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153 lines
4.1 KiB
Markdown
153 lines
4.1 KiB
Markdown
---
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layout: page
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title: "Seven segments display"
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description: "Instructions on how to use OCR for seven segments displays into Home Assistant."
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date: 2017-05-18 08:00
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sidebar: true
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comments: false
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sharing: true
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footer: true
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logo: home-assistant.png
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ha_category: Image Processing
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featured: false
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ha_release: 0.45
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og_image: /images/screenshots/ssocr.png
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ha_iot_class: "Local Polling"
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---
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The `seven_segments` image processing platform allows you to read physical seven segments displays through Home Assistant. [`ssocr`](https://www.unix-ag.uni-kl.de/~auerswal/ssocr/) is used to extract the value shown on the display which is observed by a [camera](/components/camera/).
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<p class='note'>
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If you are using [Hass.io](/hassio/) then just move forward to the configuration as all requirements are already fulfilled.
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</p>
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`ssocr` needs to be available on your system. Check the installation instruction below:
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```bash
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$ sudo dnf -y install imlib2-devel # Fedora
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$ sudo apt install libimlib2-dev # Ubuntu
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$ brew install imlib2 # macOS
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$ git clone https://github.com/auerswal/ssocr.git
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$ cd ssocr
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$ make
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$ sudo make PREFIX=/usr install # On most systems
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$ make deb # (Optional) This allows you to make a deb so that you apt is aware of ssocr
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```
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To enable the OCR of a seven segment display 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: seven_segments
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source:
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- entity_id: camera.seven_segments
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```
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{% configuration %}
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ssocr_bin:
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description: The command line tool `ssocr`. Set it if you use a different name for the executable.
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required: false
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default: ssocr
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type: string
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x_position:
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description: X coordinate of the upper left corner of the area to crop.
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required: false
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default: 0
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type: integer
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y_position:
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description: Y coordinate of the upper left corner of the area to crop.
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required: false
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default: 0
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type: integer
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height:
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description: Height of the area to crop.
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required: false
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default: 0
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type: integer
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width:
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description: Width of the area to crop.
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required: false
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default: 0
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type: integer
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rotate:
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description: Rotation of the image.
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required: false
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default: 0
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type: integer
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threshold:
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description: Threshold for the difference between the digits and the background.
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required: false
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default: 0
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type: integer
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digits:
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description: Number of digits in the display.
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required: false
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default: -1
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type: integer
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extra_arguments:
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description: Other arguments to use. Like `-D`, `dilation`, `erosion`, `greyscale`, `make_mono`, etc.
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required: false
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type: string
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source:
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description: List of image sources.
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required: true
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type: list
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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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### {% linkable_title Setup process %}
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It's suggested that the first attempt to determine the needed parameters is using `ssocr` directly. This may require a couple of iterations to get the result
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```bash
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$ ssocr -D erosion crop 390 250 490 280 -t 20 -d 4 seven-seg.png
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```
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This would lead to the following entry for the `configuration.yaml` file:
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```yaml
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camera:
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- platform: local_file
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file_path: /home/homeassistant/.homeassistant/seven-seg.png
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name: seven_segments
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image_processing:
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- platform: seven_segments
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x_position: 390
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y_position: 250
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height: 280
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width: 490
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threshold: 20
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digits: 4
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source:
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- entity_id: camera.seven_segments
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```
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<p class='img'>
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<img src='{{site_root}}/images/screenshots/ssocr.png' />
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</p>
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With the help of a [template sensor](/components/sensor.template/), the value can be shown as badge.
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{% raw %}
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```yaml
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sensor:
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- platform: template
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sensors:
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power_meter:
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value_template: '{{ states.image_processing.sevensegment_ocr_seven_segments.state }}'
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friendly_name: 'Ampere'
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unit_of_measurement: 'A'
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```
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{% endraw %}
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