what the user sees via Apple Vision Pro. I am a graduate student studying at the university. And I have two problems, If I want to use passthrough in screen capture (in VisionOS), do I have to join Apple Developer Enterprise Program to get Enterprise API? and Can I buy Apple Developer Enterprise Program (Enterprise API) with my university account? Have any of you been able to do this? Thank you

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.

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.

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?

i'd like to have a little bit control over the transparency of the videomaterial. is there any way to prepare a shadergraph unlit shader and use it with the videomaterial.

Hardware Specifications Regarding the LiDAR scanner in the iPhone 13/14/15/16/17 Pro series, could you please provide the following technical details for academic verification: Point Cloud Density / Resolution: The effective resolution of the depth map. Sampling Frequency: The sensor's refresh rate. Accuracy Metrics: Official tolerance levels regarding depth accuracy relative to distance (specifically within 0.5m – 2m range). Data Acquisition Methodology For a scientific thesis requiring high data integrity: Does Apple recommend a custom ARKit implementation over third-party applications (e.g., Polycam) to access raw depth data? I need to confirm if third-party apps typically apply smoothing or post-processing that would obscure the sensor's native performance, which must be avoided for my error analysis.

I have already add liscene and entitlement for Passthrough in screen capture, but still get black background instaed of real world. Do you have any idea ? I've been stuck with this question for a long time 😢

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.

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?

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 } }

In several visionOS apps, we readjust our scenes to the user's eye level (their heads). But, we have encountered issues whereby the WorldTrackingProvider returns bad/incorrect positions for the first x number of frames. See below code which you can copy paste in any Immersive Space. Relaunch the space and observe the numberOfBadWorldInfos value is inconsistent. a. what is the most reliable way to get the devices's position? b. is this indeed a bug? c. are we using worldInfo improperly? d. as a workaround, in our apps we set to 10 the number of frames to let pass before using worldInfo, should we set our threshold differently? import ARKit import Combine import OSLog import SwiftUI import RealityKit import RealityKitContent let SUBSYSTEM = Bundle.main.bundleIdentifier! struct ImmersiveView: View { let logger = Logger(subsystem: SUBSYSTEM, category: "ImmersiveView") let session = ARKitSession() let worldInfo = WorldTrackingProvider() @State var sceneUpdateSubscription: EventSubscription? = nil @State var deviceTransform: simd_float4x4? = nil @State var numberOfBadWorldInfos = 0 @State var isBadWorldInfoLoged = false var body: some View { RealityView { content in try? await session.run([worldInfo]) sceneUpdateSubscription = content.subscribe(to: SceneEvents.Update.self) { event in guard let pose = worldInfo.queryDeviceAnchor(atTimestamp: CACurrentMediaTime()) else { return } // `worldInfo` does not return correct values for the first few frames (exact number of frames is unknown) // - known SO: https://stackoverflow.com/questions/78396187/how-to-determine-the-first-reliable-position-of-the-apple-vision-pro-device deviceTransform = pose.originFromAnchorTransform if deviceTransform!.columns.3.y < 1.6 { numberOfBadWorldInfos += 1 logger.warning("\(#function) \(#line) deviceTransform.columns.3.y \(deviceTransform!.columns.3.y), numberOfBadWorldInfos \(numberOfBadWorldInfos)") } else { if !isBadWorldInfoLoged { logger.info("\(#function) \(#line) deviceTransform.columns.3.y \(deviceTransform!.columns.3.y), numberOfBadWorldInfos \(numberOfBadWorldInfos)") } isBadWorldInfoLoged = true // stop logging. } } } } }