Live Face Recognition With Nest Cam And Project Oxford

live_face.py

import json
import requests


class LiveFace():

  # Connect To Nest Cam REST Streaming API
  def get_stream(self, cam_url):
    # Manipulate the response so we can detect if motion was detected
    DATA_PREFIX = 'data: '

    headers = {"Accept": "application/json", "Accept": "text/event-stream"}
    response = requests.get(cam_url, headers=headers, allow_redirects=True,
                            stream=True)

    for line in response.iter_lines(chunk_size=1):
      if line.startswith(DATA_PREFIX):
        data = line[len(DATA_PREFIX):]
        if not data == 'null':
          data_dict = json.loads(data)
          
          # Check for motion event so it isn't triggered by sound alone.
          if data_dict['data']['last_event']['has_motion'] == True:
            image_url = data_dict['data']['last_event']['image_url']

            # Call request_recognition func with the url to the last motion event
            self.request_recognition(image_url)
          else:
            print "Nothing New To Report."
            
  # Send Most Recent Motion Event Image URL For Face Recognition
  def request_recognition(self, image_url):
    # We are going to request only Age and Gender attributes
    url = "https://api.projectoxford.ai/face/v1.0/detect?returnFaceAttributes=age,gender"
    payload = '{"url":"%s"}' % image_url
    headers = {"Ocp-Apim-Subscription-Key": "PROJECT_OXFORD_PRIMARY_KEY"}

    response = requests.post(url, data=payload, headers=headers)
    response = json.loads(response.content)

    if response:
      gender = response[0]["faceAttributes"]["gender"]
      age = response[0]["faceAttributes"]["age"]
      
      print "This person is a %s year old %s" % (age, gender)

    else:
      print "No person identified."


living_room = LiveFace()
living_room.get_stream("https://developer-api.nest.com/devices/cameras/YOUR_CAMERA_ID?auth=YOUR_ACCESS_TOKEN")