Some users have reported an error editing portrait photo assets in my app: The operation couldn’t be completed. (CINonLocalizedDescriptionKey error 3.) What is that error? Will affected photos always encounter this error (due to data corruption for example) or can it be resolved in a future iOS update? FB16241301

I'm developing a video capture app using AVFoundation, designed specifically for use on a boat pylon to record slalom water skiing. This setup involves considerable vibration. As you may know, the OIS that Apple began adding to lenses since the iPhone 7 is actually very problematic in high vibration circumstances, ironically creating very shaky video, whereas lenses without OIS produce perfectly stable video. Because of this, up until iPhone 14, the solution for my app was simply to use the Selfie lens, which did not have OIS. Starting with iPhone 14 through iPhone 16 (non-Pro models), technical specs suggest the selfie lens still does not include OIS. However, I’m still seeing the same kind of shaky video behavior I see on OIS-equipped lenses. The one hardware change I see in this camera module is the addition of PDAF (Phase Detection Autofocus), so that is my best guess as to what is causing the unstable video. 1- Does that make any sense - that in high vibration settings, PDAF could create unstable video in the same way that OIS does? Or could it be something else that was changed between the iPhone 13 and 14 Selfie lens? Thinking that the issue was PDAF, I figured that if I enabled my app to set a Manual Focus level, that ought to circumvent PDAF (expecting that if a lens is manually focusing, it can’t also be autofocusing via PDAF). However, even with manual focus locked via AVCaptureDevice in my app, on the Selfie lens of an iPhone 16, the video still comes out very shaky, basically unusable. I also tested with the built-in Apple Camera app (using the press-and-hold to lock focus and exposure) and another 3rd party camera app to lock focus, all with the same results, so it's not that my app just isn't correctly doing manual focus. So I'm stuck with these questions: 2- Does the selfie camera on iPhones 14–16 use PDAF even when focus is set to locked/manual mode? 3- Is there any way in AVFoundation to disable or suppress PDAF during video recording (e.g., a flag, device format setting, or private API)? 4- Is PDAF behavior or suppression documented or controllable via AVCaptureDevice or any related class? 5- If no control of PDAF is available, are there any best practices for stabilizing or smoothing this effect programmatically? Note that I also have set my app to use the most aggressive form of stabilization available, so it defaults to .cinematicExtendedEnhanced, if that’s not available, then .cinematicExtended, etc. On the 16 Selfie lens, it is using .cinematicExtended. As an additional question: 6- Would those be the most appropriate stabilization settings for a high vibration environment, and if not, what would be best?

Xcode Version 16.3 (16E140) App developed in Flutter Flutter 3.29.3 Test iPhone device: iPhone 16 Pro running iOS 18.5 I have an app that requires Camera access. This used to work before with iOS 18.4.x. I have dumbed down my app to just get Camera permission. Even then it fails flutter: Camera permission: PermissionStatus.denied flutter: Photos permission: PermissionStatus.denied flutter: Microphone permission: PermissionStatus.denied flutter: --- End Debug Info --- flutter: Loaded translations from asset for en_US container_create_or_lookup_app_group_path_by_app_group_identifier: client is not entitled container_create_or_lookup_app_group_path_by_app_group_identifier: client is not entitled container_create_or_lookup_app_group_path_by_app_group_identifier: client is not entitled container_create_or_lookup_app_group_path_by_app_group_identifier: client is not entitled container_create_or_lookup_app_group_path_by_app_group_identifier: client is not entitled container_create_or_lookup_app_group_path_by_app_group_identifier: client is not entitled flutter: CAMERA PERMISSION STATUS: PermissionStatus.permanentlyDenied Camera permissions don't show up in my App settings or under "Settings -> Privacy and Security -> Camera" and I am at loss to understand why this is happening.

I am currently developing an AR experience using ARKit with SceneKit and am looking to implement functionality that enables: Zooming into the AR camera feed, ideally leveraging the ultra-wide or telephoto lenses available on supported devices. Macro-style focus capabilities, allowing users to view and interact with virtual content closely aligned with small or nearby real-world objects (within a few centimeters). My objective is to ensure that ARKit continues to render the scene accurately while enabling a zoomed-in view or macro-level focus for better detail visibility and alignment. Could you please advise on: Whether ARKit currently supports camera zoom or allows access to macro or ultra-wide cameras within an ARSession. Limitations or considerations when using multi-camera setups in conjunction with ARKit. Any guidance or references to documentation or sample code would be greatly appreciated.

I am currently developing an AR experience using ARKit with SceneKit and am looking to implement functionality that enables: Zooming into the AR camera feed, ideally leveraging the ultra-wide or telephoto lenses available on supported devices. Macro-style focus capabilities, allowing users to view and interact with virtual content closely aligned with small or nearby real-world objects (within a few centimeters). My objective is to ensure that ARKit continues to render the scene accurately while enabling a zoomed-in view or macro-level focus for better detail visibility and alignment. Could you please advise on: Whether ARKit currently supports camera zoom or allows access to macro or ultra-wide cameras within an ARSession. Limitations or considerations when using multi-camera setups in conjunction with ARKit. Any guidance or references to documentation or sample code would be greatly appreciated. Best regards, Ayush

Is there any mechanism to restrict camera usage on a user-owned device, once they have opted in, consented to the restriction, and installed a management profile? Documentation suggests it was possible with allowCamera, but has be deprecated on unsupervised devices. Am I understanding correctly that it's simply not possible anymore unless the device is supervised?

I want to limit my child's phone usage at night by allowing them to scan a QR code to enforce app limitations via ScreenTime. When they scan the QR code, I'm still unable to prevent them from accessing the Phone, Messages, and Camera app via ScreenTime. Is there a way I can block or heavily restrict their access to these three apps via ScreenTime? How do I prevent my child from undoing or evading the ScreenTime enforcement I'm trying to enforce?

I'm developing a tennis ball tracking feature using Vision Framework in Swift, specifically utilizing VNDetectedObjectObservation and VNTrackObjectRequest. Occasionally (but not always), I receive the following runtime error: Failed to perform SequenceRequest: Error Domain=com.apple.Vision Code=9 "Internal error: unexpected tracked object bounding box size" UserInfo={NSLocalizedDescription=Internal error: unexpected tracked object bounding box size} From my investigation, I suspect the issue arises when the bounding box from the initial observation (VNDetectedObjectObservation) is too small. However, Apple's documentation doesn't clearly define the minimum bounding box size that's considered valid by VNTrackObjectRequest. Could someone clarify: What is the minimum acceptable bounding box width and height (normalized) that Vision Framework's VNTrackObjectRequest expects? Is there any recommended practice or official guidance for bounding box size validation before creating a tracking request? This information would be extremely helpful to reliably avoid this internal error. Thank you!

Short summary When setting exposureMode to .locked or .custom the brightness of a video stream still changes depending on the composition and contrast of the visible scene. These changes seem to come from contrast enhancements or dynamic range optimizations and totally break any analysis of the image that requires to assess absolute luminance. While exposure lock seems to indeed lock the physical exposure parameters of the camera (shutter speed and ISO), I cannot find any way to control these "soft" modifiers. Details Background I am the developer of the app "phyphox", an educational app that makes the phone's sensors accessible to students as measurement tools in science experiments. Currently I am working on implementing photometric measurements through the camera and one very important aspect of it is luminance measurements. This is particularly relevant since the light sensor of the phone has no publicly accessible API and the camera could to some extend make experiments available to Apple users that are otherwise only possible on Android devices. Implementation The app uses AVFoundation and explicitly picks individual cameras since camera groups do not support custom exposure settings. This means that it handles camera switching during zoom by itself and even implements its own auto exposure routines to optimize for the use in experiments. Therefore it always stays in custom exposure mode. The app uses YUV420 color space and the individual frames are analyzed in Metal using compute shaders. However, the effects discussed here still occur if I remove all code to control the camera and replace it with a simple sequence of setting the exposure mode to custom, setting custom exposure values, setting a fixed white balance and then setting the exposure mode to locked as suggested on stackoverflow. This neither helps on an iPhone 14 Pro nor on an iPhone 8 despite a report on the developer forums that it would resolve the issue for older devices. The app is open source, so the code can be seen in our current development branch (without the changes for the tests here, though) on github. The videos below use the implementation with the suggestion from stackoverflow, but they can be reproduced in the same way with "professional" camera apps that promise manual control over the camera (like the Blackmagic cam to quote a reputable company) as well as the stock camera app after pressing and holding on the preview to enable AE/AF lock. Demonstration These examples were captured on an iPhone 14 Pro. The central part of the image (highlighted by the app using metal shaders after capture) should not change with fixed exposure settings, but significant changes are noticable if there are changes at the edge of the frame when I move a black piece of cardboard in from above: https://share.icloud.com/photos/0b1f_3IB6yAQG-qSH27pm6oDQ The graph above the camera preview is the average luminance (gamma corrected and weighted based on sRGB) across the highlighted central area and as mentioned before it should not change because of something happening at the side of the frame (worst case it should get a bit darker because of the cardboard's shadow). In my opinion, the iPhone changes its mind on the ideal contrast as soon as it has a different exposure histogram because of the dark image part from the cardboard, but that's just me guessing. For completeness here is the same effect in the stock camera app with AE/AF lock enabled: https://share.icloud.com/photos/0cd7QM8ucBZKwPwE9mybnEowg Here you can also see that the iPhone "ramps" the changes. The brightness of the gray area does not change immediately but transitions smoothly, so this is clearly deliberate postprocessing. So... Any suggestion on how to prevent this behavior would be highly appreciated.

Hi, I'm working with CameraFrameProvider from Enterprise API. Is it always capped at 30fps, or is there something I can switch to get more? I assume it is capped at 30, so let me cram in additional question here :). If I'd get a developer strap and attach an external camera capable of doing >30fps, will I get the full stream, or some other limitation will kick in?

Hello Community, I’m currently working with the sample code “CapturingDepthUsingTheLiDARCamera” and using it to capture the depth map of an image taken with the iPhone 14 Pro. From this depth map, I generate a point cloud using the intrinsic camera parameters. I've noticed that objects not facing the camera directly appear distorted in the resulting point cloud. For example: An object with surfaces that are perpendicular to each other appears with a sharper angle in the point cloud — around 60° instead of 90°. My question is: Is this due to the general accuracy limitations of the LiDAR sensor? Or could it be related to the sample code? To obtain the depth map, I’m using: AVCapturePhoto.depthData.converting(toDepthDataType: kCVPixelFormatType_DepthFloat32) Thanks in advance for your help!

I am developing a video streaming app for iPhone. Minimum version is IOS 13. I want to connect an external USB camera to the iPhone app and stream from it. I have looked through a lot of information and have not found how to do this. Is it possible to do this? Is there any documentation on this?

Hi, At work, we've done some development on an Apple Vision Pro. On the project, we used object tracking to track an object in 3D and found the default tracking refresh rate (I believe 5Hz)to be too slow so we applied for enterprise APIs so we could change it. At some point, in the capabilities (as a beginner to Swift and the Apple development environment) I noticed that's where you enable the Object Tracking Parameter Adjustment API and I did so, before hearing back about whether we got access to the enterprise API's and the license file that comes with it. So I setup the re-fresh rate to 30Hz and logged the settings of the ObjectTrackingProvider, showing it was set at 30Hz and felt like it was better than the default when we ran our app. In the Xcode runtime logs, there was no warning or error saying that the license file for the enterprise API was not found (and I don't think we heard back from Apple if they had granted our request or not - even if they did I think the license would be expired by now). Fast forward to today, I was running the sample code of the Main Camera access for VisionOS linked in the official developer documentation and when I ran the project in Xcode, I noticed in the logs that it wanted an enterprise license and that's why it wasn't running as expected in the immersive space. We've since applied for the Enterprise API for Main Camera Access. I'm now confused - did I mistakenly believe the object tracking refresh rate was set to 30Hz but it actually wasn't due to the lack of a license file/being granted access to the enterprise APIs? It seemed to be running as expected without a license file. Is Object tracking Parameter Adjustment API handled with different permissions than Main Camera Access API even though they are both enterprise APIs? This is all for internal development and not planning on distributing an app but I find the behaviour to be confusing between the different enterprise API? Does anyone have more insight as I find the developer notes on the enterprise APIs to be a bit sparse.

I’m building a professional camera app where users can customize the video recording format and color grading. In the func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) method, I handle video frames and use Metal for real-time color grading. This works well when device.activeColorSpace is sRGB or P3, and the results are great. However, when the color space is HLG_BT2020 or appleLog, the MTKTextureLoader.newTexture(cgImage: cgImage, options: options) method throws an error. After researching, I found that the video frame in these color spaces has a bit-per-channel (bpc) greater than 8 after being converted to CGImage, causing the texture creation to fail. I tried converting the CGImage to a lower bpc to successfully create the texture, but the final output image is garbled and not as expected. Is there a solution to this issue?

Hi, I'm trying to correct the lens distortion in frames provided by Enterprise API camera frame provider. The frames provided seem to have only in/extrinsics info, but not the distortion lookup table. Is there some magic setting, or function to do that (I can't seem to find anything like this)? Or is there a way to use AVCameraCalibrationData together with provider?

I have an AR game using ARKit with SceneKit that works just fine in iOS 17. In the iOS 18 betas, the AR background image shows black instead of showing the real world. As a result there's no tracking and obviously the whole game is useless. I narrowed down the issue to showing the Game Center Access Point. My app has ViewController 1 (VC1) showing the main menu and that's where I want to show the GC Access Point. From there you open VC2 which shows a list of levels. Selecting any level will open VC3 which has the ARScene. Following is the code I use to start Game Center in VC1: GKLocalPlayer.local.authenticateHandler = { gcAuthVC, error in let isGameCenterReady = (gcAuthVC == nil) && (error == nil) if let viewController = gcAuthVC { self.present (viewController, animated: true, completion: nil) } if error != nil { print(error?.localizedDescription ?? "") } if isGameCenterReady { GKAccessPoint.shared.location = .topLeading GKAccessPoint.shared.showHighlights = true GKAccessPoint.shared.isActive = true } } When switching to VC2 I run GKAccessPoint.shared.isActive = false so that the Access Point will no longer show in any of the following VCs. I tried running it in VC1, VC2, and again in VC3 - it doesn't change anything. Once I reach VC3, the background is black. If in VC1 I don't run GKAccessPoint.shared.isActive = true, so I don't activate the access point, the behavior is as follows: If I wait until after the Game Center login animation completes and closes on its own and then I proceed to VC2 and VC3, the camera image will show correctly If I quickly move to VC2 before the Game Center login animation has completed, so my code will close it by setting active = false, and then I continue to VC3, I will see the black background problem. So it does look like activating the access point and then de-activating it causes the issue. BTW, if I activate the access point and leave it on in all VCs, the same black background issue persists. Other than that, when I'm in VC3 with the black background and I switch to another app (so my game moves to the background), when it returns to the foreground, the camera suddenly shows the real world correctly! I tried to manually reset the AR session by pausing and restarting it, but that didn't change anything. Also, when I check with the debugger, it looks like when the app comes back to the foreground it also doesn't run the session start code. But something does seem to reset itself so I wonder what that is. Maybe I could trigger the same manually in my cdoe??? I repeat that everything works just fine in iOS 17 and below. This problem only started with the iOS 18 beta (currently on beta 5, but it started in some of the previous betas as well). So could this be a bug in iOS 18? As a workaround I could check the iOS version and if it's iOS18 not activate the access point, hoping that the user will not jump to VC2 too quickly, and show my own button which will open Game Center. But I'd rather give the users the full experience with their own avatar and the highlights showing up. Plus, certainly some users will move quickly to VC2 and that will be an awful experience. Any help would be greatly appreciated. Thanks!

I'm using an iPhone 15 Pro, which has switched from Lightning to USB Type-C. My iOS version is 18.3. According to Apple's documentation, AVCaptureDevice.DeviceType should support external device types. 🔗 Apple's Official Documentation: https://developer.apple.com/documentation/avfoundation/avcapturedevice/devicetype-swift.struct/external The documentation clearly states that iPadOS 17.0+ and iOS 17.0+ support external devices. However, in my actual tests: On iPhone, discoverySession does not detect any external devices. On iPad, discoverySession can detect external devices without any issues. My Question: Does iPhone USB-C actually support external devices (e.g., UVC cameras)? If not, why does Apple's documentation claim that iOS 17 supports external devices instead of specifying iPadOS 17 only?

Ever since the last update i have issues with my camera app. Sometimes when I open the app the forward facing cameras don’t work and it’s just a Black screen. I also get a warning that I may not have genuine iPhone parts installed. I have to reboot the phone every time just to have it app function again. It’s annoying. Please fix this. I never had any issues with the camera or its app up until after the update.

I’m developing a hybrid app (WebView / Turbo Native) that uses getUserMedia to access the back camera for a PPG/heart rate measurement feature (the user places their finger on the camera). Problem: Even when I specify constraints like: { video: { deviceId: '...', facingMode: { exact: 'environment' }, advanced: [{ zoom: 1.0 }] }, audio: false } On iPhone 15 (iOS 18), iOS unexpectedly switches between the wide, ultra-wide, and telephoto lenses during the measurement. This breaks the heart rate detection, and it forces the user to move their finger in the middle of the measurement. Question: Is there any way, via getUserMedia/WebRTC, to force iOS to use only the wide-angle lens and prevent automatic lens switching? I know that with AVFoundation (Swift) you can pick .builtInWideAngleCamera, but I’m hoping to avoid building a custom native layer and would prefer to stick with WebView/JavaScript if possible to save time and complexity. Any suggestions, workarounds, or updates from Apple would be greatly appreciated! Thanks a lot!

Adding Stack Trace for your reference: thread #1, queue = 'com.apple.main-thread', stop reason = EXC_BREAKPOINT (code=1, subcode=0x1a6efe5b8) frame #0: 0x00000001a6efe5b8 WebCoreWebCore::BaseAudioSharedUnit::BaseAudioSharedUnit() + 668 frame #1: 0x00000001a6efe044 WebCoreWebCore::CoreAudioSharedUnit::singleton() + 80 frame #2: 0x00000001a9521fe4 WebCoreWebCore::CoreAudioCaptureSource::create(WebCore::CaptureDevice const&, WebCore::MediaDeviceHashSalts&&, WebCore::MediaConstraints const*, std::__1::optional<WTF::ObjectIdentifierGeneric<WebCore::PageIdentifierType, WTF::ObjectIdentifierMainThreadAccessTraits<unsigned long long>, unsigned long long>>) + 360 frame #3: 0x00000001a94f180c WebCoreWebCore::RealtimeMediaSourceCenter::getUserMediaDevices(WebCore::MediaStreamRequest const&, WebCore::MediaDeviceHashSalts&&, WTF::Vector<WebCore::RealtimeMediaSourceCenter::DeviceInfo, 0ul, WTF::CrashOnOverflow, 16ul, WTF::FastMalloc>&, WTF::Vector<WebCore::RealtimeMediaSourceCenter::DeviceInfo, 0ul, WTF::CrashOnOverflow, 16ul, WTF::FastMalloc>&, WebCore::MediaConstraintType&) + 356 frame #4: 0x00000001a94f22cc WebCoreWebCore::RealtimeMediaSourceCenter::validateRequestConstraintsAfterEnumeration(WTF::Function<void (WTF::Vector<WebCore::CaptureDevice, 0ul, WTF::CrashOnOverflow, 16ul, WTF::FastMalloc>&&, WTF::Vector<WebCore::CaptureDevice, 0ul, WTF::CrashOnOverflow, 16ul, WTF::FastMalloc>&&)>&&, WTF::Function<void (WebCore::MediaConstraintType)>&&, WebCore::MediaStreamRequest const&, WebCore::MediaDeviceHashSalts&&) + 356 frame #5: 0x00000001a94fb394 WebCoreWTF::Detail::CallableWrapper<WebCore::RealtimeMediaSourceCenter::enumerateDevices(bool, bool, bool, bool, WTF::CompletionHandler<void ()>&&)::$_0, void>::~CallableWrapper() + 164 frame #6: 0x00000001a814bbe8 WebCoreWTF::Detail::CallableWrapper<WebCore::AVCaptureDeviceManager::refreshCaptureDevicesInternal(WTF::CompletionHandler<void ()>&&, WebCore::AVCaptureDeviceManager::ShouldSetUserPreferredCamera)::$_0::operator()()::'lambda'(), void>::call() + 520 frame #7: 0x00000001ab7f1aac JavaScriptCoreWTF::RunLoop::performWork() + 524 frame #8: 0x00000001ab7f1880 JavaScriptCoreWTF::RunLoop::performWork(void*) + 36 frame #9: 0x00000001935e7d0c CoreFoundationCFRUNLOOP_IS_CALLING_OUT_TO_A_SOURCE0_PERFORM_FUNCTION + 28 frame #10: 0x00000001935e7ca0 CoreFoundation__CFRunLoopDoSource0 + 172 frame #11: 0x00000001935e6a24 CoreFoundation__CFRunLoopDoSources0 + 232 frame #12: 0x00000001935e5c64 CoreFoundation__CFRunLoopRun + 840 frame #13: 0x000000019360a730 CoreFoundationCFRunLoopRunSpecific + 572 frame #14: 0x00000001e0fb5190 GraphicsServicesGSEventRunModal + 168 frame #15: 0x0000000196239f34 UIKitCore-[UIApplication _run] + 816 frame #16: 0x0000000196238164 UIKitCore`UIApplicationMain + 336 frame #17: 0x000000010811bec4 AppName.debug.dylibmain at AppDelegate.swift:25:13 frame #18: 0x00000001bae06a58 dyldstart + 5964