【ラズベリーパイ】監視カメラの作り方｜Pythonでカメラモジュールを自在に操作

lsb_release -a

sudo raspi-config

sudo python -m pip install --upgrade pip

sudo pip3 install opencv-python==4.5.1.48

pip install numpy==1.23.1

sudo apt update

sudo apt install libatlas3-base

import cv2

camera = cv2.VideoCapture(0)

while True:
  ret, frame = camera.read()
  if not ret:
    break

  cv2.imshow("Frame", frame)
  key = cv2.waitKey(1)
  
  # Escキーを入力されたら画面を閉じる
  if key == 27:
    break

camera.release()
cv2.destroyAllWindows()

import cv2

cap = cv2.VideoCapture(0)
ret, frame = cap.read()
cv2.imwrite('test.jpg', frame)
cap.release()

import cv2
import datetime

dt_now = datetime.datetime.now()
file_name = dt_now.strftime('%Y年%m月%d日%H時%M分%S秒')

cap = cv2.VideoCapture(0)
ret, frame = cap.read()
cv2.imwrite(file_name + '.jpg', frame)
cap.release()

sudo apt install python3-numpy

import cv2
import numpy as np
 
cap = cv2.VideoCapture(0)
 
fmt = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
fps = 20.0
size = (640, 360)
writer = cv2.VideoWriter('test.m4v', fmt, fps, size)
 
while True:
    _, frame = cap.read()
    frame = cv2.resize(frame, size)
    writer.write(frame)
     
    cv2.imshow('frame', frame)
    #escキーで終了
    if cv2.waitKey(1) == 27:
        break
 
writer.release()
cap.release()
cv2.destroyAllWindows()

import RPi.GPIO as GPIO
import cv2
import time
import datetime

GPIO_PIN = 18

GPIO.setmode(GPIO.BCM)
GPIO.setup(GPIO_PIN,GPIO.IN)

while True:
    if(GPIO.input(GPIO_PIN) == GPIO.HIGH):
       
        print("1")
       
        dt_now = datetime.datetime.now()
        file_name = dt_now.strftime('%Y年%m月%d日%H時%M分%S秒')
        print(file_name)
       
        cap = cv2.VideoCapture(0)
        ret, frame = cap.read()
        cv2.imwrite(file_name + '.jpg', frame)
        cap.release()
       
        time.sleep( 10 )
       
    else:
        print("0")
        time.sleep( 1 )
        

import RPi.GPIO as GPIO
import cv2
import time
import datetime
import numpy as np

GPIO_PIN = 18

GPIO.setmode(GPIO.BCM)
GPIO.setup(GPIO_PIN,GPIO.IN)

while True:
    if(GPIO.input(GPIO_PIN) == GPIO.HIGH):
        
        print("1")
        
        dt_now = datetime.datetime.now()
        file_name = dt_now.strftime('%Y年%m月%d日%H時%M分%S秒')
        print(file_name)
        
        #カメラ映像を保存する
        cap = cv2.VideoCapture(0)
        fmt = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
        fps = 20.0
        size = (640, 360)
        writer = cv2.VideoWriter((file_name + '.m4v'), fmt, fps, size)
        
        i = 0
        #60フレーム撮影する
        while i < 60:
            _, frame = cap.read()
            frame = cv2.resize(frame, size)
            writer.write(frame)
     
            i = i + 1
             
        writer.release()
        cap.release()
        
        time.sleep( 10 )
        
    else:
        print("0")
        time.sleep( 1 )
GPIO.cleanup()

import RPi.GPIO as GPIO
import cv2
import time
import datetime
import requests

#LINEメッセージ送信の関数
def send_message(Discovery_time):
    url = "https://notify-api.line.me/api/notify" 
    token = "トークンをここに入力"
    headers = {"Authorization" : "Bearer "+ token}
    files = {'imageFile': open("image.jpg", "rb")}
    message =  (Discovery_time,"侵入者あり")
    payload = {"message" :  message} 
    r = requests.post(url, headers = headers, params=payload, files=files)

#センサーを使う準備
GPIO_PIN = 18

GPIO.setmode(GPIO.BCM)
GPIO.setup(GPIO_PIN,GPIO.IN)

while True:
    if(GPIO.input(GPIO_PIN) == GPIO.HIGH):
        #センサー検出時の処理
        print("1")
        
        #検出時間の取得
        dt_now = datetime.datetime.now()
        Discovery_time = dt_now.strftime('%Y年%m月%d日%H時%M分%S秒')
        print(Discovery_time)
        
        #カメラ画像を保存する
        cap = cv2.VideoCapture(0)
        ret, frame = cap.read()
        cv2.imwrite("image.jpg", frame)
        cap.release()
        
        #LINEメッセージ送信
        send_message(Discovery_time)
        
        #10秒待機
        time.sleep( 10 )
        
    else:
        #センサー未検出時の処理
        print("0")
        time.sleep( 1 )
        
GPIO.cleanup()

import cv2 as cv

HAAR_FILE = \
"/usr/local/lib/python3.9/dist-packages/cv2/data/"\
"haarcascade_frontalface_default.xml"
cascade = cv.CascadeClassifier(HAAR_FILE)

cap = cv.VideoCapture(0)

while(True):
    ret, frame = cap.read()
    
    face = cascade.detectMultiScale(frame)

    for x, y, w, h in face:
        cv.rectangle(frame,(x,y),(x+w,y+h),(0,0,255),1)

    cv.imshow('Capture',frame)
    
    if cv.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv.destroyAllWindows()

import cv2 as cv
from gpiozero import LED
import time

led = LED(18)

HAAR_FILE = \
"/usr/local/lib/python3.9/dist-packages/cv2/data/"\
"haarcascade_frontalface_default.xml"
cascade = cv.CascadeClassifier(HAAR_FILE)

cap = cv.VideoCapture(0)

while(True):
    ret, frame = cap.read()
    
    face = cascade.detectMultiScale(frame)
    
    if len(face) > 0:
        led.on()

        for x, y, w, h in face:
            cv.rectangle(frame,(x,y),(x+w,y+h),(0,0,255),1)
            
    else:
        led.off()
        
    cv.imshow('Capture',frame)
    
    if cv.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv.destroyAllWindows()

import cv2 as cv
import requests
import datetime
import time

# LINEメッセージ送信の関数
def send_message(discovery_time):
    url = "https://notify-api.line.me/api/notify"
    token = "トークンをここに入力"
    headers = {"Authorization": "Bearer " + token}
    files = {'imageFile': open("image.jpg", "rb")}
    message = f"{discovery_time} 顔を検出しました。"
    payload = {"message": message}
    r = requests.post(url, headers=headers, params=payload, files=files)
    print("送信完了")

# 顔認識用のカスケード分類器のパス
HAAR_FILE = "/usr/local/lib/python3.9/dist-packages/cv2/data/haarcascade_frontalface_default.xml"
cascade = cv.CascadeClassifier(HAAR_FILE)

# メッセージ送信の間隔時間（秒）
wait_time = 30  # 30秒間隔

#連続して顔を検出する必要があるフレーム数
consecutive_frames_required = 2  # 2フレーム連続

cap = cv.VideoCapture(0)

# 最後にメッセージを送信した時間を記録
last_notification_time = time.time() - wait_time  # 初回実行時にすぐ送信されるように調整

# 連続して顔が検出されたフレーム数を記録
consecutive_frames = 0

while True:
    ret, frame = cap.read()

    # 顔を検出
    face = cascade.detectMultiScale(frame)

    # 顔を検出した場合
    if len(face) > 0:
        consecutive_frames += 1
        for x, y, w, h in face:
            cv.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 1)

        # 連続して顔が検出されたフレーム数が設定値を超えた場合
        if consecutive_frames >= consecutive_frames_required:
            current_time = time.time()
            # 30秒間隔でメッセージを送信する
            if current_time - last_notification_time > wait_time:
                cv.imwrite("image.jpg", frame)

                # 検出時間の取得
                dt_now = datetime.datetime.now()
                discovery_time = dt_now.strftime('%Y年%m月%d日%H時%M分%S秒')
                print(discovery_time)

                # LINEメッセージ送信
                send_message(discovery_time)

                last_notification_time = current_time
                consecutive_frames = 0  # カウントリセット

    else:
        consecutive_frames = 0  # 顔が検出されなかったらカウントリセット

    cv.imshow('Capture', frame)

    # 'q'キーで終了
    if cv.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv.destroyAllWindows()