Opencv Email Notification

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Hello, I've run into a road block in my opencv motion detection script while trying to adapt an "import smtplib" into my loop. I did not create the original script so I can't take any credit for that. The problem I'm having is, when I run the script as is, and movement is detected it sends me an email for every frame that detected motion - it sends me a BUNCH of emails. How can I change the script so it only sends me (1) email every 60 seconds once movement was detected (and doesn't have a bunch of emails waiting to send in the background) and the loop function continues without interruption?

# import the necessary packages
from __future__ import print_function
from pyimagesearch.basicmotiondetector import BasicMotionDetector
from imutils.video import VideoStream
import numpy as np
import datetime
import imutils
import time
import cv2



# initialize the video streams and allow them to warmup
print("[INFO] starting cameras...")
webcam1 = VideoStream(src=0).start()
webcam2 = VideoStream(src=4).start()#src 0,2,4 work
time.sleep(2.0)

# initialize the two motion detectors, along with the total
# number of frames read
camMotion1 = BasicMotionDetector()
camMotion2 = BasicMotionDetector()
total = 0
# loop over frames from the video streams
while True:
# initialize the list of frames that have been processed
frames = []

# loop over the frames and their respective motion detectors
for (stream, motion) in zip((webcam1, webcam2), (camMotion1, camMotion2)):
    # read the next frame from the video stream and resize
    # it to have a maximum width of 400 pixels
    frame = stream.read()
    frame = imutils.resize(frame, width=400)

    # convert the frame to grayscale, blur it slightly, update
    # the motion detector
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray, (21, 21), 0)
    locs = motion.update(gray)

    # we should allow the motion detector to "run" for a bit
    # and accumulate a set of frames to form a nice average
    if total < 32:
        frames.append(frame)
        continue
    # otherwise, check to see if motion was detected
    if len(locs) > 0:
        # initialize the minimum and maximum (x, y)-coordinates,
        # respectively
        (minX, minY) = (np.inf, np.inf)
        (maxX, maxY) = (-np.inf, -np.inf)

        # loop over the locations of motion and accumulate the

  # minimum and maximum locations of the bounding boxes
    for l in locs:
        (x, y, w, h) = cv2.boundingRect(l)
        (minX, maxX) = (min(minX, x), max(maxX, x + w))
        (minY, maxY) = (min(minY, y), max(maxY, y + h))

    # draw the bounding box
    cv2.rectangle(fram

e, (minX, minY), (maxX, maxY),
            (0, 0, 255), 3)

        import smtplib

        server = smtplib.SMTP('smtp.gmail.com', 587)
        server.starttls()
        server.login("my_email", "my_password")

        msg = "INTRUDER!"
        server.sendmail("my_email", "email_to_send_to", msg)
        server.quit()


    # update the frames list
    frames.append(frame)
    # increment the total number of frames read and grab the 
# current timestamp
total += 1
timestamp = datetime.datetime.now()
ts = timestamp.strftime("%A %d %B %Y %I:%M:%S%p")

# loop over the frames a second time
for (frame, name) in zip(frames, ("Webcam1", "Webacm2")):
    # draw the timestamp on the frame and display ...