How can I use my RGB Curve points: let redCurve = [CIVector(x: 0, y: 0), CIVector(x: 0.235, y: 0.152), CIVector(x: 0.5, y: 0.5), CIVector(x: 1, y: 1)] let greenCurve = [CIVector(x: 0, y: 0), CIVector(x: 0.247, y: 0.196), CIVector(x: 0.5, y: 0.5), CIVector(x: 1, y: 1)] let blueCurve = [CIVector(x: 0, y: 0), CIVector(x: 0.235, y: 0.184), CIVector(x: 0.466, y: 0.466), CIVector(x: 1, y: 1)] in colorCurvesFilter which I've found in Apple Docs: func colorCurves(inputImage: CIImage) -> CIImage { let colorCurvesEffect = CIFilter.colorCurves() colorCurvesEffect.inputImage = inputImage colorCurvesEffect.curvesDomain = CIVector(x: 0, y: 1) colorCurvesEffect.curvesData = Data( bytes: [Float32]([ 0.0,0.0,0.0, 0.8,0.8,0.8, 1.0,1.0,1.0 ]), count: 36) colorCurvesEffect.colorSpace = CGColorSpaceCreateDeviceRGB() return colorCurvesEffect.outputImage! }

Following WWDC 2023 "Support HDR images in your app", I'm trying to save 48-megapixel ProRAWs (taken on an iPhone 14 Pro Max) as HDR HEICs to the Photo Library. After processing the ProRAW file using CIRAWFilter, whether I use CIContext.heif10Representation() or convert to a CGImage, then UIImage, and use UIImage.heicData(), I get photos that behave oddly in the Photo Library. They appear too dark, and visibly brighten when first viewed, but more problematic is that the photos brighten a great deal more when you edit them with the Photos editor. This is the behavior when using the itur_2100_PQ color space, but itur_2100_HLG behaves similarly, except that it gets dramatically darker when edited. This behavior occurs whether CIRAWFilter.extendedDynamicRangeAmount is set to 0.0, or 2.0, or not set at all. So what am I doing wrong? Here is a minimal iOS app -- well, just the ContentView -- that demonstrates the issue. You also need a .dng ProRAW file included in the project directory named test.dng. I'd love to include such a file, but I can't. Be prepared for a multi-second wait when you save the photo. import SwiftUI import Photos struct ContentView: View { let context = CIContext() let hdrColorSpace = CGColorSpace(name: CGColorSpace.itur_2100_PQ)! var body: some View { VStack(spacing: 100) { Button("Save Photo From CGImage/UIImage") { savePhotoFromUIImage() } Button("Save Photo From CIImage") { savePhotoDirectFromCIImage() } }.padding(60) } //convert RAW with CIRAWFilter to CIImage, then convert to CGImage, then UIImage, then HEIF private func savePhotoFromUIImage() { if let ciImage = processRAW(url: Bundle.main.url(forResource:"test", withExtension: "dng")!) { guard let outputCGImage = context.createCGImage(ciImage, from: ciImage.extent, format: .RGB10, colorSpace: hdrColorSpace) else { return } let uiImage = UIImage(cgImage: outputCGImage) if let heicData = uiImage.heicData() { saveHEIFPhotoToLibrary(imageData: heicData) } else { print("Failed to convert UIImage to HEIC") } } } //convert RAW with CIRAWFilter to CIImage, then to HEIF private func savePhotoDirectFromCIImage() { if let ciImage = processRAW(url: Bundle.main.url(forResource:"test", withExtension: "dng")!) { do { let heif = try context.heif10Representation(of: ciImage, colorSpace: hdrColorSpace) saveHEIFPhotoToLibrary(imageData: heif) } catch { print("Failed to get HEIF representation from CIContext") } } } private func processRAW(url: URL) -> CIImage? { guard let coreRawFilter = CIRAWFilter(imageURL: url) else { return nil } coreRawFilter.extendedDynamicRangeAmount = 2.0 //the issue persists whether this is not set, or set to 0, or set to, say, 2.0 guard let ciImage = coreRawFilter.outputImage else { return nil } return ciImage } private func saveHEIFPhotoToLibrary(imageData: Data) { PHPhotoLibrary.shared().performChanges({ let creationRequest = PHAssetCreationRequest.forAsset() let options = PHAssetResourceCreationOptions() creationRequest.addResource(with: .photo, data: imageData, options: options) }) { success, error in if let error = error { print("Error saving photo: \(error.localizedDescription)") } else { print("Photo saved.") } } } }

How can I use my RGB Curve points: let redCurve = [CIVector(x: 0, y: 0), CIVector(x: 0.235, y: 0.152), CIVector(x: 0.5, y: 0.5), CIVector(x: 1, y: 1)] let greenCurve = [CIVector(x: 0, y: 0), CIVector(x: 0.247, y: 0.196), CIVector(x: 0.5, y: 0.5), CIVector(x: 1, y: 1)] let blueCurve = [CIVector(x: 0, y: 0), CIVector(x: 0.235, y: 0.184), CIVector(x: 0.466, y: 0.466), CIVector(x: 1, y: 1)] in colorCurvesFilter which I've found in Apple Docs: func colorCurves(inputImage: CIImage) -> CIImage { let colorCurvesEffect = CIFilter.colorCurves() colorCurvesEffect.inputImage = inputImage colorCurvesEffect.curvesDomain = CIVector(x: 0, y: 1) colorCurvesEffect.curvesData = Data( bytes: [Float32]([ 0.0,0.0,0.0, 0.8,0.8,0.8, 1.0,1.0,1.0 ]), count: 36) colorCurvesEffect.colorSpace = CGColorSpaceCreateDeviceRGB() return colorCurvesEffect.outputImage! }

Hi! I'm attempting to add purpose string when requesting to access the camera, but for some reason it doesn't seem to be working. Below I've included the alert and the plist.

Based on the iPhone 14 Max camera, implement model recognition and draw a rectangular box around the recognized object. The width and height are calculated using LiDAR and displayed in centimeters on the real-time updated image.

I have an iPad app that I want to run on Apple Silicon macs. Everything works fine except for VNDocumentCameraViewController. According to the docs this class is available on: iOS 13.0+ iPadOS 13.0+ Mac Catalyst 13.1+ visionOS 1.0+ yet when I try using it I get Document camera is not available on my Mac Studio running macOS 15.2 Is this expected behaviour? Thanks

am new to using Swift for a Mac Application. I am trying to control an external UVC-compliant camera focus and other capabilities. However, I'm having trouble with this and don't know where to start. I have downloaded an application from the App Store and it can control the focus and other capabilities. I've tried IOKit but this seems to be complicated and this does not return any capabilities or control the camera. I also tried AVfoundation and was able to open the camera, but using the following code did not work for me. as a device.isFocusPointOfInterestSupported returns false and without checking the app crashes. @IBAction func focusChanged(_ sender: NSSlider) { do { guard let device = videoDevice else { return } try device.lockForConfiguration() // Check if focus mode and point of interest are supported if device.isFocusModeSupported(.locked) { device.focusMode = .locked } if device.isFocusPointOfInterestSupported { // Map the slider value (0.0 to 1.0) to the focus point's X coordinate let focusX = CGFloat(sender.doubleValue) let focusPoint = CGPoint(x: focusX, y: 0.5) // Y coordinate is typically 0.5 (centered vertically) device.focusPointOfInterest = focusPoint } else { print("Focus point of interest is not supported on this device.") } device.unlockForConfiguration() // Log focus settings print("Focus point: \(device.focusPointOfInterest)") print("Focus mode: \(device.focusMode.rawValue)") } catch { print("Error adjusting focus: \(error)") } Any help or advice is much appreciated.

How can I implement the same custom CIFilter as a Lightroom Color Grading tool for shadows, midtones, highlights and global areas?

Dear Apple Developer Forum, I have a question regarding the AVCaptureDevice on iOS. We're trying to capture photos in the best quality possible along with depth data with the highest accuracy possible. We were delighted when we saw AVCaptureDevice could be initialized with the AVMediaType=.depthData which works as expected (depthData is a part of the AVCapturePhoto). When setting to AVMediaType=.video, we still receive depth data (of same quality according to our own internal tests). That confused us. Mind you, we set the device format and depth format as well: private func getDeviceFormat() throws -> AVCaptureDevice.Format { // Ensures high video format and an appropriate color profile. let format = camera?.formats.first(where: { $0.isHighPhotoQualitySupported && $0.supportedDepthDataFormats.count > 0 && $0.formatDescription.mediaSubType.rawValue == kCVPixelFormatType_420YpCbCr8BiPlanarFullRange }) // Check and see if it's available. guard format != nil else { throw CaptureDeviceError.necessaryFormatNotAvailable } return format! } private func getDepthDataFormat(for format: AVCaptureDevice.Format) throws -> AVCaptureDevice.Format { // Access the depth format. let depthDataFormat = format.supportedDepthDataFormats.first(where: { $0.formatDescription.mediaSubType.rawValue == kCVPixelFormatType_DepthFloat32 }) // Check if it exists guard depthDataFormat != nil else { throw CaptureDeviceError.necessaryFormatNotAvailable } // Returns it. return depthDataFormat! } We're wondering, what steps we can take to ensure the best quality photo, along with the most accurate depth data? What properties are the most important, which have an effect, which don't? Are there any ways we can optimize our current configuration? We find it difficult as there's very limited guides and explanations on the media subtypes, for example kCVPixelFormatType_420YpCbCr8BiPlanarFullRange. Is it the best? Is it the best for our use case of high quality photo + most accurate depth data? Important comment: Our App only runs on iPhone 14 Pro, iPhone 15 Pro, iPhone 16 Pro on the latest iOS versions. We hope someone with greater knowledge at Apple can help us and guide us on how we can have the photos of best quality and depth data with most accuracy. Thank you very much! Kind regards.

We are encountering a critical, intermittently occurring crash issue when accessing photo data using PHAssetResourceManager.writeDataForAssetResource on iOS 18. The problem does not arise on iOS 17 or earlier versions. We have been unable to identify a consistent reproduction path. Based on user feedback, the issue seems to involve Live Photo and Raw image files. Our investigation has revealed that the crash occurs in the +[PISchema identifier] method of the PhotoImaging Framework. When called manually, this method causes a crash on iOS 18 but works without issues on iOS 17. Reproduction Steps: 1.Fetch PHAsset. 2.Get PHAssetResource by [PHAssetResource assetResourcesForAsset:]. 3.Call [PHAssetResourceManager writeDataForAssetResource:toFile:options:completionHandler:]. Crash Log: Incident Identifier: CFD60092-FDB1-43B4-BA42-3F507F7B8B96 CrashReporter Key: 260b4780989083a54e0cb451930fe9a3bed64862 Hardware Model: iPhone13,4 AppStoreTools: 16C5031b AppVariant: 1:iPhone13,4:18 Code Type: ARM-64 (Native) Role: Foreground Parent Process: launchd [1] Date/Time: 2025-02-15 19:07:57.7054 +0800 Launch Time: 2025-02-15 19:07:55.4106 +0800 OS Version: iPhone OS 18.3.1 (22D72) Release Type: User Baseband Version: 5.20.03 Report Version: 104 Exception Type: EXC_CRASH (SIGABRT) Exception Codes: 0x0000000000000000, 0x0000000000000000 Termination Reason: SIGNAL 6 Abort trap: 6 Terminating Process: mCloud_iPhone [11109] Triggered by Thread: 11 Application Specific Information: abort() called Thread 11 name: Dispatch queue: com.apple.NSXPCConnection.m-user.com.apple.photos.service Thread 11 Crashed: 0 libsystem_kernel.dylib 0x1e850b2d4 __pthread_kill + 8 1 libsystem_pthread.dylib 0x221b4959c pthread_kill + 268 2 libsystem_c.dylib 0x19ec24b08 abort + 128 3 NeutrinoCore 0x1bdcdbdec -[NUAssertionPolicyAbort notifyAssertion:] + 68 4 NeutrinoCore 0x1bdcdbbf4 -[NUAssertionPolicyComposite notifyAssertion:] + 160 5 NeutrinoCore 0x1bdcdc098 -[NUAssertionPolicyUnique notifyAssertion:] + 176 6 NeutrinoCore 0x1bdcdb524 -[NUAssertionHandler handleFailureInFunction:file:lineNumber:currentlyExecutingJobName:description:arguments:] + 156 7 NeutrinoCore 0x1bdcdc4bc _NUAssertFailHandler + 176 8 NeutrinoCore 0x1bdc8ea98 -[NUIdentifier initWithNamespace:name:version:] + 2352 9 NeutrinoCore 0x1bdc8eba8 -[NUIdentifier initWithName:version:] + 84 10 NeutrinoCore 0x1bdc8ec10 -[NUIdentifier initWithName:] + 68 11 PhotoImaging 0x1bda54ce4 +[PISchema identifier] + 36 12 PhotoImaging 0x1bda550fc +[PISchema registeredPhotosSchemaIdentifier] + 32 13 PhotoImaging 0x1bd9d7128 +[PIPhotoEditHelper newComposition] + 28 14 PhotoImaging 0x1bd940798 +[PICompositionSerializer deserializeCompositionFromAdjustments:metadata:formatIdentifier:formatVersion:sidecarData:error:] + 160 15 PhotoImaging 0x1bd9412ec +[PICompositionSerializer deserializeCompositionFromData:formatIdentifier:formatVersion:sidecarData:error:] + 224 16 PhotoLibraryServices 0x1afabf75c -[PLPhotoEditPersistenceManager loadCompositionFrom:formatIdentifier:formatVersion:sidecarData:error:] + 1856 17 PhotoLibraryServices 0x1afabffe4 +[PLPhotoEditPersistenceManager validateAdjustmentData:formatIdentifier:formatVersion:error:] + 108 18 Photos 0x1af4ac360 __167+[PHContentEditingInputRequestContext contentEditingInputRequestContextForAsset:requestID:managerID:networkAccessAllowed:downloadIntent:progressHandler:resultHandler:]_block_invoke + 260 19 Photos 0x1af4ac67c -[PHAdjustmentData(ContentEditingInput) _contentEditing_readableByClientWithVerificationBlock:] + 136 20 Photos 0x1af4ac4b0 -[PHAdjustmentData(ContentEditingInput) _contentEditing_requiredBaseVersionReadableByClient:verificationBlock:] + 88 21 Photos 0x1af4abb8c -[PHContentEditingInputRequestContext _adjustmentBaseVersionFromResult:request:canHandleAdjustmentData:] + 404 22 Photos 0x1af4a911c -[PHContentEditingInputRequestContext produceChildRequestsForRequest:reportingIsLocallyAvailable:isDegraded:result:] + 624 23 Photos 0x1af2c1d10 -[PHMediaRequestContext _produceChildRequestsForRequest:withResult:] + 88 24 Photos 0x1af2c11e8 -[PHMediaRequestContext mediaRequest:didFinishWithResult:] + 88 25 Photos 0x1af505184 -[PHAdjustmentDataRequest _finishFromAsynchronousCallback] + 124 26 Photos 0x1af5050a0 __39-[PHAdjustmentDataRequest startRequest]_block_invoke + 584 27 PhotoLibraryServicesCore 0x1b001be8c __106-[PLAssetsdResourceClient adjustmentDataForAsset:networkAccessAllowed:trackCPLDownload:completionHandler:]_block_invoke.86 + 864 28 CoreFoundation 0x196dd8e34 __invoking___ + 148 29 CoreFoundation 0x196dd7e7c -[NSInvocation invoke] + 428 30 Foundation 0x195a64ae0 __NSXPCCONNECTION_IS_CALLING_OUT_TO_EXPORTED_OBJECT__ + 16 31 Foundation 0x195a63514 -[NSXPCConnection _decodeAndInvokeReplyBlockWithEvent:sequence:replyInfo:] + 532 32 Foundation 0x195a6653c __88-[NSXPCConnection _sendInvocation:orArguments:count:methodSignature:selector:withProxy:]_block_invoke_5 + 188 33 libxpc.dylib 0x221babb80 _xpc_connection_reply_callout + 116 34 libxpc.dylib 0x221b9e2d0 _xpc_connection_call_reply_async + 80 35 libdispatch.dylib 0x19eb6b028 _dispatch_client_callout3 + 20 36 libdispatch.dylib 0x19eb88b64 _dispatch_mach_msg_async_reply_invoke + 340 37 libdispatch.dylib 0x19eb7242c _dispatch_lane_serial_drain + 352 38 libdispatch.dylib 0x19eb73158 _dispatch_lane_invoke + 432 39 libdispatch.dylib 0x19eb7e38c _dispatch_root_queue_drain_deferred_wlh + 288 40 libdispatch.dylib 0x19eb7dbd8 _dispatch_workloop_worker_thread + 540 41 libsystem_pthread.dylib 0x221b44680 _pthread_wqthread + 288 42 libsystem_pthread.dylib 0x221b42474 start_wqthread + 8

Hello, my company is developing a product that will send data to/from the phone over cable and Wi-Fi. I have three questions: Do we need an MFi authentication chip in our product if we plan to send video and commands to the iPhone/iPad over USB or Lightning cable? Likewise, do we need an MFI authentication chip for communication over Wi-Fi? (Informal research suggests that the answer is no to this one.) And, do we even still need MFI certification at all for Wi-Fi comms? (We are not using HomeKit.) Thank you!

I am writing an iOS app to present a slide show of assets in a Photo album, in a random order, including videos and live photos. I have got it all working quite nicely but for a Live Photo, I need to know what effect is selected (Live, Loop, Bounce, Long Exposure, Live Off) to display the image correctly. I can't find any mention of getting this information in the documentation. Anyone know how to do this? Thanks in advance. Adrian. (Xcode 16.1 iOS 18.0)

Hi, Currently I am developing a 3D reconstruction project. Which requires images to be distortion-free (rectilinear) and with known intrinsics. The session I am developing on is a builtInDualWideCamera, with isGeometricDistortionCorrectionEnabled set to false to be able to get the intrinsic matrix of the images, isVirtualDeviceConstituentPhotoDeliveryEnabled set to true and isAutoVirtualDeviceFusionEnabled set to false to get both images and isCameraCalibrationDataDeliveryEnabled set to true to actually get the calibration data. The distortion correction parameters such as lensDistortionLookupTable are used. The 42 coefficients mapping array is used as described in the AVCameraCalibrationData header file. A simple piecewise linear interpolation. There are two questions I would like to get support on: A way to set the calibration parameters in each image. I have an approach that sets the parameters in the kCGImagePropertyExifDictionary -> "UserComment". Is there a better approach to write calibration parameter data into the images? I feel like this is a bit dirty and there might be a better and neat approach. For the ultra-wide angle camera's images, the lensDistortionLookupTable contains several zeros at the end of the array. For example (last 10 elements are zero): "LensDistortionLookupTable":"0.000000000000000,0.000349554029526,0.001385628827848,0.003071037586778,... ,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000,0.000000000000000" The problem comes when the complete array is used to correct the image (including zeros), the end result is a wrapped-like-circle image close to the edges of it which is completely wrong. In contrast, if the LensDistortionLookupTable is used without the last zeros and the new size accommodated the image looks better (although not as rectilinear as if you take the image from the iPhone's camera app), but definitely less distorted. Including zeros (full array): Excluding zeros (array size changed): Am I missing an important point in the usage of the lensDistortionLookupTable where this case is addressed (zeros at the end)? What is the criteria to shrink/exclude elements of the array? Any advice is very much welcome.

Is it possible to use the AVExternalStorageDevice to access external storage from a connected camera or usb drive (via USB C or Lightning connector) on an iPad/iPhone. I have tested the following code on an iPhone 14 (iOS 18.1.1) and an iPad Gen 10 (18.3.1), and both return false for: // returns false on iPhone 14, iPad gen 10 print(AVExternalStorageDeviceDiscoverySession.isSupported) The following code returns null, when I try to access the external storage discovery session. // returns null on iOS devices print(AVExternalStorageDeviceDiscoverySession.shared) The following returns false, without displaying a permission dialog: AVExternalStorageDevice.requestAccess(completionHandler: { (granted: Bool) in // returns false with no permission dialog print(granted); What type of iOS devices are supported by AVExternalStorageDeviceDiscoverySession? What situations has it been used for (e.g. connecting to Camera via the external storage protocol, accessing photos from a SD card with an adapter, accessing photos from usb drive). Is there are sample code for using the AV External Storage api?

I am following the Apple sample code and trying to add a manual focus lens position slider: @available(iOS 18.0, *) private func addCameraControls() { if !self.session.controls.isEmpty { for control in self.session.controls { self.session.removeControl(control) } } self.cameraControlFocusSlider = nil //Focus Slider if self.videoDevice!.isLockingFocusWithCustomLensPositionSupported { self.cameraControlFocusSlider = AVCaptureSlider("Focus", symbolName: "dot.square", in: 0.0...1.0) self.cameraControlFocusSlider!.setActionQueue(self.sessionQueue) { focusValue in //Do manual focus } if self.session.canAddControl(self.cameraControlFocusSlider!) { self.session.addControl(self.cameraControlFocusSlider!) } } } So there are these AVCaptureSessionControlsDelegate methods: final func sessionControlsDidBecomeActive(_ session: AVCaptureSession) { print ("sessionControlsDidBecomeActive") } final func sessionControlsWillEnterFullscreenAppearance(_ session: AVCaptureSession) { print ("sessionControlsWillEnterFullscreenAppearance") } final func sessionControlsWillExitFullscreenAppearance(_ session: AVCaptureSession) { print ("sessionControlsWillExitFullscreenAppearance") } final func sessionControlsDidBecomeInactive(_ session: AVCaptureSession) { print ("sessionControlsDidBecomeInactive") } So when self.cameraControlFocusSlider is presented, I have to show the current value of the lense position. Lens position can change from auto focus and also from manual focus by the user using the app UI. Is there a way to see if self.cameraControlFocusSlider is active or being used? Please note that I will have more than one AVCaptureSlider in the final code.

I want to create a Live Photo. The project includes a .jpg image and a .mov video (2 seconds). Two permissions in xcode have been added: Privacy - Photo Library Usage Description Privacy - Photo Library Additions Usage Description Simulate: iphone 16, ios 18.3 The codes in ContentView.swift : private func saveLivePhoto(imageURL: URL, videoURL: URL, completion: @escaping (Bool, Error?) -> Void) { PHPhotoLibrary.shared().performChanges { let creationRequest = PHAssetCreationRequest.forAsset() let options = PHAssetResourceCreationOptions() options.shouldMoveFile = false creationRequest.addResource(with: .photo, fileURL: imageURL, options: options) creationRequest.addResource(with: .pairedVideo, fileURL: videoURL, options: options) } completionHandler: { success, error in DispatchQueue.main.async { print(error) completion(success, error) } } } guard let imageURL = Bundle.main.url(forResource: "livephoto", withExtension: "jpeg"), let videoURL = Bundle.main.url(forResource: "livephoto", withExtension: "mov") else { showAlertMessage(title: "error", message: "cant find Live Photo ") return } print("imageURL: \(imageURL)") print("videoURL: \(videoURL)") saveLivePhoto(imageURL: imageURL, videoURL: videoURL) { success, error in if success { xxxxx } else { xxxxx } } Really need help, thanks

Hello! In iOS1.7.5, photogrammetry sessions cannot be performed on iPhones without LiDAR, but I don't think there is much difference in GPU performance between those with and without LiDAR. For example, the chips installed in the iPhone 14 Pro and iPhone 15 are the same A16 Bionic, and I think the GPU performance is also the same. Despite this, photogrammetry can be performed on the iPhone 14 Pro but not on the iPhone 15. Why is this? In fact, we have confirmed that if you transfer images taken with an iPhone 16 without LiDAR to an iPhone 16 Pro and run a photogrammetry session using those images, a 3D model can be generated. Also, will photogrammetry be able to be performed on high-performance iPhones without LiDAR in the future?

My app is a camera app that supports Picture-in-Picture (PiP) mode. Normally, when the device rotates, I get the device orientation from iOS and use it to rotate the camera feed so that the preview stays correctly aligned. However, when the app enters PiP mode, it is considered to be in the background, and I can no longer receive orientation updates from the system. As a result, I can’t apply rotation corrections to the camera video in PiP mode. Is there any way to retrieve device orientation while the app is in the background (specifically during PiP mode)? Any guidance would be greatly appreciated. Thank you!

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?

Hi, I'm developing a SwiftUI app using RealityKit and ARKit for an AR measuring feature. I’ve noticed that after navigating away from my AR view and performing extensive cleanup (including removing all anchors/entities, pausing the ARSession, and nil-ing out all references), memory usage remains elevated and sometimes grows with repeated AR sessions. Each time I enter and exit the AR view, memory increases The memory does not return to the baseline after cleanup, even though all custom objects are deallocated. Are there best practices beyond what I’ve described to ensure all ARKit/RealityKit resources are released after an AR session?