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Remove facebox integration (#30621)
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Sam Reed
GitHub
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---
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title: Facebox
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description: Detect and recognize faces with Facebox.
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ha_category:
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- Image processing
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ha_iot_class: Local Push
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ha_release: 0.7
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ha_domain: facebox
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ha_integration_type: integration
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---
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The **Facebox** image processing {% term integration %} allows you to detect and recognize faces in a camera image using [Facebox](https://machinebox.io/docs/facebox). The state of the entity is the number of faces detected, and recognized faces are listed in the `matched_faces` attribute. An `image_processing.detect_face` event is fired for each recognized face, and the event `data` provides the `confidence` of recognition, the `name` of the person, the `image_id` of the image associated with the match, the `bounding_box` that contains the face in the image, and the `entity_id` that processing was performed on.
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## Setup
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Facebox runs in a Docker container, and it is recommended that you run this container on a x86 machine (an ARM version is not available) with a minimum of 2 GB RAM. On your machine with Docker, run the Facebox container with:
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```bash
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MB_KEY="INSERT-YOUR-KEY-HERE"
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sudo docker run --name=facebox --restart=always -p 8080:8080 -e "MB_KEY=$MB_KEY" machinebox/facebox
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```
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or using `docker-compose`:
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```yaml
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version: '3'
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services:
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facebox:
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image: machinebox/facebox
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container_name: facebox
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restart: unless-stopped
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ports:
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- 8080:8080
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environment:
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- MB_KEY=${MB_KEY}
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- MB_FACEBOX_DISABLE_RECOGNITION=false
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```
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You can run Facebox with a username and password by adding `-e "MB_BASICAUTH_USER=my_username" -e "MB_BASICAUTH_PASS=my_password"`, but bear in mind that the integration does not encrypt these credentials, and this approach does not guarantee security on an unsecured network.
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After you created an account at [Machinebox](https://machinebox.io/account), you can grab your `MB_KEY` at [your Account page](https://developer.veritone.com/machinebox/overview).
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If you only require face detection (counting the number of faces), you can disable face recognition by adding `-e "MB_FACEBOX_DISABLE_RECOGNITION=true"` in the `docker run` command.
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If your host machine does not support [AVX](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions) and you experience issues running the `machinebox/facebox` image, there is an alternative image without AVX support available at `machinebox/facebox_noavx` (*HINT*: This image is currently not supported by machinebox and should only be used if necessary).
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## Configuration
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To enable this platform in your installation, add the following to your `configuration.yaml` file:
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```yaml
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# Example configuration.yaml entry
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image_processing:
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- platform: facebox
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ip_address: 192.168.0.1
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port: 8080
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source:
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- entity_id: camera.local_file
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name: my_custom_name
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```
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{% configuration %}
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ip_address:
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description: The IP address of your machine hosting Facebox.
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required: true
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type: string
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port:
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description: The port which Facebox is exposed on.
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required: true
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type: string
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username:
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description: The Facebox username if you have set one.
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required: false
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type: string
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password:
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description: The Facebox password if you have set one.
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required: false
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type: string
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source:
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description: The list of image sources.
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required: true
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type: map
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keys:
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entity_id:
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description: A camera entity ID to get picture from.
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required: true
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type: string
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name:
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description: This parameter allows you to override the name of your `image_processing` entity.
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required: false
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type: string
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{% endconfiguration %}
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## Automations
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Use the `image_processing.detect_face` events to trigger automations, and breakout the `trigger.event.data` using a [template](/docs/automation/templating/). The following example automation sends a notification when Ringo Star is recognized:
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{% raw %}
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```yaml
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- id: '12345'
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alias: "Ringo Starr recognised"
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trigger:
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platform: event
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event_type: image_processing.detect_face
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event_data:
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name: "Ringo_Starr"
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action:
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service: notify.platform
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data:
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message: Ringo_Starr recognised with probability {{ trigger.event.data.confidence }}
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title: Door-cam notification
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```
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{% endraw %}
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## Service `facebox.teach_face`
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The service `facebox.teach_face` can be used to teach Facebox faces.
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| Service data attribute | Optional | Description |
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| ---------------------- | -------- | ----------- |
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| `entity_id` | no | Entity ID of Facebox entity. |
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| `name` | no | The name to associate with a face.|
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| `file_path` | no | The path to the image file. |
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A valid service data example:
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{% raw %}
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```yaml
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{
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"entity_id": "image_processing.facebox_local_file",
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"name": "superman",
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"file_path": "/images/superman_1.jpeg"
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}
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```
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{% endraw %}
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You can use an automation to receive a notification when you train a face:
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{% raw %}
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```yaml
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- id: '1533703568569'
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alias: "Face taught"
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trigger:
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- event_data:
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service: facebox.teach_face
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event_type: call_service
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platform: event
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condition: []
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action:
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- service: notify.pushbullet
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data_template:
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message: '{{ trigger.event.data.service_data.name }} taught
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with file {{ trigger.event.data.service_data.file_path }}'
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title: Face taught notification
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```
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{% endraw %}
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Any errors on teaching will be reported in the logs. If you enable [system_log](/integrations/system_log/) events:
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```yaml
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system_log:
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fire_event: true
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```
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You can create an automation to receive notifications on Facebox errors:
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{% raw %}
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```yaml
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- id: '1533703568577'
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alias: "Facebox error"
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trigger:
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platform: event
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event_type: system_log_event
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condition:
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condition: template
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value_template: '{{ "facebox" in trigger.event.data.message }}'
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action:
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- service: notify.pushbullet
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data_template:
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message: "{{ trigger.event.data.message }}"
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title: Facebox error
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```
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{% endraw %}
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@ -504,6 +504,7 @@ layout: null
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/integrations/envirophat /more-info/removed-integration 301
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/integrations/eq3btsmart /more-info/removed-integration 301
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/integrations/essent /more-info/removed-integration 301
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/integrations/facebox /more-info/removed-integration 301
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/integrations/fedex /more-info/removed-integration 301
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/integrations/flunearyou /more-info/removed-integration 301
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/integrations/fortigate /more-info/removed-integration 301
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