def message():
print("message activated")
response = requests.get(
"http://poxy.16mb.com/sendpranav.php?mob=9790001196&message=I am at VIT VELLORE,SOS"
)
speak2.say("MESSAGE SENT")
print(response.text)
def object_recog():
print('object detection')
client = boto3.client('rekognition')
imgurl = 'tarpimg.jpg'
imgbytes = image(imgurl)
rekresp = client.detect_labels(Image={'Bytes': imgbytes}, MinConfidence=70)
flag = 0
for label in rekresp['Labels']:
print(label['Name'])
speak2.say(label['Name'])
flag = 1
if flag == 0:
speak2.say('no object found')
def face_recog():
print "Recognising faces"
KEY = 'c568afc262db4b66a41636ce7441bf4f' # Replace with a valid subscription key (keeping the quotes in place).
CF.Key.set(KEY)
# If you need to, you can change your base API url with:
#CF.BaseUrl.set('https://westcentralus.api.cognitive.microsoft.com/face/v1.0/')
BASE_URL = 'https://westcentralus.api.cognitive.microsoft.com/face/v1.0/' # Replace with your regional Base URL
CF.BaseUrl.set(BASE_URL)
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
persongroupid = "myfriends"
test = './tarpimg.jpg'
fac = CF.face.detect(test)
print('no. of faces detected', len(fac))
if (len(fac) != 0):
faceid = []
for j in range(len(fac)):
ind = fac[j]
faceid.append(ind['faceId'])
print(faceid)
results = CF.face.identify(faceid, persongroupid)
print(results)
k = 0
d = 0
for i in range(len(results)):
res = results[i]
res1 = res['candidates']
if (len(res1) == 0):
k = k + 1
else:
d = d + 1
res2 = res1[0]
res3 = CF.person.get(persongroupid, res2['personId'])
print(res3['name'])
speak2.say(res3['name'])
print(k, "faces unknown")
print(d, 'faces known')
if k >= 1:
return 1
else:
return 0
def face_analysis():
print("analysing face")
client = boto3.client('rekognition')
imgurl = 'tarpimg.jpg'
imgbytes = image(imgurl)
rekresp = client.detect_faces(Image={'Bytes': imgbytes},
Attributes=['ALL'])
if len(rekresp['FaceDetails']) > 0:
gender = rekresp['FaceDetails'][0]['Gender']['Value']
age = rekresp['FaceDetails'][0]['AgeRange']['High']
age_l = rekresp['FaceDetails'][0]['AgeRange']['Low']
emotion = rekresp['FaceDetails'][0]['Emotions'][0]['Type']
eyeglasses = rekresp['FaceDetails'][0]['Eyeglasses']['Value']
print gender, age_l, age, emotion, eyeglasses
speak2.say("The person is a " + gender)
speak2.say("Age is between " + str(age_l) + " to " + str(age))
speak2.say("person is " + emotion)
if eyeglasses == True:
speak2.say("Wearing eyeglasses")
else:
speak2.say('No person')
def landmarks():
print("entering landmarks")
speak2.say("TT , SJT , GALAXY CINEMA")
print("entering landmarks")
GPIO.output(TRIG, True)
time.sleep(0.00001)
GPIO.output(TRIG, False)
while GPIO.input(ECHO) == 0:
pulse_start = time.time()
while GPIO.input(ECHO) == 1:
pulse_end = time.time()
pulse_duration = pulse_end - pulse_start
distance = pulse_duration * 17150
distance = round(distance, 2)
if distance < 25:
print "ultrasonic sensor"
cv2.imwrite('tarpimg.jpg', frame)
if face_detect(frame) == 1:
print "face detected"
face_flag = face_recog() #madhur-face-api
if face_flag == 1:
speak2.say("analysing unknown face")
face_analysis() #dheer ka face analyis
else:
print "no face"
object_recog()
output.truncate(0)