def checkFBstatus():
doorControl.door().lock()
config = {
"apiKey":
"AIzaSyDH_J9AF-YES_nlB8NQxCs78fkz-GqSzQk",
"authDomain":
"smartdoor-f5862.firebaseapp.com",
"databaseURL":
"https://smartdoor-f5862.firebaseio.com",
"storageBucket":
"smartdoor-f5862.appspot.com",
"serviceAccount":
"/home/pi/Documents/smartdoor-f5862-firebase-adminsdk-fg4g8-71b2f73eb4.json"
}
firebase = pyrebase.initialize_app(config)
# Firebase Database Intialization
db = firebase.database()
status = db.child("FrontDoor").get()
for user in status.each():
if (user.val() == "unlocked"):
doorControl.door().unlock()
time.sleep(10)
doorControl.door().lock()
else:
doorControl.door().lock()
def checkpassword():
doorControl.door().lock()
password = [1, 2, 3, 'A']
length = len(password)
print("Please enter password:"******"Door Unlocked")
time.sleep(10)
doorControl.door().lock()
print("Door ReLocked")
else:
doorControl.door().lock()
print("Password failed")
"authDomain":
"smartdoor-f5862.firebaseapp.com",
"databaseURL":
"https://smartdoor-f5862.firebaseio.com",
"storageBucket":
"smartdoor-f5862.appspot.com",
"serviceAccount":
"/home/pi/Documents/smartdoor-f5862-firebase-adminsdk-fg4g8-71b2f73eb4.json"
}
firebase = pyrebase.initialize_app(config)
# Firebase Database Intialization
db = firebase.database()
status = db.child("FrontDoor").get()
for user in status.each():
if (user.val() == "unlocked"):
doorControl.door().unlock()
time.sleep(10)
doorControl.door().lock()
else:
doorControl.door().lock()
try:
while (True):
checkFBstatus()
continue
except KeyboardInterrupt:
doorControl.door().unlock()
doorControl.door().shutdown()
# Control door lock by sending request to a flask http server running on pi
import time
import logging
import flask
from flask import Flask, render_template, Response
import RPi
import RPi.GPIO as GPIO
import doorControl
app = Flask(__name__)
logger = logging.Logger('SmartDoor')
door = doorControl.door()
@app.route("/")
def hello_world():
return "Hello world!"
@app.route("/unlock")
def doorunlock():
door.unlock()
return 'Door unlocked'
@app.route("/lock")
def doorlock():
door.lock()
def main():
# load the known faces and embeddings along with OpenCV's Haar
# cascade for face detection
print("[INFO] loading encodings + face detector...")
data = pickle.loads(open("encodings.pickle", "rb").read())
detector = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
# initialize the video stream and allow the camera sensor to warm up
print("[INFO] starting video stream...")
global vs
#vs = VideoStream(src=0).start()
vs = VideoStream(usePiCamera=True, resolution=(720, 480)).start()
time.sleep(2.0)
#intialize message variables and the door object
message = "No People Detected"
prevmessage = "No People Detected"
global door
door = doorControl.door()
door.lock()
# start the FPS counter
global fps
fps = FPS().start()
# loop over frames from the video file stream
while True:
# grab the frame from the threaded video stream and resize it
# to 500px (to speedup processing)
frame = vs.read()
frame = imutils.resize(frame, width=500)
# convert the input frame from (1) BGR to grayscale (for face
# detection) and (2) from BGR to RGB (for face recognition)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
# detect faces in the grayscale frame
rects = detector.detectMultiScale(gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(20, 20),
flags=cv2.CASCADE_SCALE_IMAGE)
# OpenCV returns bounding box coordinates in (x, y, w, h) order
# but we need them in (top, right, bottom, left) order, so we
# need to do a bit of reordering
boxes = [(y, x + w, y + h, x) for (x, y, w, h) in rects]
# compute the facial embeddings for each face bounding box
encodings = face_recognition.face_encodings(rgb, boxes)
names = []
# loop over the facial embeddings
if encodings:
for encoding in encodings:
# attempt to match each face in the input image to our known
# encodings default tolerance is 0.6, lower is more accurate
matches = face_recognition.compare_faces(data["encodings"],
encoding,
tolerance=0.5)
name = "Unknown"
# check to see if we have found a match
if True in matches:
# find the indexes of all matched faces then initialize a
# dictionary to count the total number of times each face
# was matched
matchedIdxs = [i for (i, b) in enumerate(matches) if b]
counts = {}
# loop over the matched indexes and maintain a count for
# each recognized face face
for i in matchedIdxs:
name = data["names"][i]
counts[name] = counts.get(name, 0) + 1
# determine the recognized face with the largest number
# of votes (note: in the event of an unlikely tie Python
# will select first entry in the dictionary)
name = max(counts, key=counts.get)
# update the list of names
names.append(name)
if names[0] == "Unknown" and (x == names[0] for x in names):
prevmessage = message
message = "An Unknown Person is Detected"
else:
prevmessage = message
message = "Welcome " + ', '.join(names)
else:
prevmessage = message
message = "No People Detected"
#Detects a change in state
if message != prevmessage:
print(message)
if message == "No People Detected":
#lock door
door.lock()
#check keypad input once
#keypad_demo.checkpassword()
#check firebase status once
door_control_by_firebase.checkFBstatus()
elif message == "An Unknown Person is Detected":
#lock door and save a picture of the unknown person
vs.camera.capture('/home/pi/Documents/SmartDoor/image.jpg')
upload_image_to_FB.uploadImg()
#check keypad input once
#keypad_demo.checkpassword()
#check firebase status once
door_control_by_firebase.checkFBstatus()
else:
#unlock door
door.unlock()
time.sleep(10)
door.lock()
# update the FPS counter
fps.update()