3.2 KiB
| title | description | ha_category | ha_iot_class | ha_release | ha_domain | ha_integration_type | |
|---|---|---|---|---|---|---|---|
| Microsoft Face | Instructions on how to integrate Microsoft Face integration into Home Assistant. |
|
Cloud Push | 0.37 | microsoft_face | integration |
The microsoft_face integration platform is the main integration for Microsoft
Azure Cognitive service
Face.
All data are stored in your own private instance in the Azure cloud.
Setup
You need an API key, which is free, but requires an Azure registration using your Microsoft ID. The free resource (F0) is limited to 20 requests per minute and 30k requests in a month. If you don't want to use the Azure cloud, you can also get an API key by registering with cognitive-services. Please note that all keys on cognitive services must be recreated every 90 days.
Configuration
To enable the Microsoft Face integration,
add the following to your configuration.yaml file:
# Example configuration.yaml entry
microsoft_face:
api_key: YOUR_API_KEY
azure_region: eastus2
{% configuration %} api_key: description: The API key for your Cognitive resource. required: true type: string azure_region: description: The region where you instantiated your Microsoft Cognitive services endpoint. required: false type: string timeout: description: Set timeout for the API connection. required: false type: time default: 10s {% endconfiguration %}
Person and Groups
For most services, you need to set up a group or a person. This limits the processing and detection to elements provided by the group. Home Assistant creates an entity for all groups and allows you to show the state, person, and IDs directly on the frontend.
The following services are available for managing this feature and can be called via the Frontend, a script, or the REST API.
- microsoft_face.create_group
- microsoft_face.delete_group
service: microsoft_face.create_group
data:
name: "Family"
- microsoft_face.create_person
- microsoft_face.delete_person
service: microsoft_face.create_person
data:
group: family
name: "Hans Maier"
You need to add an image of a person. You can add multiple images for every person to make the detection better. You can take a picture from a camera or send a local image to your Azure resource.
- microsoft_face.face_person
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.
$ curl -v -X POST "https://westus.api.cognitive.microsoft.com/face/v1.0/persongroups/{GroupName}/persons/{personId}/persistedFaces" \
-H "Ocp-Apim-Subscription-Key: YOUR_API_KEY" \
-H "Content-Type: application/octet-stream" --data-binary "@/tmp/image.jpg"
After we're done with changes on a group, we need train this group to teach the AI how to handle the new data.
- microsoft_face.train_group
service: microsoft_face.train_group
data:
group: family