it looks like one week after accepting as a nearby other AVP device... it expires since we are providing our clients for a timeless app to walk inside archtiecture, it's a shame that not technical staff should connect every week 5 devices to work together is there any roundabout for this issue or straight to the wishlist ? thanks for the support !!

How do I configure a Unity project for a fully immersive VR app on Apple Vision Pro using Metal Rendering, and add a simple pinch-to-teleport-where-looking feature? I've tried the available samples and docs, but they don't cover this clearly (to me). So far, I've reviewed Unity XR docs, Apple dev guides, and tutorials, but most emphasize spatial apps. Metal examples exist but don't include teleportation. Specifically: visionOS sample "XRI_SimpleRig" – Deploys to device/simulator, but no full immersion or teleport. XRI Toolkit sample "XR Origin Hands (XR Rig)" – Pinch gestures detect, but not linked to movement. visionOS "XR Plugin" sample "Metal Sample URP" – Metal setup works, but static scene without locomotion. I'm new in Unity XR development and would appreciate a simple, standalone scene or document focused only on the essentials for "teleport to gaze on pinch" in VR mode—no extra features. I do have some experience in unreal, world toolkit, cosmo, etc from the 90's and I'm ok with code. Please include steps for: Setting up immersive VR (disabling spatial defaults if needed). Integrating pinch detection with ray-based teleport. Any config changes or basic scripts. Project Configuration: Unity Editor Version: 6000.2.5f1.2588.7373 (Revision: 6000.2/staging 43d04cd1df69) Installed Packages: Apple visionOS XR Plugin: 2.3.1 AR Foundation: 6.2.0 PolySpatial XR: 2.3.1 XR Core Utilities: 2.5.3 XR Hands: 1.6.1 XR Interaction Toolkit: 3.2.1 XR Legacy Input Helpers: 2.1.12 XR Plugin Management: 4.5.1 Imported Samples: Apple visionOS XR Plugin 2.3.1: Metal Sample - URP XR Hands 1.6.1 XR Interaction Toolkit 3.2.1: Hands Interaction Demo, Starter Assets, visionOS Build Platform Settings: Target: Apple visionOS App Mode: Metal Rendering with Compositor Services Selected Validation Profiles: visionOS Metal Documentation: Enabled Xcode Version: 26.01 visionOS SDK: 26 Mac Hardware: Apple M1 Max Target visionOS Version: 20 or 26 Test Environment: Model: Apple Vision Pro, visionOS 26.0.1 (23M341), Apple M1 Max No errors in builds so far; just missing the desired functionality. Thanks for a complete response with actionable steps.

Hi everyone, I’m currently using the visionOS Enterprise APIs, and I noticed in the official documentation that: However, I couldn’t find any clear instructions on how to actually renew the license. What is the correct process to renew a visionOS Enterprise API license? Do I need to submit a new entitlement request again to renew? Is there any official step-by-step guide or documentation for renewal? Any advice or shared experience would be greatly appreciated 🙏 Thank you!

I've been experimenting with the Muse pen and understand that it can be accessed by my app through a SpatialTrackingSession, but is there any current or planned support for devices like this as for general UI input like game controllers are? For example, using the button as a tap analogue for SwiftUI views.

I noticed that when I drag the menu window in an Immersive View, the entities behind it becomes semi-transparent, and the boundary between virtual and real-world objects is very pronounced. May I ask how does VisionOS implement this effect? Is there any API or technique I can use in my own code to enable the same semi-transparent overlay - even when I am not dragging the menu window?

I'm currently implementing 180° / 360° immersive video for my app. I easily implemented 360° by just applying VideoMaterial to flipped sphere. But I'm stuck at 180°. I'm trying to implement by applying VideoMaterial to hemisphere (half sphere). I want to make VideoMaterial to be visible half front sphere and half back sphere transparent / clear. Would there be any advice / information / idea to implement this? Your help would be grateful.

画面亮度存在无规律动态波动（时亮时暗），且无手动控制入口，导致商品颜色还原失真、主播面部曝光异常（过曝 / 欠曝），严重影响直播展示效果。 期望 "· 优化直播模式的自动曝光算法，提升复杂光线环境下的亮度稳定性； · 增加 “直播模式” 专属亮度锁定功能，支持手动设定亮度参数并锁定，满足直播场景下的画质可控需求。 "

I want to let users place 2D/3D “artworks” on detected walls and have them reappear in exactly the same real‑world spot after quitting and relaunching the app (like widgets do, but for my own entities).Environment: Xcode 26, visionOS 2.0, RealityKit + ARKitSession/WorldTrackingProvider Entities are parented to a holder that’s aligned to a wall via plane/mesh raycasts. What I’ve tried: Create a WorldAnchor at placement, save UUID + full 4×4 transform On next launch, re-create the WorldAnchor (or set the saved transform) and attach the entity Gate restore on relocalization/mesh updates and disable all raycast/search after restore Issue: After relaunch, placement still resolves relative to current device pose, not the same wall position. Questions: Is there a public API in visionOS 2.0 to persist app‑managed world anchors across sessions (room‑fixed), e.g., AnchorStore or equivalent? If not, what’s the recommended pattern to reliably restore wall‑anchored content? Are persistence features mentioned for widgets/windows available to third‑party RealityKit entities?

直播过程中需同时操作 Vision Pro（拍摄）、Mac（推流）、中控台（画面切换），无统一控制入口，调节 3D 模型、校准画质等操作需在多设备间切换，易出错且效率低。 期望 针对直播场景，提供桌面端专属控制软件，支持一站式管理 Vision Pro 的拍摄参数、3D 模型切换、虚实融合效果等，实现多设备协同操作的可视化、便捷化。

Hi all, I am currently developing a game in Unity for VisionOS and I'd prefer to use the PSVR2 controllers as a source of the raycast for menu selection instead of the default VisionOS gaze for my specific use case. Is there a way to access the IMU of PSVR2 controllers to do this instead of just using eyegaze + controller click for selection? Is there a specific configuration for GCController from within Unity maybe? Thank you!

Hi Apple Developer Community, I'm developing an eye-tracking application using ARKit's ARFaceTrackingConfiguration and ARFaceAnchor.blendShapes for gaze detection using Xcode. I'm experiencing several calibration and accuracy issues and would appreciate insights from the community. Current Implementation Using ARFaceAnchor.blendShapes (.eyeLookUpLeft, .eyeLookDownLeft, .eyeLookInLeft, .eyeLookOutLeft, etc.) Implementing custom sensitivity curves and smoothing algorithms Applying baseline correction and coordinate mapping Using quadratic regression for calibration point mapping Issues I'm Facing 1. Calibration Mismatch Red dot position doesn't align with where I'm actually looking Significant offset between intended gaze point and actual cursor position Calibration seems to drift or become inaccurate over time 2. Extreme Eye Movement Requirements Need to make exaggerated eye movements to reach screen edges/corners Natural eye movements don't translate to proportional cursor movement Difficulty reaching certain screen regions even with calibration 3. Sensitivity and Stability Issues Cursor jitters or jumps around when looking at center Too much sensitivity to micro-movements Inconsistent behavior between calibration and normal operation 4. I also noticed that tracking on calibration screen as well as tracking on reading screen works better as expected when head movement is there, but I do not want much head movement. I want tracking with normal eye movement while reading an Ebook. Primary Question: Word-Level Eye Tracking Feasibility Is word-level eye tracking (tracking gaze as users read through individual words in an ebook) technically feasible with current iPhone/iPad hardware? I understand that Apple's built-in eye tracking is primarily an accessibility feature for UI navigation. However, I'm wondering if the TrueDepth camera and ARKit's eye tracking capabilities are sufficient for: Tracking natural reading patterns (left-to-right, line-by-line progression) Detecting which specific words a user is looking at Maintaining accuracy for sustained reading sessions (15-30 minutes) Working reliably across different users and lighting conditions Questions for the Community Hardware Limitations: Are iPhone/iPad TrueDepth cameras capable of the precision needed for word-level tracking, or is this beyond current hardware capabilities? Calibration Best Practices: What calibration strategies have worked best for accurate gaze mapping? How many calibration points are typically needed? Reading-Specific Challenges: Are there particular challenges when tracking reading behavior vs. general gaze tracking? Alternative Approaches: Are there better approaches than ARKit blend shapes for this use case? Current Setup Devices: iPhone 14 Pro iOS Version: iOS 18.3 ARKit Version: Latest available Any insights, experiences, or technical guidance would be greatly appreciated. I'm particularly interested in hearing from developers who have worked on similar eye tracking applications or have experience with the limitations and capabilities of ARKit's eye tracking features. Thank you for your time and expertise!

After updating to visionOS 26.2 Beta 2 (and Beta 3), I'm unable to establish a spatial connection to Vision Pro. This was working fine before the update. To test, I've created a fresh spatialApp project from the Xcode template with zero modifications, but I'm hitting the same issue - the Vision Pro is discovered but won't connect. Am I forgetting to update the config somewhere? Any ideas what might be causing this and how to fix it? Thanks! Warning: -[NSWindow makeKeyWindow] called on <NSWindow: 0xa1f811900> windowNumber=1b9 which returned NO from -[NSWindow canBecomeKeyWindow]. ((processConfiguration != nil && configuration != nil) || (processConfiguration == nil && configuration == nil)) - /AppleInternal/Library/BuildRoots/4~CBS0ugAIF7BrQZjLe6r0lhPXO4GJmNDTovxYoV0/Library/Caches/com.apple.xbs/Sources/ExtensionKit/ExtensionKit/Source/HostViewController/Internal/EXHostSessionDriver.m:80: `processConfiguration` and `configuration` must be both non-nil or both nil Unable to obtain a task name port right for pid 415: (os/kern) failure (0x5) CCContextDeviceGroup.mm(291):+[CCContextDeviceGroup checkBinaryArchivesForDevice:withBundle:]: Failed to find any binary shader archive

I'm experiencing an issue where all RealityView content disappears when the user selects "Lock In Place" from the window management menu (long press on close button). "Follow Me" works correctly and this happens in Testflight builds only not reproducible when I run locally I have reproduced this with a minimal project containing nothing but a simple red cube — no custom anchors, no app state, no dependencies. Steps to Reproduce: Open an ImmersiveSpace A red cube is placed 1m in front of the user via RealityView Long press the X button on any floating window Select "Lock In Place" The cube disappears immediately Expected: Cube remains visible after window is locked Actual: Cube disappears. Note: "Follow Me" does NOT reproduce this issue. Minimal reproducible code: struct ImmersiveView: View { var body: some View { RealityView { content in let cube = ModelEntity( mesh: .generateBox(size: 0.3), materials: [SimpleMaterial(color: .red, isMetallic: false)] ) cube.setPosition(SIMD3(0, 1.5, -1), relativeTo: nil) content.add(cube) } } } Device: Apple Vision Pro visionOS version: Vision OS 26.2 (23N301) Xcode version: Version 26.3 (17C529) Is this a known issue? Is there a recommended workaround to preserve RealityView content during Lock In Place transitions? Thank you!

Hi I’m using Vision Pro m5 and developer strap 2. When I connect it to my Mac, it still shows 480M… all systems are using latest firmware… Anyone knows why?

Hello, I know that Apple bans user from accessing to raw gaze data like gaze vector (x,y,z) or eye position. But when you do research on gaze data, how did you collect them from vision pro? Is there any App to solve this problem?

Is there any size guidance for the new WidgetKit integration on visionOS? The Widget HIG provides dimensions for all the widget size classes on iOS, iPadOS and watchOS, but has not been updated for visionOS. https://developer.apple.com/design/human-interface-guidelines/widgets My potential widget use case is image based, so I'm looking to better understand the optimal size, resolution etc I would need, particularly for the new visionOS specific extra large widget size.

We’re trying to build a custom player for Unity. For this, we’re using AVPlayer with AVPlayerItemVideoOutput to get textures. However, we noticed that playback is not smooth and the stream often freezes. For testing, we used this 8K video: https://deovr.com/nwfnq1 The video was played using the following code: @objc public func playVideo(urlString: String) { guard let url = URL(string: urlString) else { return } let pItem = AVPlayerItem(url: url) playerItem = pItem pItem.preferredForwardBufferDuration = 10.0 let pixelBufferAttributes: [String: Any] = [ kCVPixelBufferPixelFormatTypeKey as String: kCVPixelFormatType_420YpCbCr8BiPlanarVideoRange, kCVPixelBufferMetalCompatibilityKey as String: true, ] let output = AVPlayerItemVideoOutput( pixelBufferAttributes: pixelBufferAttributes ) pItem.add(output) playerItemObserver = pItem.observe(\.status) { [weak self] pItem, _ in guard pItem.status == .readyToPlay else { return } self?.playerItemObserver = nil self?.player.play() } player = AVPlayer(playerItem: pItem) player.currentItem?.preferredPeakBitRate = 35_000_000 } When AVPlayerItemVideoOutput is attached, the video stutters and the log looks like this: 🟢 Playback likely to keep up 🟡 Buffer ahead: 4.08s | buffer: 4.08s 🟡 Buffer ahead: 4.08s | buffer: 4.08s 🟡 Buffer ahead: -0.07s | buffer: 0.00s 🟡 Buffer ahead: 2.94s | buffer: 3.49s 🟡 Buffer ahead: 2.50s | buffer: 4.06s 🟡 Buffer ahead: 1.74s | buffer: 4.30s 🟡 Buffer ahead: 0.74s | buffer: 4.30s 🟠 Playback may stall 🛑 Buffer empty 🟡 Buffer ahead: 0.09s | buffer: 4.30s 🟠 Playback may stall 🟠 Playback may stall 🛑 Buffer empty 🟠 Playback may stall 🟣 Buffer full 🟡 Buffer ahead: 1.41s | buffer: 1.43s 🟡 Buffer ahead: 1.41s | buffer: 1.43s 🟡 Buffer ahead: 1.07s | buffer: 1.43s 🟣 Buffer full 🟡 Buffer ahead: 0.47s | buffer: 1.65s 🟠 Playback may stall 🛑 Buffer empty 🟡 Buffer ahead: 0.10s | buffer: 1.65s 🟠 Playback may stall 🟡 Buffer ahead: 1.99s | buffer: 2.03s 🟡 Buffer ahead: 1.99s | buffer: 2.03s 🟣 Buffer full 🟣 Buffer full 🟡 Buffer ahead: 1.41s | buffer: 2.00s 🟡 Buffer ahead: 0.68s | buffer: 2.27s 🟡 Buffer ahead: 0.09s | buffer: 2.27s 🟠 Playback may stall 🛑 Buffer empty 🟠 Playback may stall When we remove AVPlayerItemVideoOutput from the player, the video plays smoothly, and the output looks like this: 🟢 Playback likely to keep up 🟡 Buffer ahead: 1.94s | buffer: 1.94s 🟡 Buffer ahead: 1.94s | buffer: 1.94s 🟡 Buffer ahead: 1.22s | buffer: 2.22s 🟡 Buffer ahead: 1.05s | buffer: 3.05s 🟡 Buffer ahead: 1.12s | buffer: 4.12s 🟡 Buffer ahead: 1.18s | buffer: 5.18s 🟡 Buffer ahead: 0.72s | buffer: 5.72s 🟡 Buffer ahead: 1.27s | buffer: 7.28s 🟡 Buffer ahead: 2.09s | buffer: 3.03s 🟡 Buffer ahead: 4.16s | buffer: 6.10s 🟡 Buffer ahead: 6.66s | buffer: 7.09s 🟡 Buffer ahead: 5.66s | buffer: 7.09s 🟡 Buffer ahead: 4.66s | buffer: 7.09s 🟡 Buffer ahead: 4.02s | buffer: 7.45s 🟡 Buffer ahead: 3.62s | buffer: 8.05s 🟡 Buffer ahead: 2.62s | buffer: 8.05s 🟡 Buffer ahead: 2.49s | buffer: 3.53s 🟡 Buffer ahead: 2.43s | buffer: 3.38s 🟡 Buffer ahead: 1.90s | buffer: 3.85s We’ve tried different attribute settings for AVPlayerItemVideoOutput. We also removed all logic related to reading frame data, but the choppy playback still remained. Can you advise whether this is a player issue or if we’re doing something wrong?

I have been trying to implement this look where a component looks "pushed in" but I could not find any resources regarding this effect. The closest I got was a combination of a RoundedRectangle and .glassBackgroundEffect(), but this makes the view look pushed out, instead of pushed in. I was wondering if this is achievable in SwiftUI level, or even in UIKit level.

Has anyone had success with MeshInstancesComponent? I tried to follow the sample code from What's New in RealityKit but it wouldn't compile. I was able to use one of the init overloads to get it to compile, but using it crashes both my device and the simulator. Even with one instance.

I want to record animation with entity, then export it to .usd without using Reality Composer Pro, how to achieve that?