Hi everyone, I’m currently using the RoomPlan API, which has been working reliably until recently. However, I’ve started encountering an intermittent error and I’m trying to understand what might be causing it. The error is triggered in the ARSession observer method: session(_ session: ARSession, didFailWithError error: Error) It has occurred on at least two devices: iPhone 14 Pro iPhone 17 Pro Here’s the full error message: ARSession failed domain=com.apple.arkit.error code=102 desc=Required sensor failed. userInfo=["NSLocalizedFailureReason": A sensor failed to deliver the required input., "NSUnderlyingError": Error Domain=AVFoundationErrorDomain Code=-11819 "Cannot Complete Action" UserInfo={NSLocalizedDescription=Cannot Complete Action, NSLocalizedRecoverySuggestion=Try again later.}, "NSLocalizedDescription": Required sensor failed.] This seems to indicate that a required sensor (likely LiDAR or camera) failed to provide input, but I’m not sure what’s causing it or why it happens only occasionally. Has anyone experienced something similar or has insight into possible causes or fixes? Thanks in advance!

I have an iOS app that uses RealityView to display some models and interact with them, and the app uses regular iOS app navigations, then a challenge I'm facing is how to maintain multiple RealityView on multiplescreens. For example Screen A has a RealityView, and then I navigate to Screen B (also has a RealityView) using stack based navigation, when I do so I got a crash -[MTLDebugRenderCommandEncoder validateCommonDrawErrors:]:5970: failed assertion `Draw Errors Validation Fragment Function(fsRealityPbr): argument envProbeTable[0] from Buffer(7) with offset(0) and length(16) has space for 16 bytes, but argument has a length(864). Fragment Function(fsRealityPbr): incorrect type of texture (MTLTextureType2D) bound at Texture binding at index 20 (expect MTLTextureTypeCubeArray) for envProbeDiffuseArray[0]. Interestingly this crash only happens when debugging with Xcode, not happens when the app runs on its own. I'm not sure what I'm doing is anti-pattern or it's some Xcode debugging limitation.

I want to: Run ARKit on the main rear camera, and while it's running shoot high resolution pictures on the wide camera, without disturbing the AR tracking. Is this possible?

I’ve seen, mainly in discussions with AIs, that ARFaceTrackingConfiguration uses the same technology as Face ID and therefore should work in complete darkness. However, I haven’t been able to achieve this. Does anyone know if this is actually true? I'm using an iPhone 16 to test, and the Face ID works well in darkness.

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.

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 😢

I have a ModelEntity with GroundingShadowComponent entity.enumerateHierarchy { child, stop in child.components.set(GroundingShadowComponent(castsShadow: true)) } When I set it on the table, I can see the shadow on the table, even if I disable plane detection. However, when I enable plane detection, and the plane's material is OcclusionMaterial. I can not see the shadow on the table. As far as I know, receivesDynamicLighting is not usable in VisionOS. So how can I cast shadow on OcclusionMaterial in VisionOS? Or rather, is it possible to have the shadow properly displayed on the tabletop while ensuring that I cannot see objects beneath the table through it?

Dear Apple Team, I’m a high school student (vocational upper secondary school) working on my final research project about LiDAR sensors in smartphones, specifically Apple’s iPhone implementation. My current understanding (for context): I understand Apple’s LiDAR uses dToF with SPAD detectors: A VCSEL laser emits pulses, a DOE splits the beam into a dot pattern, and each spot’s return time is measured separately → point cloud generation. My specific questions: How many active projection dots does the LiDAR projector have in the iPhone 15 Pro vs. iPhone 12 Pro? Are the dots static or do they shift/move over time? How many depth measurement points does the system deliver internally (after processing)? What is the ranging accuracy (cm-level precision) of each measurement point? Experimental background: Using an IR night vision camera, I counted approximately 111 dots on the 15 Pro vs. 576 dots on the 12 Pro. Do these match the internal specifications? Photos of my measurements are available if helpful. Contact request: I would be very grateful if you could connect me with an Apple engineer or ARKit specialist who works with LiDAR technology. I would love to ask follow-up questions directly and would be happy to provide my contact details for this purpose. These specifications would be essential for my research paper. Thank you very much in advance! Best regards, Max! Vocational Upper Secondary School Hans-Leipelt-Schule Donauwörth Research Project: “LiDAR Sensor Technology in Smartphones”

ARSession provides video stream from the wide angle camera. If ARSession uses the ultra wide camera at the same time, ARSession may provide video stream from that camera, otherwise AVCaptureSession with an ultra wide camera should be allowed to launch. It would be very very useful if we can access different cameras while ARSession is running. We'd like to cooperate with you if possible. Steps to reproduce: run an AVCaptureSession and then run an ARSession. The AVCaptureSession stops.

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.

The samples shown in volumetric work great but moving to an immersive experience the pen physical buttons don't work when you're focusing to an entity with a collision.

I am using AccessoryTrackingProvider from ARKit to get the transform of the PSVR2 controller via originFromAnchorTransform of the AccessoryAnchor. I also am trying to use AnchorEntity on the controller using RealityKit However, none of the three options for Accessory.LocationName, which should be used to define the AnchorEntity target, seem to match the position on the controller which is being sent from ARKit. The picture attached is showing two transforms: RealityKit - using .gripSurface to define the AnchoringComponent.Target.accesssory location. ARKit - using originFromAnchorTransform for AccessoryTrackingProvider. They are not aligned at the same point. As for the other options of Accessory.LocationName, using .aim is located at the tip of the controller and .grip is the same position as .gripSurface but with a different orientation. I am wondering why there is not an option for Accessory.LocationName that actually matches the transform captured by ARKit?

Problem Description: I am developing an application that runs in the Shared Space on Apple Vision Pro using Unity. When using the UI ScrollView (Scroll View) component, I found that the Mask / RectMask2D does not function in the Shared Space. Scrolling content is not masked or cropped; it extends beyond the view boundary and is displayed directly. The same UI works correctly across platforms such as Unity Editor, iOS, and macOS, but the issue only occurs in the shared space of Vision Pro. Reproduction steps: Create a ScrollView in Unity. Add a Mask or RectMask2D to the viewport. Deploy the application to Apple Vision Pro and run it in Shared Space mode. Sliding content will not be clipped by the mask, and the masked area is entirely ineffective. Expected behavior: The content of ScrollView should be properly clipped by Mask / RectMask2D and should not render outside the mask boundary. Actual results: In the shared space of Vision Pro, the mask is ineffective, causing scrolling content to extend beyond the designated area and resulting in severe UI distortion. Environmental Information: Device: Apple Vision Pro Mode: Shared Space Unity Version: 6000.0.40f1 visionOS version: visionOS 26.0 Unity PolySpatial Version: 2.0.4 Impact This issue causes Unity UI to fail to display correctly on Vision Pro, preventing ScrollView from properly clipping content, which impacts the UI experience and interaction effects in practical applications. Expected Result: When running a Unity app in the shared space of visionOS, the Mask / RectMask2D of ScrollView functions correctly

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.

I'm capturing a room via RoomPlan API and would like to access the DepthMap(sceneDepth) or SmoothDepthMap(smoothedSceneDepth) from my own provided ARSession for RoomCaptureSession. But both depth maps are empty when handling the delegates. I have not found a solution yet. So is it even possible? Because i have not found any documentation of what RoomCaptureSession overwrites in the ARSession if I provide my own ARSession instance. Here is a example code snippet of what i'm trying to do: private let arSession = ARSession() private lazy var roomPlanCaptureSession = RoomCaptureSession(arSession: arSession) let arConfig = ARWorldTrackingConfiguration() //Create semantics for ARconfig which is used for ARSession var semantics: ARWorldTrackingConfiguration.FrameSemantics = [] if ARWorldTrackingConfiguration.supportsFrameSemantics(.sceneDepth) { semantics.insert(.sceneDepth) } if ARWorldTrackingConfiguration.supportsFrameSemantics(.smoothedSceneDepth) { semantics.insert(.smoothedSceneDepth) } arConfig.frameSemantics = semantics //set delegates roomPlanCaptureSession.delegate = self arSession.delegate = self //Check if device support for depthMap if ARWorldTrackingConfiguration.supportsFrameSemantics(.sceneDepth){ arSession.run(arConfig) } else{ print(".sceneDepth is unsupported.") } //run roomcapture scan config let captureConfig = RoomCaptureSession.Configuration() roomPlanCaptureSession.run(configuration: captureConfig) //trying to get sceneDepth public func session(_ session: ARSession, didUpdate frame: ARFrame) { print("session delegate capture: sceneDepth: \(String(describing: frame.sceneDepth))") //prints: session delegate capture: sceneDepth: nil also in this video from 2023 it is say that i can pass custom ARSession to my RoomPlan. Explore enhancements to RoomPlan - Video Quote 3:00: Here is the init and stop function in previous RoomPlan. And here is how you pass over a custom ARSession to init function. Any custom ARSession with ARWorldTrackingConfiguration will be honored inside RoomCaptureSession. anyway I welcome any input. maybe im doing something wrong. :)

I have an iOS app that can display a USDZ model downloaded from the Internet (and cached locally) via an ARView. I would like to light that model with an image based light (IBL) also downloaded from the Internet. However, as far as I can tell, ARView can only create an IBL from a resource that has been compiled into the Xcode project and loaded with EnvironmentResource(named:in:) or EnvironmentResource.load(named:in:). Is there a way to create an EnvironmentResource from an HDRI via a file URL to use in ARView in iOS?

Hi team, I believe I’ve found a registration issue between ARFrame.sceneDepth and ARFrame.capturedImage when using high-resolution frame capture on a 2022 iPad Pro (6th gen). When enabling high-resolution capture: if let highResFormat = ARWorldTrackingConfiguration.recommendedVideoFormatForHighResolutionFrameCapturing { config.videoFormat = highResFormat } … arView.session.captureHighResolutionFrame { ... } the depth map provided by ARFrame.sceneDepth no longer aligns correctly with the corresponding high-resolution capturedImage. This misalignment results in consistently over-estimated distance measurements in my app (which relies on mapping depth to 2D pixel coordinates). iPad Pro (6th gen): misalignment occurs only when capturing high-resolution frames. iPhone 16 Pro: depth is correctly registered for both standard and high-resolution captures. It appears the camera intrinsics, specifically the FOV, change between the “regular” resolution stream and the high-resolution capture on the iPad. My suspicion is that the depth data continues using the intrinsics of the lower resolution stream, resulting in an unregistered depth-to-RGB mapping. Once I have the iPad in hand again, I will confirm whether camera.intrinsics or FOV differ between the low-res and high-res frames. Is this a known issue with high-resolution frame capture on the 2022 iPad Pro? If not, I’m happy to provide some more thorough sample code. Thanks for your time!

My development team admin requested the Enterprise API for camera access on the vision pro. We got that granted, got a license for usage, and got instructions for integrating it with next steps. We did the following: Even when I try to download and run the sample project for "Accessing the Main Camera", and follow all the exact instructions mentioned here: https://developer.apple.com/documentation/visionos/accessing-the-main-camera I am just unable to receive camera frames. I added the capabilities, created a new provisioning profile with this access, added the entitlements to info.plist and entitlements, replaced the dummy license file with the one we were sent, and also have a matching bundle identifier and development certificate, but it is still not showing camera access for some reason. "Main Camera Access" shows up in our Signing & Capabilities tab, and we also added the NSMainCameraDescription in the Info.plist and allow access while opening the app. None of this works. Not on my app, and not on the sample app that I just downloaded and tried to run on the Vision Pro after replacing the dummy license file.

Hi there, I received an enterprise license file to include enhanced object tracking configuration for the Vision Pro. My account is part of the team which got the allowance from Apple to use this capability. Unfortunately, although I followed the guide, I do not find the Object Tracking capability when I try to add it to my project. There are other capabilities like Main Camera on the Vision Pro, but not for Object Tracking. I am using Xcode 26.1 and visionOS 26.1. What am I missing here? Thanks in advance, Matthias

I downloaded the official sample project “Accessing the Main Camera”, but I found that it’s not able to retrieve the camera feed on visionOS 26.1. After checking the debug logs, it seems the issue is caused by the system being unable to find the expected format. I tested on a device running visionOS 2, and the camera feed worked correctly — but only when using the sample code from the visionOS 2 version, not the current one. I also noticed that some of the APIs have changed between versions. Has anyone managed to successfully access the camera feed on visionOS 26.1?