We're developing a VisionOS application, where we would like to do product recognition (like food items). We have enterprise entitlements and therefore also main camera access for VisionOS. We send this live camera frames to a trained CoreML model where we will receive 2D coordinates from the model detection prediction. Now, we would like to create a 3D anchor on the detected items so it can be visible for user. The 3D anchor is going to be the class name of the detected item. How do we transform this 2D coordinate from the model prediction to a 3D anchor?

I have recently started testing ARKit on an iPhone 16 Pro and I have noticed that the AutoFocus reaction on this device is much slower than other devices. For example, if I point the camera to a close object AutoFocus takes 4-5 seconds to stabilize, the focal length is adjusted very very slowly. In some cases (although this is rare) AutoFocus seems almost stuck and requires a bit of device movement to trigger. This is quite problematic when using some ARKit features like Image and Object detection as the detection algorithms struggle with out-of-focus images. This problem is limited to ARKit. AutoFocus is significantly more responsive when the standard AVFoundation Camera API is used. This behavior is easy to reproduce with any of the ARKit samples like https://developer.apple.com/documentation/arkit/arkit_in_ios/content_anchors/tracking_and_visualizing_planes Is anybody else experiencing this problem?

Still don't understand why no one is clarifying about this Apple Video https://developer.apple.com/videos/play/wwdc2023/10111 At the end of this video, there's an incomplete tutorial about connecting a USDZ with mesh and Skeleton structure to the hand tracking system. No example project is linked, and no one is giving the community any clarification. Please can you help us to understand how to proceed?

I'm a novice in RealityKit and ARKit. I'm using ARKit in SwiftUI to show a cube with a number as shown below. import SwiftUI import RealityKit import ARKit struct ContentView : View { var body: some View { return ARViewContainer() } } #Preview { ContentView() } struct ARViewContainer: UIViewRepresentable { typealias UIViewType = ARView func makeUIView(context: UIViewRepresentableContext<ARViewContainer>) -> ARView { let arView = ARView(frame: .zero, cameraMode: .ar, automaticallyConfigureSession: true) arView.enableTapGesture() return arView } func updateUIView(_ uiView: ARView, context: UIViewRepresentableContext<ARViewContainer>) { } } extension ARView { func enableTapGesture() { let tapGestureRecognizer = UITapGestureRecognizer(target: self, action: #selector(handleTap(recognizer:))) self.addGestureRecognizer(tapGestureRecognizer) } @objc func handleTap(recognizer: UITapGestureRecognizer) { let tapLocation = recognizer.location(in: self) // print("Tap location: \(tapLocation)") guard let rayResult = self.ray(through: tapLocation) else { return } let results = self.raycast(from: tapLocation, allowing: .estimatedPlane, alignment: .any) if let firstResult = results.first { let position = simd_make_float3(firstResult.worldTransform.columns.3) placeObject(at: position) } } func placeObject(at position: SIMD3<Float>) { let mesh = MeshResource.generateBox(size: 0.3) let material = SimpleMaterial(color: UIColor.systemRed, roughness: 0.3, isMetallic: true) let modelEntity = ModelEntity(mesh: mesh, materials: [material]) var unlitMaterial = UnlitMaterial() if let textureResource = generateTextResource(text: "1", textColor: UIColor.white) { unlitMaterial.color = .init(tint: .white, texture: .init(textureResource)) modelEntity.model?.materials = [unlitMaterial] let id = UUID().uuidString modelEntity.name = id modelEntity.transform.scale = [0.3, 0.1, 0.3] modelEntity.generateCollisionShapes(recursive: true) let anchorEntity = AnchorEntity(world: position) anchorEntity.addChild(modelEntity) self.scene.addAnchor(anchorEntity) } } func generateTextResource(text: String, textColor: UIColor) -> TextureResource? { if let image = text.image(withAttributes: [NSAttributedString.Key.foregroundColor: textColor], size: CGSize(width: 18, height: 18)), let cgImage = image.cgImage { let textureResource = try? TextureResource(image: cgImage, options: TextureResource.CreateOptions.init(semantic: nil)) return textureResource } return nil } } I tap the floor and get a cube with '1' as shown below. The background color of the cube is black, I guess. Where does this color come from and how can I change it into, say, red? Thanks.

Since updating to iOS 26.0 (and confirmed on 26.1), ARBodyTrackingConfiguration no longer detects a valid ARBodyAnchor on devices with LiDAR (e.g., iPhone 15 Pro, iPhone 17 Pro Max). This issue reproduces in custom projects and Apple’s official sample “Capturing Body Motion in 3D”. The AR session runs normally, but the delegate call: func session(_ session: ARSession, didUpdate anchors: [ARAnchor]) never yields an ARBodyAnchor with valid joint transforms. All joints return nil when calling: body.skeleton.modelTransform(for: jointName) resulting in 0 valid joints per frame. Environment • Device: iPhone 17 Pro Max (LiDAR) • iOS: 26.0 / 26.1 • Xcode: 16.0 (stable) • Framework: ARKit + RealityKit • Configuration used: config.worldAlignment = .gravityAndHeading config.isAutoFocusEnabled = true config.environmentTexturing = .none session.run(config) Also tested: with and without frameSemantics = .bodyDetection Expected Behavior ARBodyAnchor should be detected and body.skeleton should contain ~89 valid joints with continuous updates.

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?

What is the reason the hand-tracking joints have these axes? I'm trying to create a virtual hands model and that's a mess.

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.

I use ARKit for motion tracking. I get the skeleton joint coordinates and use them for animation. I didn't make any changes to the code, but I updated the iOS version from 18 to 26, and modelTransform now always returns nil. https://developer.apple.com/documentation/arkit/arskeleton3d/modeltransform(for:) For example bodyAnchor.skeleton.modelTransform(for: .init(rawValue: "head_joint")) bodyAnchor is ARBodyAnchor. I see the default skeleton on the screen, but now I can't get the coordinates out of it. I'm using an example from Apple's WWDC presentation. https://developer.apple.com/documentation/arkit/capturing-body-motion-in-3d Are there any changes in the API? Or just bug?

Hi everyone! I am working on AR app and wanted to implement object occlusion because it removes drift pretty much from the object. This working great with RealityKit sample But I am unable to replicate such behaviour it with scenekit. Because scenekit does not offer object occlusion. Can we say scenekit is getting depricated, and we should re-write app in RealityKit (which is obviously a big task)?

I am working on a project that requires access to the main camera on the Vision Pro. My main account holder applied for the necessary enterprise entitlement and we were approved and received the Enterprise.license file by email. I have added the Enterprise.license file to my project, and manually added the com.apple.developer.arkit.main-camera-access.allow entitlement to the entitlement file and set it to true since it was not available in the list when I tried to use the + Capability button in the Signing & Capabilites tab. I am getting an error: Provisioning profile "iOS Team Provisioning Profile: " doesn't include the com.apple.developer.arkit.main-camera-access.allow entitlement. I have checked the provisioning profile settings online, and there is no manual option for adding the main camera access entitlement, and it does not seem to be getting the approval from the license.

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”

https://developer.apple.com/documentation/arkit/arpointcloud https://developer.apple.com/documentation/arkit/arframe/rawfeaturepoints The point cloud (collection of points/features) main intention is a debug visualization to what the underlying tracking algorithm processes and is not designed for additional algorithms on top of that. But, we are utilizing information contained in the points/features collected by ARKit. Currently, the range of rawfeaturepoints is limited to about 10 meter from the device. We see a great chance if the range is unlock. The global localization will be more robust and accurate. ARPointCloud - Apple ARKit - FindSurface YouTube SIdQRiLj2jY

I can add a WorldAnchor to a WorldTrackingProvider. The next time I start my app, the WorldAnchor is added back, and then is immediately removed: dataProviderStateChanged(dataProviders: [WorldTrackingProvider(0x0000000300bc8370, state: running)], newState: running, error: nil) AnchorUpdate(event: added, timestamp: 43025.248134708, anchor: WorldAnchor(id: C0A1AE95-F156-45F5-9030-895CAABF16E9, isTracked: true, originFromAnchorTransform: <translation=(0.048458 0.000108 -0.317565) rotation=(0.00° 15.44° -0.00°)>)) AnchorUpdate(event: removed, timestamp: 43025.348131208, anchor: WorldAnchor(id: C0A1AE95-F156-45F5-9030-895CAABF16E9, isTracked: false, originFromAnchorTransform: <translation=(0.000000 0.000000 0.000000) rotation=(-0.00° 0.00° 0.00°)>)) It always leaves me with zero anchors in .allAnchors...the ARKitSession is still active at this point

Hello All, I'm desperate to found a solution and I need your help please. I've create a simple cube in Vision OS. I can get it by hand (close my hand on it) and move it pretty where I want. But, I would like to throw it (exemple like a basket ball). Not push it, I want to have it in hand and throw it away of me with a velocity and direction = my hand move (and finger opened to release it). Please put me on the wait to do that. Cheers and thanks Mathis