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Fix grammar and typos in README.md for clarity and consistency (#3308)
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README.md
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README.md
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<img src="images/icon/watermeter.svg" width="100px">
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<img src="images/icon/watermeter.svg" width="100px">
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Artificial intelligence based systems have become established in our everyday lives. Just think of speech or image recognition. Most of the systems rely on either powerful processors or a direct connection to the cloud for doing the calculations there. With the increasing power of modern processors, the AI systems are coming closer to the end user – which is usually called **edge computing**.
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Artificial intelligence based systems have become established in our everyday lives. Just think of speech or image recognition. Most of the systems rely on either powerful processors or a direct connection to the cloud for doing the calculations there. With the increasing power of modern processors, the AI systems are coming closer to the end user – which is usually called **edge computing**.
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Here, this edge computing is put into a practically oriented example, where an AI network is implemented on an ESP32 device so: **AI on the edge**.
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In this project, edge computing is demonstrated through a practical example, where an AI network is implemented on an ESP32 device, hence: **AI on the edge**.
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This project allows you to digitize your **analog** water, gas, power and other meters using cheap and easily available hardware.
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This project allows you to digitize your **analog** water, gas, power and other meters using cheap and easily available hardware.
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All you need is an [ESP32 board with a supported camera](https://jomjol.github.io/AI-on-the-edge-device-docs/Hardware-Compatibility/) and something of a practical hand.
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All you need is an [ESP32 board with a supported camera](https://jomjol.github.io/AI-on-the-edge-device-docs/Hardware-Compatibility/) and some practical skills.
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<img src="images/esp32-cam.png" width="200px">
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<img src="images/esp32-cam.png" width="200px">
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@@ -17,13 +17,13 @@ All you need is an [ESP32 board with a supported camera](https://jomjol.github.i
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- Integrated camera and illumination
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- Integrated camera and illumination
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- Web interface for administration and control
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- Web interface for administration and control
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- OTA interface for updating directly via the web interface
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- OTA interface for updating directly via the web interface
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- Full integration into Homeassistant
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- Full integration with Home Assistant
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- Support for Influx DB 1 and 2
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- Support for Influx DB 1 and 2
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- MQTT
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- MQTT
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- REST API
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- REST API
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## Workflow
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## Workflow
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The device takes a photo of your meter at a defined interval. It then extracts the Regions of Interest (ROIs) from the image and runs them through artificial intelligence. As a result, you get the digitized value of your meter.
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The device captures a photo of your meter at set intervals. It then extracts the Regions of Interest (ROIs) from the image and runs them through artificial intelligence. As a result, you get the digitized value of your meter.
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There are several options for what to do with that value. Either send it to an MQTT broker, write it to an InfluxDb or simply provide access to it via a REST API.
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There are several options for what to do with that value. Either send it to an MQTT broker, write it to an InfluxDb or simply provide access to it via a REST API.
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@@ -74,7 +74,7 @@ See the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Inst
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### Flashing the SD Card
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### Flashing the SD Card
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The SD card can be setup automatically after the firmware got installed. See the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/#remote-setup-using-the-built-in-access-point) for details. For this to work, the SD card must be FAT formated (which is the default on a new SD card).
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The SD card can be setup automatically after the firmware got installed. See the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/#remote-setup-using-the-built-in-access-point) for details. For this to work, the SD card must be FAT formated (which is the default on a new SD card).
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Alternatively the SD card still can be setup manually, see the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/#3-sd-card) for details!
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Alternatively, the SD card still can be set up manually, see the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/#3-sd-card) for details!
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## Casing
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## Casing
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Various 3D-printable housing can be found here:
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Various 3D-printable housing can be found here:
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@@ -89,7 +89,7 @@ If you would like to support the developer with a cup of coffee, you can do that
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<a href="https://www.paypal.com/donate?hosted_button_id=8TRSVYNYKDSWL"><img border="0" src="images/paypal.png" width="200px" target="_blank"></a>
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<a href="https://www.paypal.com/donate?hosted_button_id=8TRSVYNYKDSWL"><img border="0" src="images/paypal.png" width="200px" target="_blank"></a>
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## Support
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## Support
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If you have any technical problems please search the [discussions](https://github.com/jomjol/AI-on-the-edge-device/discussions). In case you found a ug or have a feature request, please open an [issue](https://github.com/jomjol/AI-on-the-edge-device/issues).
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If you have any technical problems please search the [discussions](https://github.com/jomjol/AI-on-the-edge-device/discussions). In case you found a bug or have a feature request, please open an [issue](https://github.com/jomjol/AI-on-the-edge-device/issues).
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In other cases you can contact the developer via email: <img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/mail.jpg" height="25">
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In other cases you can contact the developer via email: <img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/mail.jpg" height="25">
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