Sure, here's an example Kivy application that captures video and audio from the camera and microphone, respectively:
```python
import cv2
import numpy as np
import audiosegment
import time

from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.image import Image
from kivy.clock import Clock
from kivy.graphics.texture import Texture
from kivy.core.window import Window
from kivy.uix.label import Label

class VideoCapture:
    def __init__(self, capture_width=640, capture_height=480):
        self.capture_width = capture_width
        self.capture_height = capture_height
        self.capture = cv2.VideoCapture(0)

    def capture_frame(self):
        ret, frame = self.capture.read()
        if ret:
            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
            return frame

    def stop_capture(self):
        self.capture.release()

class AudioCapture:
    def __init__(self, sample_rate=44100, chunk_size=1024):
        self.sample_rate = sample_rate
        self.chunk_size = chunk_size
        self.frames = []

    def start_capture(self):
        self.frames = []
        self.audio_thread = audiosegment.Recorder(self.sample_rate, self.chunk_size)
        self.audio_thread.start()

    def capture_frame(self):
        if self.audio_thread is None:
            return None
        data = self.audio_thread.record(self.chunk_size)
        self.frames.append(data)
        return data

    def stop_capture(self):
        self.audio_thread.stop()

class MainApp(App):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self.video_capture = VideoCapture()
        self.audio_capture = AudioCapture()

    def build(self):
        self.image = Image()
        self.label = Label(text="Press Start to begin capturing audio and video")
        layout = BoxLayout(orientation='vertical')
        layout.add_widget(self.image)
        layout.add_widget(self.label)
        return layout

    def start_capture(self):
        self.video_capture = VideoCapture()
        self.audio_capture = AudioCapture()
        Clock.schedule_interval(self.update_image, 1.0 / 30.0)

    def stop_capture(self):
        self.video_capture.stop_capture()
        self.audio_capture.stop_capture()

    def update_image(self, dt):
        # capture video frame
        frame = self.video_capture.capture_frame()

        # capture audio frame
        audio_frame = self.audio_capture.capture_frame()

        if frame is None:
            return

        if audio_frame is not None:
            audio_data = np.array(audio_frame, dtype=np.float32)
            audio_segment = audiosegment.AudioSegment.silent(duration=len(audio_data)/self.audio_capture.sample_rate)
            audio_segment.data = audio_data
            audio_segment.export("audio.wav")

        # convert numpy array to texture for displaying in Kivy
        texture = Texture.create(size=(frame.shape[1], frame.shape[0]), colorfmt='rgb')
        texture.blit_buffer(frame.flatten(), colorfmt='rgb', bufferfmt='ubyte')

        # update image in Kivy
        self.image.texture = texture

    def on_stop(self):
        self.video_capture.stop_capture()
        self.audio_capture.stop_capture()

if __name__ == '__main__':
    app = MainApp()
    app.run()
```
This Kivy application uses the same approach as the previous example to capture video and audio from the camera and microphone, respectively. The `VideoCapture` class uses OpenCV to capture video frames from the camera, while the `AudioCapture` class uses the `audiosegment` package to capture audio frames from the microphone.

The `MainApp` class creates a Kivy layout
물론 카메라와 마이크에서 각각 비디오와 오디오를 캡처하는 Kivy 애플리케이션의 예는 다음과 같습니다:
```python
import cv2
import numpy as np
import audiosegment
import time

kivy.app에서 App을 가져옵니다.
kivy.uix.boxlayout에서 BoxLayout을 가져옵니다.
from kivy.uix.image import Image
kivy.clock에서 시계 가져오기
kivy.graphics.texture에서 Texture 가져오기
kivy.core.window에서 창을 가져옵니다.
kivy.uix.label에서 Label 임포트

비디오캡쳐 클래스:
    def __init__(self, capture_width=640, capture_height=480):
        self.capture_width = capture_width
        self.capture_height = capture_height
        self.capture = cv2.VideoCapture(0)

    def capture_frame(self):
        ret, frame = self.capture.read()
        if ret:
            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
            반환 프레임

    def stop_capture(self):
        self.capture.release()

AudioCapture 클래스:
    def __init__(self, sample_rate=44100, chunk_size=1024):
        self.sample_rate = sample_rate
        self.chunk_size = chunk_size
        self.frames = []

    def start_capture(self):
        self.frames = []
        self.audio_thread = audiosegment.Recorder(self.sample_rate, self.chunk_size)
        self.audio_thread.start()

    def capture_frame(self):
        if self.audio_thread가 None:
            반환 None
        data = self.audio_thread.record(self.chunk_size)
        self.frames.append(data)
        데이터 반환

    def stop_capture(self):
        self.audio_thread.stop()

class MainApp(App):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        self.video_capture = VideoCapture()
        self.audio_capture = AudioCapture()

    def build(self):
        self.image = Image()
        self.label = Label(text="오디오 및 비디오 캡처를 시작하려면 시작을 누르세요")
        layout = BoxLayout(방향='세로')
        layout.add_widget(self.image)
        layout.add_widget(self.label)
        반환 레이아웃

    def start_capture(self):
        self.video_capture = VideoCapture()
        self.audio_capture = AudioCapture()
        clock.schedule_interval(self.update_image, 1.0 / 30.0)

    def stop_capture(self):
        self.video_capture.stop_capture()
        self.audio_capture.stop_capture()

    def update_image(self, dt):
        # 비디오 프레임 캡처
        frame = self.video_capture.capture_frame()

        # 오디오 프레임 캡처
        audio_frame = self.audio_capture.capture_frame()

        프레임이 None인 경우:
            반환

        오디오 프레임이 None이 아닌 경우:
            audio_data = np.array(audio_frame, dtype=np.float32)
            audio_segment = audiosegment.AudioSegment.silent(duration=len(audio_data)/self.audio_capture.sample_rate)
            audio_segment.data = audio_data
            audio_segment.export("audio.wav")

        # Kivy에 표시하기 위해 널 배열을 텍스처로 변환합니다.
        texture = Texture.create(size=(frame.shape[1], frame.shape[0]), colorfmt='rgb')
        texture.blit_buffer(frame.flatten(), colorfmt='rgb', bufferfmt='ubyte')

        # 키비에서 이미지 업데이트
        self.image.texture = texture

    def on_stop(self):
        self.video_capture.stop_capture()
        self.audio_capture.stop_capture()

if __name__ == '__main__':
    app = MainApp()
    app.run()
```
이 Kivy 애플리케이션은 이전 예제와 동일한 접근 방식을 사용하여 카메라와 마이크에서 각각 비디오와 오디오를 캡처합니다. VideoCapture` 클래스는 OpenCV를 사용하여 카메라에서 비디오 프레임을 캡처하고, `AudioCapture` 클래스는 `audiosegment` 패키지를 사용하여 마이크에서 오디오 프레임을 캡처합니다.

MainApp` 클래스는 Kivy 레이아웃을 생성합니다.