写出基于树莓派仓库摄像头大米计数和温湿度,烟雾检测并报警的代码
时间: 2024-01-24 10:04:17 浏览: 26
这是一个比较复杂的项目,需要使用多种传感器和模块,下面是一个简单的示例代码,仅供参考:
```
import RPi.GPIO as GPIO
import time
import Adafruit_DHT
import picamera
import cv2
import numpy as np
# 设置GPIO口
GPIO.setmode(GPIO.BOARD)
GPIO.setup(11, GPIO.IN)
GPIO.setup(12, GPIO.OUT)
# 初始化摄像头
camera = picamera.PiCamera()
camera.resolution = (640, 480)
camera.framerate = 30
# 初始化温湿度传感器
sensor = Adafruit_DHT.DHT11
pin = 4
# 初始化烟雾传感器
smoke_pin = 17
# 初始化计数器
count = 0
while True:
# 读取温湿度
humidity, temperature = Adafruit_DHT.read_retry(sensor, pin)
if humidity is not None and temperature is not None:
print('Temperature: {0:0.1f} C Humidity: {1:0.1f} %'.format(temperature, humidity))
else:
print('Failed to get reading. Try again!')
# 读取烟雾
smoke_value = GPIO.input(smoke_pin)
if smoke_value == GPIO.HIGH:
print("Smoke Detected!")
GPIO.output(12, GPIO.HIGH)
else:
GPIO.output(12, GPIO.LOW)
# 拍摄照片
camera.capture('image.jpg')
# 处理照片,计算大米数量
image = cv2.imread('image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 0)
thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)[1]
contours, hierarchy = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
count = len(contours)
print("Count: {}".format(count))
# 延时5秒
time.sleep(5)
```
需要注意的是,这只是一个简单的示例代码,实际应用中需要根据具体情况做出修改和优化。并且需要使用适合的传感器和模块进行连接和调试。