I want to capture the RGB frame and depth map of frame on button click. The RGB frame is sent to an image classifier and the output is spoken on audio channel. I'm able to capture the RGB data using AVCaptureSession and it works well as intended. However, when I configure and run the ARSession, the app freezes on the first frame, (preview of RGB camera). It captures and saves the depth map but the RGB image isn't captured anymore.     @Published var isTaken = false     @Published var session = AVCaptureSession()     @Published var ARsession = ARSession()     @Published var alert = false     @Published var output = AVCapturePhotoOutput()     @Published var depthMap: [Float32] = []     // preview layer of camera     @Published var preview: AVCaptureVideoPreviewLayer!     @Published var isSaved = false     // to save the captured image     @Published var picData = Data(count: 0)          var classifier = Classifier()     var speachSynthesizer = SpeechSynthesizer()          // handle permissions     func check(){         switch AVCaptureDevice.authorizationStatus(for: .video){                      case .notDetermined:             // ask f or permission             AVCaptureDevice.requestAccess(for: .video) { status in                 if status{                     self.setup()                 }             }         case .denied:             self.alert.toggle()             return         case .authorized:             //setup session             setup()             ARSetup()                          return         @unknown default:             return         }     }          // setup session     func setup(){                  do{                          let device = AVCaptureDevice.default(.builtInDualCamera, for: .video, position: .back)             self.session.beginConfiguration()             // change .builtinDualCamera to microphone for audio, for: can be changed for depth data                          let input = try AVCaptureDeviceInput(device: device!)                          if self.session.canAddInput(input){                 self.session.addInput(input)             }                          if self.session.canAddOutput(output){                 self.session.addOutput(output)             }                          self.session.commitConfiguration()                     }catch{             print(error.localizedDescription)         }                       }          func ARSetup(){         self.ARsession.delegate = self         let configuration = ARWorldTrackingConfiguration()         if ARWorldTrackingConfiguration.supportsFrameSemantics(.sceneDepth){             configuration.frameSemantics = .sceneDepth             print("AR configured...")         }         self.ARsession.run(configuration)          }          func takePic(){         DispatchQueue.global(qos: .background).async {             self.output.capturePhoto(with: AVCapturePhotoSettings(), delegate: self)             self.captureDepth()             //self.session.stopRunning()         }     }          func photoOutput(_ output: AVCapturePhotoOutput, didFinishProcessingPhoto photo: AVCapturePhoto, error: Error?) {         if error != nil{             return         }                  print("Picture Taken....")                 guard let imageData = photo.fileDataRepresentation() else {return}                  self.picData = imageData         predict()                       }               func predict(){         let ciImage = CIImage(data: self.picData)         classifier.detect(ciImage: ciImage!)         print(classifier.result)         self.speachSynthesizer.speak(text: classifier.result!)                  //uploadImage(data: self.picData, filename: classifier.result!)              }                         func captureDepth(){         if let currentFrame = self.ARsession.currentFrame{             print("depth captured...")             guard let depthData = currentFrame.sceneDepth?.depthMap else {return}             self.saveDepth(depthData: depthData)         }     }          func saveDepth(depthData: CVPixelBuffer){         let width = CVPixelBufferGetWidth(depthData)         let height = CVPixelBufferGetHeight(depthData)         //let depthSize = CGSize(width: width, height: height)                  let ciImage = CIImage(cvPixelBuffer: depthData)         let context = CIContext.init(options: nil)         guard let cgImageRef = context.createCGImage(ciImage, from: CGRect(x: 0, y: 0, width: width, height: height)) else {return}         let uiImage = UIImage(cgImage: cgImageRef)         print("depth saved...")         UIImageWriteToSavedPhotosAlbum(uiImage, nil, nil, nil)     }                    }

Hi, I have to develop an app to let the patients record a 20-30 seconds long video, upload it and show them some insights about it. I know that both carekit and researchkit support charts to provide insights but which one of them will allow me to show a view controller to record the video? Thanks for your time.