Hello!
I'm experiencing an issue with iOS's audio routing system when trying to use Bluetooth headphones for audio output while also recording environmental audio from the built-in microphone.
Desired behavior:
Play audio through Bluetooth headset (AirPods)
Record unprocessed environmental audio from the iPhone's built-in microphone
Actual behavior:
When explicitly selecting the built-in microphone, iOS reports it's using it (in currentRoute.inputs)
However, the actual audio data received is clearly still coming from the AirPods microphone
The audio is heavily processed with voice isolation/noise cancellation, removing environmental sounds
Environment Details
Device: iPhone 12 Pro Max
iOS Version: 18.4.1
Hardware: AirPods
Audio Framework: AVAudioEngine (also tried AudioQueue)
Code Attempted
I've tried multiple approaches to force the correct routing:
func configureAudioSession() {
let session = AVAudioSession.sharedInstance()
// Configure to allow Bluetooth output but use built-in mic
try? session.setCategory(.playAndRecord,
options: [.allowBluetoothA2DP, .defaultToSpeaker])
try? session.setActive(true)
// Explicitly select built-in microphone
if let inputs = session.availableInputs,
let builtInMic = inputs.first(where: { $0.portType == .builtInMic }) {
try? session.setPreferredInput(builtInMic)
print("Selected input: \(builtInMic.portName)")
}
// Log the current route
let route = session.currentRoute
print("Current input: \(route.inputs.first?.portName ?? "None")")
// Configure audio engine with native format
let inputNode = audioEngine.inputNode
let nativeFormat = inputNode.inputFormat(forBus: 0)
inputNode.installTap(onBus: 0, bufferSize: 1024, format: nativeFormat) { buffer, time in
// Process audio buffer
// Despite showing "Built-in Microphone" in route, audio appears to be
// coming from AirPods with voice isolation applied - welp!
}
try? audioEngine.start()
}
I've also tried various combinations of:
Different audio session modes (.default, .measurement, .voiceChat)
Different option combinations (with/without .allowBluetooth, .allowBluetoothA2DP)
Setting session.setPreferredInput() both before and after activation
Diagnostic Observations
When AirPods are connected:
AVAudioSession.currentRoute.inputs correctly shows "Built-in Microphone" after setPreferredInput()
The actual audio data received shows clear signs of AirPods' voice isolation processing
Background/environmental sounds are actively filtered out...
When recording a test audio played near the phone (not through the app), the recording is nearly silent. Only headset voice goes through.
Questions
Is there a workaround to force iOS to actually use the built-in microphone while maintaining Bluetooth output?
Are there any lower-level configurations that might resolve this issue?
Any insights, workarounds, or suggestions would be greatly appreciated. This is blocking a critical feature in my application that requires environmental audio recording while providing audio feedback through headphones 😅
Explore the integration of media technologies within your app. Discuss working with audio, video, camera, and other media functionalities.
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Everytime I put my AirPods in and connect them to my phone or my Mac or my iPad since the iOS 18.3 update on my devices they’ve been disconnecting without reason, pausing songs I’m in the middle of playing, and only partially reconnecting in one pod and it’s getting really frustrating
Topic:
Media Technologies
SubTopic:
Audio
Hello,
i can successfully match music using shazamkit on Apple using SwiftUI, a simple app that let user to load an audio file and exctracts the relative match, while i am unable to match music using shamzamkit on Android. I am trying to make the same simple app but i cannot match music as i get MATCH_ATTEMPT_FAILED every time i try to. I don't know what i am doing wrong but the shazam part in the kotlin Android code is in this method :
suspend fun processAudioFileInBackground(
filePath: String,
developerTokenProvider: DeveloperTokenProvider
) = withContext(Dispatchers.IO) {
val bufferSize = 1024 * 1024
val audioFile = FileInputStream(filePath)
val byteBuffer = ByteBuffer.allocate(bufferSize)
byteBuffer.order(ByteOrder.LITTLE_ENDIAN)
var bytesRead: Int
while (audioFile.read(byteBuffer.array()).also { bytesRead = it } != -1) {
val signatureGenerator = (ShazamKit.createSignatureGenerator(AudioSampleRateInHz.SAMPLE_RATE_44100) as ShazamKitResult.Success).data
signatureGenerator.append(byteBuffer.array(), bytesRead, System.currentTimeMillis())
val signature = signatureGenerator.generateSignature()
println("Signature: ${signature.durationInMs}")
val catalog = ShazamKit.createShazamCatalog(developerTokenProvider, Locale.ENGLISH)
val session = (ShazamKit.createSession(catalog) as ShazamKitResult.Success).data
val matchResult = session.match(signature)
println("MatchResult : $matchResult")
setMatchResult(matchResult)
byteBuffer.clear()
}
audioFile.close()
}
I noticed that changing Locale in catalog creation results in different result as i get NoMatch without exception. Can you please help me with this? Do i need to create a custom catalog?
I'm trying to implement Ambisonic B-Format audio playback on Vision Pro with head tracking. So far audio plays, head tracking works, and the sound appears to be stereo. The problem is that it is not a proper binaural playback when compared to playing back the audiofile with a DAW. Has anyone successfully implemented B-Format playback on Vision Pro? Any suggestions on my current implementation:
func playAmbiAudioForum() async {
do {
try AVAudioSession.sharedInstance().setCategory(.playback)
try AVAudioSession.sharedInstance().setActive(true)
// AudioFile laoding/preperation
guard let testFileURL = Bundle.main.url(forResource: "audiofile", withExtension: "wav") else {
print("Test file not found")
return
}
let audioFile = try AVAudioFile(forReading: testFileURL)
let audioFileFormat = audioFile.fileFormat
// create AVAudioFormat with Ambisonics B Format
guard let layout = AVAudioChannelLayout(layoutTag: kAudioChannelLayoutTag_Ambisonic_B_Format) else {
print("layout failed")
return
}
let format = AVAudioFormat(
commonFormat: audioFile.processingFormat.commonFormat,
sampleRate: audioFile.fileFormat.sampleRate,
interleaved: false,
channelLayout: layout
)
// write audiofile to buffer
guard let buffer = AVAudioPCMBuffer(pcmFormat: format, frameCapacity: UInt32(audioFile.length)) else {
print("buffer failed")
return
}
try audioFile.read(into: buffer)
playerNode.renderingAlgorithm = .HRTF
// connecting nodes
audioEngine.attach(playerNode)
audioEngine.connect(playerNode, to: audioEngine.outputNode, format: format)
audioEngine.prepare()
playerNode.scheduleBuffer(buffer, at: nil) {
print("File finished playing")
}
try audioEngine.start()
playerNode.play()
} catch {
print("Setup error:", error)
}
}
My app allows users to capture and save videos to the Photos app using the following Swift code:
PHPhotoLibrary.shared().performChanges {
PHAssetChangeRequest.creationRequestForAssetFromVideo(atFileURL: fileURL)
} completionHandler: { success, error in
Videos are successfully saved to Photos and play correctly. However, users report that when they AirDrop these videos from the Photos app to another device (e.g., iPad to iPhone), the videos are saved in the Files app on the receiving device instead of the Photos app. This issue is more common with higher-resolution videos, such as 2K, recorded in HEVC format at 30 fps.
I wasn't able to reproduce the issue locally.
I've found a thread in public apple forum: https://discussions.apple.com/thread/255276865?sortBy=rank but I wonder maybe there are some special flags that I should clear or add to my videos (e.g. PHAssetChangeRequest)?
Thank you!
I have added some custom views on my pip. These controls disappeared after opening the camera in the Xcode16 environment and iOS 18 system, and it was found that these custom views were not removed and seemed to be obscured. They were displayed normally in the Xcode15.4 environment. I would like to ask how to make my custom views display normally
Topic:
Media Technologies
SubTopic:
Video
According to the header file the outputVolume properties supported range is 0.0-1.0:
/*! @property outputVolume
@abstract The mixer's output volume.
@discussion
This accesses the mixer's output volume (0.0-1.0, inclusive).
@property (nonatomic) float outputVolume;
However when setting the volume to 2.0 the audio does indeed play louder. Is the header file out of date and if so, what is the supported range for outputVolume?
Thanks
We have the necessary background recording entitlements, and for many users... do not run into any issues.
However, there is a subset of users that routinely get recordings ending.. we have narrowed this down and believe it to be the work of the watch dog.
First we removed the entire view hierarchy when app is backgrounded. There is just 'Text("Recording")'
This got the CPU usage in profiler down to 0%. We saw massive improvements to recording success rate.
We walked away assuming that was enough. However we are still seeing the same sort of crashes. All in the background. We're using Observation to drive audio state changes to a Live Activity.
Are those Observations causing the problem? Why doesn't apple provide a better API to background audio? The internet is full of weird issues
https://stackoverflow.com/questions/76010213/why-is-my-react-native-app-sometimes-terminated-in-the-background-while-tracking
https://stackoverflow.com/questions/71656047/why-is-my-react-native-app-terminating-in-the-background-while-recording-ios-r
https://github.com/expo/expo/issues/16807
This is such a terrible user experience. And we have very little visibility into what is happening and why.
No where in apple documentation states that in order for background recording to work, the app can only be 'Text("Recording")'
It does not outline a CPU or memory threshold. It just kills us.
How can I setup correctly AVSampleBufferDisplayLayer for video display when I have input picture format kCVPixelFormatType_32BGRA?
Currently video i visible in simulator, but not iPhone, miss I something?
Render code:
var pixelBuffer: CVPixelBuffer?
let attrs: [String: Any] = [
kCVPixelBufferPixelFormatTypeKey as String: kCVPixelFormatType_32BGRA,
kCVPixelBufferWidthKey as String: width,
kCVPixelBufferHeightKey as String: height,
kCVPixelBufferBytesPerRowAlignmentKey as String: width * 4,
kCVPixelBufferIOSurfacePropertiesKey as String: [:]
]
let status = CVPixelBufferCreateWithBytes(
nil,
width,
height,
kCVPixelFormatType_32BGRA,
img,
width * 4,
nil,
nil,
attrs as CFDictionary,
&pixelBuffer
)
guard status == kCVReturnSuccess, let pb = pixelBuffer else { return }
var formatDesc: CMVideoFormatDescription?
CMVideoFormatDescriptionCreateForImageBuffer(
allocator: nil,
imageBuffer: pb,
formatDescriptionOut: &formatDesc
)
guard let format = formatDesc else { return }
var timingInfo = CMSampleTimingInfo(
duration: .invalid,
presentationTimeStamp: currentTime,
decodeTimeStamp: .invalid
)
var sampleBuffer: CMSampleBuffer?
CMSampleBufferCreateForImageBuffer(
allocator: kCFAllocatorDefault,
imageBuffer: pb,
dataReady: true,
makeDataReadyCallback: nil,
refcon: nil,
formatDescription: format,
sampleTiming: &timingInfo,
sampleBufferOut: &sampleBuffer
)
if let sb = sampleBuffer {
if CMSampleBufferGetPresentationTimeStamp(sb) == .invalid {
print("Invalid video timestamp")
}
if (displayLayer.status == .failed) {
displayLayer.flush()
}
DispatchQueue.main.async { [weak self] in
guard let self = self else {
print("Lost reference to self drawing")
return
}
displayLayer.enqueue(sb)
}
frameIndex += 1
}
Hi,
I'm working on an audio mixing app, that comes with bundled audio units that provide some of the app's core functionality.
For the next release of that app, we are planning to make two changes:
make the app sandboxed
package the bundled audio units as .appex bundles instead as .component bundles, so we don't need to take care of the installation at the correct spot in the file system
When trying this new approach, we run into problems where [[AVAudioUnitEffect alloc] initWithAudioComponentDescription:] crashes when trying to load our audio unit with the exception:
AVAEInternal.h:109 [AUInterface.mm:468:AUInterfaceBaseV3: (AudioComponentInstanceNew(comp, &_auv2)): error -10863
Our audio unit has the `sandboxSafe flag enabled, and loads fine when the host app is not sandboxed, so I'm guessing I got the bundle id/code signing requirements for the .appex correct.
It seems, that my .appex isn't even loaded, and the system rejects it because of its metadata. Maybe there something wrong the Info.plist generated by Juice?
"BuildMachineOSBuild" => "23H222"
"CFBundleDisplayName" => "elgato_sample_recorder"
"CFBundleExecutable" => "ElgatoSampleRecorder"
"CFBundleIdentifier" => "com.iwascoding.EffectLoader.samplerecorderAUv3"
"CFBundleName" => "elgato_sample_recorder"
"CFBundlePackageType" => "XPC!"
"CFBundleShortVersionString" => "1.0.0.0"
"CFBundleSignature" => "????"
"CFBundleSupportedPlatforms" => [
0 => "MacOSX"
]
"CFBundleVersion" => "1.0.0.0"
"DTCompiler" => "com.apple.compilers.llvm.clang.1_0"
"DTPlatformBuild" => "24C94"
"DTPlatformName" => "macosx"
"DTPlatformVersion" => "15.2"
"DTSDKBuild" => "24C94"
"DTSDKName" => "macosx15.2"
"DTXcode" => "1620"
"DTXcodeBuild" => "16C5032a"
"LSMinimumSystemVersion" => "10.13"
"NSExtension" => {
"NSExtensionAttributes" => {
"AudioComponents" => [
0 => {
"description" => "Elgato Sample Recorder"
"factoryFunction" => "elgato_sample_recorderAUFactoryAUv3"
"manufacturer" => "Manu"
"name" => "Elgato: Elgato Sample Recorder"
"sandboxSafe" => 1
"subtype" => "Znyk"
"tags" => [
0 => "Effects"
]
"type" => "aufx"
"version" => 65536
}
]
}
"NSExtensionPointIdentifier" => "com.apple.AudioUnit-UI"
"NSExtensionPrincipalClass" => "elgato_sample_recorderAUFactoryAUv3"
}
"NSHighResolutionCapable" => 1
}
Any ideas what I am missing?
I've got a web app built with MusicKit that displays a list of songs.
I have player controls for play, pause, skip next, skip, previous, toggle shuffle and set repeat mode.
All of these work by using music.
The play button, when nothing is playing and nothing is in the queue, will enqueue all the tracks and start playing with the below, for example:
await music.setQueue({ songs, startPlaying: true });
I've implemented a progress slider based on feedback from the "playbackProgressDidChange" listener.
Now, how in the world can I set the volume? This seems like it should be simple, but I am at a complete loss here.
The docs say:
"The volume of audio playback, which is set directly on the HTMLMediaElement as the HTMLMediaElement.volume property. This value ranges between 0, which would be muting the audio, and 1, which would be the loudest possible."
Given that all my controls work off the music instance, I don't understand how I can do that.
In this video from WWDC 2022, music web components are touched on briefly. These are also documented very sparsely. The volume docs are here.
For the life of me, I can't even get the volume web component to display in the UI.
It appears that MusicKit Web is hobbled compared to the native implementation, but surely adjusting volume shouldn't be that hard right?
I'd appreciate any insight on how to do this, including how to get web components to work (in a Next JS app).
Thanks.
iPadOS 18.3 beta 3 (22D5055b) fixed the issue for me and my 7th generation iPad.
Topic:
Media Technologies
SubTopic:
Audio
who can help me to make app for iOS with XCode
Topic:
Media Technologies
SubTopic:
Streaming
Hey - I am developing an app that uses the camera for recording video. I put the ability to choose a framerate and resolution and all combinations work perfectly fine, except for 4k 120fps for the new iPhone 16 pro. This just shows black on the preview. I tried to record even though the preview was black, but the recording is also just a black screen. Is there anything special that needs to be done in the camera setup for 4k 120fps to work? I have my camera setup code attached. Is it possible this is a bug in Apple's code, since this works with every other combination (1080p up to 240fps and 4k up to 60fps)?
Thanks so much for the help.
class CameraManager: NSObject {
enum Errors: Error {
case noCaptureDevice
case couldNotAddInput
case unsupportedConfiguration
}
enum Resolution {
case hd1080p
case uhd4K
var preset: AVCaptureSession.Preset {
switch self {
case .hd1080p:
return .hd1920x1080
case .uhd4K:
return .hd4K3840x2160
}
}
var dimensions: CMVideoDimensions {
switch self {
case .hd1080p:
return CMVideoDimensions(width: 1920, height: 1080)
case .uhd4K:
return CMVideoDimensions(width: 3840, height: 2160)
}
}
}
enum CameraType {
case wide
case ultraWide
var captureDeviceType: AVCaptureDevice.DeviceType {
switch self {
case .wide:
return .builtInWideAngleCamera
case .ultraWide:
return .builtInUltraWideCamera
}
}
}
enum FrameRate: Int {
case fps60 = 60
case fps120 = 120
case fps240 = 240
}
let orientationManager = OrientationManager()
let captureSession: AVCaptureSession
let previewLayer: AVCaptureVideoPreviewLayer
let movieFileOutput = AVCaptureMovieFileOutput()
let videoDataOutput = AVCaptureVideoDataOutput()
private var videoCaptureDevice: AVCaptureDevice?
override init() {
self.captureSession = AVCaptureSession()
self.previewLayer = AVCaptureVideoPreviewLayer(session: self.captureSession)
super.init()
self.previewLayer.videoGravity = .resizeAspect
}
func configureSession(resolution: Resolution, frameRate: FrameRate, stabilizationEnabled: Bool, cameraType: CameraType, sampleBufferDelegate: AVCaptureVideoDataOutputSampleBufferDelegate?) throws {
assert(Thread.isMainThread)
captureSession.beginConfiguration()
defer { captureSession.commitConfiguration() }
captureSession.sessionPreset = resolution.preset
if captureSession.canAddOutput(movieFileOutput) {
captureSession.addOutput(movieFileOutput)
} else {
throw Errors.couldNotAddInput
}
videoDataOutput.setSampleBufferDelegate(sampleBufferDelegate, queue: DispatchQueue(label: "VideoDataOutputQueue"))
if captureSession.canAddOutput(videoDataOutput) {
captureSession.addOutput(videoDataOutput)
// Set the video orientation if needed
if let connection = videoDataOutput.connection(with: .video) {
//connection.videoOrientation = .portrait
}
} else {
throw Errors.couldNotAddInput
}
guard let videoCaptureDevice = AVCaptureDevice.default(cameraType.captureDeviceType, for: .video, position: .back) else {
throw Errors.noCaptureDevice
}
let useDimensions = resolution.dimensions
guard let format = videoCaptureDevice.formats.first(where: { format in
let dimensions = CMVideoFormatDescriptionGetDimensions(format.formatDescription)
let isRes = dimensions.width == useDimensions.width && dimensions.height == useDimensions.height
let frameRates = format.videoSupportedFrameRateRanges
return isRes && frameRates.contains(where: { $0.maxFrameRate >= Float64(frameRate.rawValue) })
}) else {
throw Errors.unsupportedConfiguration
}
self.videoCaptureDevice = videoCaptureDevice
do {
let videoInput = try AVCaptureDeviceInput(device: videoCaptureDevice)
if captureSession.canAddInput(videoInput) {
captureSession.addInput(videoInput)
} else {
throw Errors.couldNotAddInput
}
try videoCaptureDevice.lockForConfiguration()
videoCaptureDevice.activeFormat = format
videoCaptureDevice.activeVideoMinFrameDuration = CMTime(value: 1, timescale: CMTimeScale(frameRate.rawValue))
videoCaptureDevice.activeVideoMaxFrameDuration = CMTime(value: 1, timescale: CMTimeScale(frameRate.rawValue))
videoCaptureDevice.activeMaxExposureDuration = CMTime(seconds: 1.0 / 960, preferredTimescale: 1000000)
videoCaptureDevice.exposureMode = .locked
videoCaptureDevice.unlockForConfiguration()
} catch {
throw error
}
configureStabilization(enabled: stabilizationEnabled)
}`
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!
Topic:
Media Technologies
SubTopic:
Photos & Camera
Tags:
ML Compute
Machine Learning
Camera
AVFoundation
Will the restrictions on callkit be lifted in China in 2025? If so, how can you legally use callkit in China?
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.
Context
We develop an iOS/Apple TV app that allows to play HLS+FP Live streams (custom playback UI), some of which use the same FairPlay content key id. All FairPlay content keys are requested to the same content key server.
Implementation
Despite Apple documentation warning to not reuse AVContentKeySessions, we use only one AVContentKeySession for all channels which allows the system to reuse the content key when a content key id is met again. As seen in another thread, people seems to think this is OK.
Issue
When reusing the AVContentKeySession and the user quickly tunes channels multiple times (up to 2 or 3 times per second using gestures), an inconsistency may occur where the content key request for a previous streams is asked to the delegate after a new stream is already being prepared and its AVURLAsset already assigned as the content key session AVContentKeyRecipient. Note that the previous content key recipient is removed before the new one is added.
We also have been reported for crashes (though I haven't experienced it myself) when performing multiple channels tunings which makes us think that the AVContentKeySession should definitely not been reused.
Note: On the other hand if a new AVContentKeySession is used for each stream, the system systematically requests a content key even if previous streams have used the same content key id. In this case, neither the crash nor the inconsistency issue are observed but it dramatically increases the number of calls to the content key server.
Questions
Should AVContentKeySessions definitely not be reused? Otherwise, how to handle the inconsistency issue described above?
Capturing more than one display is no longer working with macOS Sequoia.
We have a product that allows users to capture up to 2 displays/screens. Our application is using gstreamer which in turn is based on AVFoundation.
I found a quick way to replicate the issue by just running 2 captures from separate terminals. Assuming display 1 has device index 0, and display 2 has device index 1, here are the steps:
install gstreamer with
brew install gstreamer
Then open 2 terminal windows and launch the following processes:
terminal 1 (device-index:0):
gst-launch-1.0 avfvideosrc -e device-index=0 capture-screen=true ! queue ! videoscale ! video/x-raw,width=640,height=360 ! videoconvert ! osxvideosink
terminal 2 (device-index:1):
gst-launch-1.0 avfvideosrc -e device-index=1 capture-screen=true ! queue ! videoscale ! video/x-raw,width=640,height=360 ! videoconvert ! osxvideosink
The first process that is launched will show the screen, the second process launched will not.
Testing this on macOS Ventura and Sonoma works as expected, showing both screens.
I submitted the same issue on Feedback Assistant: FB15900976
Hello, we have HLS Stream app on Apple TV. Our streams are DRM protected. We have problem with streams when source device is turned off. For example, user start to watch our HLS DRM Protected content. After some time, user turns off device (it can be Monitor or TV via connected HDMI). Our app does not understand HDMI Source device turned off. Is there any way to understand HDMI connected device is turned off on Swift?
Topic:
Media Technologies
SubTopic:
Streaming
Tags:
FairPlay Streaming
Swift
Apple TV
HTTP Live Streaming