home-assistant.io/source/_integrations/seven_segments.markdown
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Co-authored-by: Joakim Sørensen <joasoe@gmail.com>

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Co-authored-by: Joost Lekkerkerker <joostlek@outlook.com>

---------

Co-authored-by: Joakim Sørensen <joasoe@gmail.com>
Co-authored-by: Joost Lekkerkerker <joostlek@outlook.com>
2023-11-19 13:23:59 +01:00

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Markdown

---
title: Seven Segments OCR
description: Instructions on how to use OCR for seven segments displays into Home Assistant.
ha_category:
- Image processing
ha_release: 0.45
og_image: /images/screenshots/ssocr.png
ha_iot_class: Local Polling
ha_domain: seven_segments
ha_codeowners:
- '@fabaff'
ha_integration_type: integration
---
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](/integrations/camera/).
{% details "Notes for Home Assistant Core Installations" %}
`ssocr` needs to be available on your system. Check the installation instruction below:
```bash
sudo dnf -y install imlib2-devel # Fedora
sudo apt install libimlib2-dev # Ubuntu
brew install imlib2 # macOS
git clone https://github.com/auerswal/ssocr.git
cd ssocr
make
sudo make PREFIX=/usr install # On most systems
make deb # (Optional) This allows you to make a deb so that you apt is aware of ssocr
```
{% enddetails %}
## Configuration
To enable the OCR of a seven segment display in your installation, add the following to your `configuration.yaml` file:
```yaml
# Example configuration.yaml entry
image_processing:
- platform: seven_segments
source:
- entity_id: camera.seven_segments
```
{% configuration %}
ssocr_bin:
description: The command line tool `ssocr`. Set it if you use a different name for the executable.
required: false
default: ssocr
type: string
x_position:
description: X coordinate of the upper left corner of the area to crop.
required: false
default: 0
type: integer
y_position:
description: Y coordinate of the upper left corner of the area to crop.
required: false
default: 0
type: integer
height:
description: Height of the area to crop.
required: false
default: 0
type: integer
width:
description: Width of the area to crop.
required: false
default: 0
type: integer
rotate:
description: Rotation of the image.
required: false
default: 0
type: integer
threshold:
description: Threshold for the difference between the digits and the background.
required: false
default: 0
type: integer
digits:
description: Number of digits in the display.
required: false
default: -1
type: integer
extra_arguments:
description: Other arguments to use. Like `-D`, `dilation`, `erosion`, `greyscale`, `make_mono`, etc.
required: false
type: string
source:
description: List of image sources.
required: true
type: list
keys:
entity_id:
description: A camera entity id to get picture from.
required: true
type: string
name:
description: This parameter allows you to override the name of your `image_processing` entity.
required: false
type: string
{% endconfiguration %}
### Setup process
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
```bash
ssocr -D erosion crop 390 250 490 280 -t 20 -d 4 seven-seg.png
```
This would lead to the following entry for the `configuration.yaml` file:
```yaml
camera:
- platform: local_file
file_path: /home/homeassistant/.homeassistant/seven-seg.png
name: seven_segments
image_processing:
- platform: seven_segments
x_position: 390
y_position: 250
height: 280
width: 490
threshold: 20
digits: 4
source:
- entity_id: camera.seven_segments
```
<p class='img'>
<img src='/images/screenshots/ssocr.png' />
</p>
With the help of a [template sensor](/integrations/template), the value can be shown as badge.
{% raw %}
```yaml
sensor:
- platform: template
sensors:
power_meter:
value_template: "{{ states('image_processing.sevensegment_ocr_seven_segments') }}"
friendly_name: "Ampere"
unit_of_measurement: "A"
```
{% endraw %}