def stop_camera():
lcd.setText("")
lcd.setRGB(0, 0, 0)
print("\nNo motion")
led.off()
print("Camera off")
camera.stop_preview()
import grovepi
import urllib2
import json
import time
import requests
import lcd
#ports for buttons that will be updating values in the database
button1 = 2
button2 = 3
piID = 1
lcd.setText("Hi, I'm pi number" + str(piID))
while (true):
#if the value isnt already one, set it to one when the corresponding button's pressed
if (json.loads(urllib2.urlopen("http://andrew.local:1337/pull/?id=").read())["response"]["sensors"]["button1"]["value"] == 0):
requests.post("http://andrew.local:1337/push/?id=" + piID + "&name=button1&value=" + \
grovepi.digitalRead(button1))
if (json.loads(urllib2.urlopen("http://andrew.local:1337/pull/?id=").read())["response"]["sensors"]["button2"]["value"] == 0):
requests.post("http://andrew.local:1337/push/?id=" + piID + "&name=button2&value=" + \
grovepi.digitalRead(button2))
time.sleep(.1)
def detect_face(photo):
client = boto3.client('rekognition')
bucket = 'fyp-caller-images'
response = client.detect_faces(
Image={'S3Object': {
'Bucket': bucket,
'Name': photo
}},
Attributes=['ALL'])
if (len(response['FaceDetails']) == 1):
led.on()
lcd.setText("Motion")
lcd.setRGB(0, 128, 64)
# compare
face_matches = compare_faces(client, photo, bucket)
print("Face matches: " + str(face_matches))
# Run AWS Rekognition facial recognition algorithm
# Compares source file with target file in the bucket
if (face_matches == 1):
result = nameMatch
target = photo
name_result, jpg = result.split('.')
name_target, jpg = target.split('.')
print(name_target + " is matching with " + name_result)
t = time.localtime()
current_time = time.strftime("%H:%M", t)
# Writing to text file
f = open("caller_name.txt", "w+")
f.write(name_result)
f.close()
l = open("last_caller.txt", "w+")
l.write(name_result + " was the last person at your door at " +
today_date + " " + current_time)
l.close()
k = open("status.txt", "w+")
known = "true"
k.write(known)
k.close()
# Write to Caller log file and upload to s3
with open("caller_log.txt", "a") as text_file:
text_file.write("\n" + today_date + " " + current_time +
" - " + name_result)
upload_file('/home/pi/final-year-project/caller_log.txt',
"caller-details", "caller_log.txt", False)
# Upload to S3 bucket 'caller-names'
upload_file('/home/pi/final-year-project/caller_name.txt',
"caller-details", "caller_name.txt", False)
upload_file('/home/pi/final-year-project/last_caller.txt',
"caller-details", "last_caller.txt", False)
upload_file('/home/pi/final-year-project/status.txt',
"caller-details", "status.txt", False)
lcd.setText(name_result + " is at the door!")
lcd.setRGB(0, 255, 0)
else:
face_count = face_details(client, photo)
print("Faces detected: " + str(face_count))
else:
print("No face")
return False
return True
def face_details(client, target_file):
print("No matches")
response_detail = client.detect_faces(Image={
'S3Object': {
'Bucket': 'fyp-caller-images',
'Name': target_file
}
},
Attributes=['ALL'])
print('Detected faces for ' + target_file)
for faceDetail in response_detail['FaceDetails']:
print('The detected face is between ' +
str(faceDetail['AgeRange']['Low']) + ' and ' +
str(faceDetail['AgeRange']['High']) + ' years old.')
#print('Here are some other attributes: ')
#print(json.dumps(faceDetail, indent=4, sort_keys=True))
spectacles = faceDetail['Eyeglasses']['Value']
if spectacles:
eyeglasses = " They were wearing eyeglasses."
else:
eyeglasses = " They were not wearing eyeglasses."
sunnies = faceDetail['Sunglasses']['Value']
if sunnies:
sunglasses = " They were wearing sunglasses."
else:
sunglasses = " They weren't wearing sunglasses."
smileEv = faceDetail['Smile']['Value']
if smileEv:
smile = " They were smiling."
else:
smile = " They weren't smiling."
if (faceDetail['Gender']['Value'] == "male"
or faceDetail['Gender']['Value'] == "Male"):
beardEv = faceDetail['Beard']['Value']
if beardEv:
beard = " They had a beard."
else:
beard = " They didn't have a beard."
mustEv = faceDetail['Mustache']['Value']
if mustEv:
mustache = " They had a mustache."
else:
mustache = " They didn't have a mustache."
details = ("A " + faceDetail['Gender']['Value'] + ", aged between " +
str(faceDetail['AgeRange']['Low']) + " & " +
str(faceDetail['AgeRange']['High']) + " is at your door!" +
eyeglasses + sunglasses + mustache + beard + smile)
elif (faceDetail['Gender']['Value'] == "female"
or faceDetail['Gender']['Value'] == "Female"):
details = ("A " + faceDetail['Gender']['Value'] + ", aged between " +
str(faceDetail['AgeRange']['Low']) + " & " +
str(faceDetail['AgeRange']['High']) + " is at your door!" +
eyeglasses + sunglasses + smile)
t = time.localtime()
current_time = time.strftime("%H:%M", t)
details_time = ("A " + faceDetail['Gender']['Value'] + ", aged between " +
str(faceDetail['AgeRange']['Low']) + " & " +
str(faceDetail['AgeRange']['High']) +
" was at your door at " + today_date + " " + current_time)
s = open("status.txt", "w+")
known = "false"
s.write(known)
s.close()
l = open("last_caller.txt", "w+")
l.write(details_time)
l.close()
u = open("caller_unknown.txt", "w+")
u.write(details)
u.close()
# Write to Caller log file and upload to s3
with open("caller_log.txt", "a") as text_file:
text_file.write("\n" + today_date + " " + current_time +
" - Stranger (" + faceDetail['Gender']['Value'] + ")")
upload_file('/home/pi/final-year-project/caller_log.txt', "caller-details",
"caller_log.txt", False)
# Upload to S3 bucket 'caller-names'
upload_file('/home/pi/final-year-project/status.txt', "caller-details",
"status.txt", False)
upload_file('/home/pi/final-year-project/last_caller.txt',
"caller-details", "last_caller.txt", False)
upload_file('/home/pi/final-year-project/caller_unknown.txt',
"caller-details", "caller_unknown.txt", False)
print(details)
lcd.setRGB(255, 0, 0)
lcd.setText(current_time + ": A " + faceDetail['Gender']['Value'] +
" is at the door!")
time.sleep(2)
lcd.setText(current_time + ":Aged between " +
str(faceDetail['AgeRange']['Low']) + " & " +
str(faceDetail['AgeRange']['High']))
return len(response_detail['FaceDetails'])
import lcd
import requests
import json
while True:
# pull values from the server to check for updates
val = requests.get('http://andrew.local:1337/pull/?id=1')
rslt = json.loads(val.text)
color = rslt["response"]["sensors"]["lighting"]["value"]
print color
if color == "red":
# if simone's light is red and no characters on screen
lcd.setRGB(255, 0, 0)
lcd.setText("")
elif color == "blue":
# if simone's light is blue and no characters on screen
lcd.setRGB(0, 0, 255)
lcd.setText("")
elif color == "purple":
# if simone's light is purple and no characters on screen
lcd.setRGB(255, 0, 255)
lcd.setText("")
blueSens = 5
#Ports for lights
red = 3
blue = 4
grovepi.pinMode(redSens,"INPUT")
grovepi.pinMode(blueSens,"INPUT")
grovepi.pinMode(red,"OUTPUT")
grovepi.pinMode(blue,"OUTPUT")
gameLength = 10
#Keeps track of what the user has to remember/play back
selectionLog = range(0,gameLength)
readyToPlay = False
lcd.setText("Play Simon!");
lcd.setRGB(128,128,128)
def get_ip_address(ifname):
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
return socket.inet_ntoa(fcntl.ioctl(
s.fileno(),
0x8915, # SIOCGIFADDR
struct.pack('256s', ifname[:15])
)[20:24])
ip = get_ip_address('eth0') + ":5000"
myMote = mote.Mote("Simon", "Dani' Simon", ip)
#Led bar is on pin D8, uses pin 8 and 9
led_bar.init()
if __name__=="__main__":
init()
config = ConfigParser.ConfigParser()
config.add_section('Values')
while True:
led.loop() #will add a 0.4sec delay
db = sound.loop() # time.sleep 0.5s
degree = temperature.loop()
lux = light.loop()
quality = air_quality.getString()
qualityValue = air_quality.getValue()
lcd.setText("%.0f lux, %.01f C\n%d db, %s" % (lux, degree, db, quality))
level = 0
if qualityValue > 300:
level = level + 1
if lux < 200:
level = level + 2
elif lux < 100:
level = level + 1
if degree > 30 or degree < 18:
level = level + 2
elif degree > 26 or degree < 22:
level = level + 1
if db > 100:
