Micso2.cs

using System;
using System.Threading;
using Emgu.CV;
using Emgu.CV.Linemod;
using Emgu.CV.Structure;

public class MicrophoneListener : IDisposable
{
    private readonly Microphone _microphone;
    private readonly Level _level;
    private readonly VideoCapture _videoCapture;

    public MicrophoneListener(MicrophoneListener microphone, Level level, VideoCapture videoCapture)
    {
       var _microphone = microphone;
       var _level = level;
        var _videoCapture = videoCapture;

        var _microphone.VolumeChanged += OnVolumeChanged;
    }

    private void OnVolumeChanged(object sender, VolumeChangedEventArgs e)
    {
        if (e.NewValue > _level.Value)
        {
            // Start recording audio and video
            _microphone.StartRecording();
            _videoCapture.StartRecording();
        }
    }

    public void Dispose()
    {
        _microphone.StopRecording();
        _videoCapture.StopRecording();
    }
}

/// <summary>
/// Define the `Level` class to represent the threshold for starting recording:
/// </summary>
public class Level
{
    private int _value;

    public Level(int value)
    {
        _value = value;
    }

    public int Value
    {
        get { return _value; }
    }
}
 



using Emgu.CV.Structure;

/// <summary>
/// Create a `VideoCapture` instance to capture the video stream:
/// </summary>
public class VideoCapture
{
    private readonly VideoCaptureDevice _device;

    public VideoCapture(VideoCaptureDevice device)
    {
        _device = device;
    }

    public void StartRecording()
    {
        // Start recording the video stream
        _device.StartRecording();
    }

    public void StopRecording()
    {
        // Stop recording the video stream
        _device.StopRecording();
    }
}
```
4.Define a `FaceDetector` class to detect faces in the video stream:
```
using Emgu.CV.Objects;
 
public class FaceDetector
{
    private readonly CascadeClassifier _cascade;

    public FaceDetector(CascadeClassifier cascade)
    {
        _cascade = cascade;
    }

    public void DetectFaces(Image<Gray, Byte> image)
    {
        // Detect faces in the image
        _cascade.DetectMultiScale(image, new GrayRect(new Size(30, 30), new Point(10, 10)), 1.1, 2);
    }
}
```
5.Create a `MicrophoneListener` instance to start recording audio and video when the level passes the
threshold:
```
using System;
using System.Threading;
using Emgu.CV;
using Emgu.CV.Structure;
 
public class MicrophoneListener : IDisposable
{
    private readonly Microphone _microphone;
    private readonly Level _level;
    private readonly VideoCapture _videoCapture;
    private readonly FaceDetector _faceDetector;

    public MicrophoneListener(Microphone microphone, Level level, VideoCapture videoCapture,
FaceDetector faceDetector)
    {
        _microphone = microphone;
        _level = level;
        _videoCapture = videoCapture;
        _faceDetector = faceDetector;

        _microphone.VolumeChanged += OnVolumeChanged;
    }

    private void OnVolumeChanged(object sender, VolumeChangedEventArgs e)
    {
        if (e.NewValue > _level.Value)
        {
            // Start recording audio and video
            _microphone.StartRecording();
            _videoCapture.StartRecording();

            // Detect faces in the video stream
            Image<Gray, Byte> image = new Image<Gray, Byte>(_videoCapture.GetFrame());
            _faceDetector.DetectFaces(image);
        }
    }

    public void Dispose()
    {
        _microphone.StopRecording();
        _videoCapture.StopRecording();
    }
}