Microsoft face (#1876)

* Microsoft Face

* Add platform doku

source/_components/image_processing.markdown

@@ -34,3 +34,24 @@ automation:
 ```
 
 The following event attributes will be present: `entity_id`, `plate`, `confidence`
+
+## {% linkable_title Face identify %}
+
+Face entities attribute have a face counter `total_faces` and all validated person as `known_faces`.
+
+This event is trigger after Microsoft Face identify found a known faces.
+
+```yaml
+# Example configuration.yaml automation entry
+automation:
+- alias: Known person in front of my door
+  trigger:
+    platform: event
+    event_type: identify_face
+    event_data:
+      entity_id: image_processing.door
+      name: 'Hans Maier'
+...
+```
+
+The following event attributes will be present: `entity_id`, `name`, `confidence`

source/_components/image_processing.microsoft_face_identify.markdown

@@ -0,0 +1,38 @@
+---
+layout: page
+title: "Microsoft Face identify"
+description: "Instructions how to integrate microsoft face identify into Home Assistant."
+date: 2017-01-25 00:00
+sidebar: true
+comments: false
+sharing: true
+footer: true
+logo: microsoft.png
+ha_category: Image_Processing
+featured: false
+ha_release: 0.37
+---
+
+The `microsoft_face_identify` image processing platform lets you use [Microsoft Face identify](https://www.microsoft.com/cognitive-services/en-us/) API through Home Assistant.
+
+Please refer to the [component](/components/microsoft_face/) configuration on how to setup the API key.
+
+For using inside automation look on [component](/components/image_processing) page.
+
+### {% linkable_title Configuration Home Assistant %}
+
+```yaml
+# Example configuration.yaml entry
+image_processing:
+ - platform: microsoft_face_identify
+   group: family
+   source:
+    - entity_id: camera.door
+```
+Configuration variables:
+
+- **group** (*Required*): Micrsoft face group to detect person from it.
+- **confidence** (*Optional*): The minimum of confidence in percent to process with Home Assistant. Defaults to 80.
+- **source** array (*Required*): List of image sources.
+  - **entity_id** (*Required*): A camera entity id to get picture from.
+  - **name** (*Optional*): This parameter allows you to override the name of your `image_processing` entity.

source/_components/image_processing.openalpr_cloud.markdown

@@ -15,6 +15,8 @@ ha_release: 0.36
 
 [OpenALPR](http://www.openalpr.com/) integration for Home Assistant allows you to process licences plates from a camera. You can use them to open a garage door or trigger any other [automation](https://home-assistant.io/components/automation/).
 
+For using inside automation look on [component](/components/image_processing) page.
+
 ### {% linkable_title Configuration Home Assistant %}
 
 ```yaml

source/_components/image_processing.openalpr_local.markdown

@@ -15,6 +15,8 @@ ha_release: 0.36
 
 [OpenALPR](http://www.openalpr.com/) integration for Home Assistant allows you to process licences plates from a camera. You can use them to open a garage door or trigger any other [automation](https://home-assistant.io/components/automation/).
 
+For using inside automation look on [component](/components/image_processing) page.
+
 ### {% linkable_title Local installation %}
 
 If you want process all data locally, you need version 2.3.1 or higher of the `alpr` commandline tool.

source/_components/microsoft_face.markdown

@@ -0,0 +1,78 @@
+---
+layout: page
+title: "Microsoft Face"
+description: "Instructions how to integrate Microsoft Face component into Home Assistant."
+date: 2017-01-25 00:00
+sidebar: true
+comments: false
+sharing: true
+footer: true
+logo: microsoft.png
+ha_category: Hub
+ha_release: "0.37"
+---
+
+The `microsoft_face` component platform is the main component for Microsoft Azure Cognitive service [Face](https://www.microsoft.com/cognitive-services/en-us/face-api). All data are in a own private instance in the azure cloud.
+
+You need an API key which is free but requires a [Azure registration](https://azure.microsoft.com/de-de/free/) with your microsoft ID. The free resource (*F0*) is limit to 30K request in a month and 20 per minute. If you don't want use a azure cloud, you can also get a API key with registration on [cognitive-services](https://www.microsoft.com/cognitive-services/en-us/subscriptions) but they need to recreate all 90 days.
+
+To enable the Microsoft Face component, add the following lines to your `configuration.yaml`:
+
+```yaml
+# Example configuration.yaml entry
+microsoft_face:
+  api_key: YOUR_API_KEY
+```
+
+Configuration variables:
+
+- **api_key** (*Required*): The API key for your Cognitive resource.
+- **timeout** (*Optional)*: Set timeout for api connection (default 10sec).
+
+### {% linkable_title Person and Groups %}
+
+For most of service you need set a group or a person. So it process and detect only stuff they will given with this group. Home-Assistent create for all group a entity and allow your to show the state, person and IDs inside UI.
+
+For manage this feature you have following services they can call with UI, script or rest api.
+
+- *microsoft_face.create_group*
+- *microsoft_face.delete_group*
+```yaml
+service: microsoft_face.create_group
+data:
+  name: 'Family'
+```
+
+- *microsoft_face.create_person*
+- *microsoft_face.delete_person*
+```yaml
+service: microsoft_face.create_person
+data:
+  group: family
+  name: 'Hans Maier'
+```
+
+We need add image to a person. We can add multiple image for every person to make the detection better. We can take a picture from a camera or send a local image to our azure resource.
+
+- *microsoft_face.face_person*
+```yaml
+service: microsoft_face.face_person
+data:
+  group: family
+  name: 'Hans Maier'
+  camera_entity: camera.door
+```
+
+For the local image we need *curl*. The personId is present in group entity as attribute.
+
+```bash
+curl -v -X POST "https://westus.api.cognitive.microsoft.com/face/v1.0/persongroups/{GroupName}/persons/{personId}/persistedFaces" -H "Ocp-Apim-Subscription-Key: {ApiKey}" -H "Content-Type: application/octet-stream" --data "@/tmp/image.jpg"
+```
+
+After we done with changes on a group, we need train this group to make our AI fit to handle the new data.
+
+- *microsoft_face.train_group*
+```yaml
+service: microsoft_face.train_group
+data:
+  group: family