编写人脸识别是否佩戴口罩和无接触温度测量系统的代码

由于人脸识别和无接触温度测量系统都需要使用一些特殊的硬件设备，因此需要使用适当的库和工具来访问这些设备。以下是一个基于Python的简单示例代码，可以检测人脸是否佩戴口罩，并使用红外传感器实现无接触测温。

import cv2
import numpy as np
import argparse
import imutils
import time
import os
import RPi.GPIO as GPIO
import math
import smtplib
import datetime
import Adafruit_GPIO.SPI as SPI
import Adafruit_MCP3008
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart

# 设置GPIO模式
GPIO.setmode(GPIO.BCM)

# 初始化GPIO引脚
GPIO.setup(17, GPIO.OUT)
GPIO.setup(27, GPIO.OUT)
GPIO.setup(22, GPIO.OUT)

# 初始化SPI总线
SPI_PORT = 0
SPI_DEVICE = 0
mcp = Adafruit_MCP3008.MCP3008(spi=SPI.SpiDev(SPI_PORT, SPI_DEVICE))

# 初始化邮箱信息
FROM_EMAIL_ADDRESS = 'your_email_address'
FROM_EMAIL_PASSWORD = 'your_email_password'
TO_EMAIL_ADDRESS = 'recipient_email_address'

# 初始化人脸检测模型和口罩检测模型
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
mask_model = cv2.dnn.readNet('mask_detection_model.weights', 'mask_detection_model.cfg')

# 定义函数来检测口罩
def detect_mask(frame, face):
    mask_model.setInput(cv2.dnn.blobFromImage(frame, 1.0, (300, 300), (104.0, 177.0, 123.0), swapRB=True, crop=False))
    detections = mask_model.forward()
    for i in range(0, detections.shape[2]):
        confidence = detections[0, 0, i, 2]
        if confidence > 0.5:
            box = detections[0, 0, i, 3:7] * np.array([frame.shape[1], frame.shape[0], frame.shape[1], frame.shape[0]])
            (startX, startY, endX, endY) = box.astype("int")
            (startX, startY) = (max(0, startX), max(0, startY))
            (endX, endY) = (min(frame.shape[1] - 1, endX), min(frame.shape[0] - 1, endY))
            face_roi = face[startY:endY, startX:endX]
            face_blob = cv2.dnn.blobFromImage(face_roi, 1.0, (224, 224), (104.0, 177.0, 123.0))
            mask_model.setInput(face_blob)
            mask_preds = mask_model.forward()
            mask = mask_preds.argmax()
            return mask == 0
    return False

# 定义函数来读取红外传感器
def read_temperature():
    Vref = 3.3
    R1 = 10000
    B = 3950
    R0 = 10000
    Vout = mcp.read_adc(0) * Vref / 1023.0
    R = R1 * (Vref / Vout - 1)
    T = 1 / (1 / (273.15 + 25) + 1 / B * math.log(R / R0)) - 273.15
    return T

# 定义函数来发送邮件
def send_mail(subject, message):
    msg = MIMEMultipart()
    msg['From'] = FROM_EMAIL_ADDRESS
    msg['To'] = TO_EMAIL_ADDRESS
    msg['Subject'] = subject
    msg.attach(MIMEText(message, 'plain'))
    server = smtplib.SMTP('smtp.gmail.com', 587)
    server.starttls()
    server.login(FROM_EMAIL_ADDRESS, FROM_EMAIL_PASSWORD)
    text = msg.as_string()
    server.sendmail(FROM_EMAIL_ADDRESS, TO_EMAIL_ADDRESS, text)
    server.quit()

# 初始化摄像头
cap = cv2.VideoCapture(0)

# 循环读取视频流
while True:
    ret, frame = cap.read()
    if ret:
        # 调整图像大小
        frame = imutils.resize(frame, width=400)

        # 转换为灰度图像
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        # 检测人脸
        faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30), flags=cv2.CASCADE_SCALE_IMAGE)

        # 循环处理每个人脸
        for (x, y, w, h) in faces:
            # 绘制人脸矩形框
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)

            # 提取人脸ROI
            face = frame[y:y + h, x:x + w]

            # 检测口罩
            mask = detect_mask(frame, face)

            # 如果没有佩戴口罩
            if not mask:
                # 播放警报声
                GPIO.output(17, GPIO.HIGH)

                # 发送警报邮件
                subject = 'Warning: No Mask Detected'
                message = 'A person without a mask has been detected at ' + datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
                send_mail(subject, message)

            else:
                # 停止播放警报声
                GPIO.output(17, GPIO.LOW)

            # 测量温度并显示
            temperature = read_temperature()
            cv2.putText(frame, 'Temperature: {:.1f}C'.format(temperature), (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)

            # 如果温度超过37.5C
            if temperature >= 37.5:
                # 播放警报声
                GPIO.output(27, GPIO.HIGH)

                # 发送警报邮件
                subject = 'Warning: High Temperature Detected'
                message = 'A person with a high temperature has been detected at ' + datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
                send_mail(subject, message)

            else:
                # 停止播放警报声
                GPIO.output(27, GPIO.LOW)

        # 显示图像
        cv2.imshow('Face Mask Detection and Temperature Measurement System', frame)

        # 按下q键退出循环
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

# 释放资源
cap.release()
cv2.destroyAllWindows()

这段代码使用OpenCV库和DNN模块来检测人脸和口罩，并使用Adafruit_MCP3008库来读取红外传感器的数据。如果检测到人没有佩戴口罩或体温超过37.5C，系统会发出警报声并发送警报邮件。请注意，这只是一个简单的示例，您需要根据您的具体情况进行修改和调整。