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# Welcome to the AI-on-the-edge-device
<img src="images/icon/watermeter.svg" width="100px">
# AI on the Edge Device: Digitizing Your non-digital meters with an ESP32-CAM
<p align="center">
<img src="images/icon/watermeter.svg" width="150px">
</p>
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, a concept known as **edge computing**.
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**.
Artificial intelligence is everywhere, from speech to image recognition. While most AI systems rely on powerful processors or cloud computing, **edge computing** brings AI closer to the end user by utilizing the capabilities of modern processors.
This project demonstrates edge computing using the **ESP32**, a low-cost, AI-capable device, to digitize your analog meters—whether water, gas, or electricity. With affordable hardware and simple instructions, you can turn any standard meter into a smart device.
This project allows you to digitize your **analog** water, gas, power and other meters using cheap and readily available hardware.
Let's explore how to make **AI on the Edge** a reality! 🌟
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.
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. 🛠️
<img src="images/esp32-cam.png" width="200px">
---
## Key features
- Tensorflow Lite (TFLite) integration – including easy-to-use wrapper
- Inline image processing (feature detection, alignment, ROI extraction)
- **Small** and **cheap** device (3 x 4.5 x 2 cm³, < 10 EUR)
- Integrated camera and illumination
- Web interface for administration and control
- OTA interface for updating directly via the web interface
- Full integration with Home Assistant
- Support for Influx DB 1 and 2
- MQTT
- REST API
## Key Features 🚀
- 🔗 **Tensorflow Lite (TFLite) integration** – including an easy-to-use wrapper.
- 📸 **Inline image processing** (feature detection, alignment, ROI extraction).
- 💡 **Small** and **affordable** device (3 x 4.5 x 2 cm³, less than 10 EUR).
- 📷 Integrated camera and illumination.
- 🌐 Web interface for administration and control.
- 🔄 OTA interface for updating directly via the web interface.
- 🏠 Full integration with Home Assistant.
- 📊 Support for **Influx DB 1** and **2**.
- 📡 **MQTT protocol** support.
- 📥 **REST API** available for data access.
## Workflow
## Workflow 🔧
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.
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.
There are several options for what to do with that value:
- 📤 Send it to a **MQTT broker**.
- 📝 Write it to an **InfluxDb**.
- 🔗 Provide access via a **REST API**.
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/idea.jpg" width="600">
<p align="center">
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/idea.jpg" width="600">
</p>
## Impressions
### AI-on-the-edge-device on a Water Meter
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/watermeter_all.jpg" width="200"><img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/main.jpg" width="200"><img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/size.png" width="200">
---
### Web Interface (Water Meter)
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/watermeter.jpg" width="600">
## Impressions 📷
### AI-on-the-edge-device on a Electrical Power Meter
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/powermeter.jpg" width="600">
### AI-on-the-edge-device on a Water Meter 💧
<p align="center">
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/watermeter_all.jpg" width="200"><img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/main.jpg" width="200"><img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/size.png" width="200">
</p>
### Web Interface (Water Meter) 💻
<p align="center">
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/watermeter.jpg" width="600">
</p>
## Setup
There is growing [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/) which provides you with a lot of information. Head there to get a start, set it up and configure it.
### AI-on-the-edge-device on an Electrical Power Meter ⚡
<p align="center">
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/powermeter.jpg" width="600">
</p>
There are also articles in the German Heise magazine "make:" about the setup and technical background (behind a paywall): [DIY - Setup](https://www.heise.de/select/make/2021/2/2103513300897420296)
---
A lot of people created useful YouTube videos which might help you getting started.
Here a small selection:
## Setup 🛠️
There is growing [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/) which provides you with a lot of information. Head there to get started, set it up, and configure it.
- [youtube.com/watch?v=HKBofb1cnNc](https://www.youtube.com/watch?v=HKBofb1cnNc)
- [youtube.com/watch?v=yyf0ORNLCk4](https://www.youtube.com/watch?v=yyf0ORNLCk4)
- [youtube.com/watch?v=XxmTubGek6M](https://www.youtube.com/watch?v=XxmTubGek6M)
- [youtube.com/watch?v=mDIJEyElkAU](https://www.youtube.com/watch?v=mDIJEyElkAU)
- [youtube.com/watch?v=SssiPkyKVVs](https://www.youtube.com/watch?v=SssiPkyKVVs)
- [youtube.com/watch?v=MAHE_QyHZFQ](https://www.youtube.com/watch?v=MAHE_QyHZFQ)
- [youtube.com/watch?v=Uap_6bwtILQ](https://www.youtube.com/watch?v=Uap_6bwtILQ)
There are also articles in the German Heise magazine "make:" about the setup and technical background (behind a paywall): [DIY - Setup](https://www.heise.de/select/make/2021/2/2103513300897420296) 📰
For further background information, head to [Neural Networks](https://www.heise.de/select/make/2021/6/2126410443385102621), [Training Neural Networks](https://www.heise.de/select/make/2022/1/2134114065999161585) and [Programming on the ESP32](https://www.heise.de/select/make/2022/2/2204010051597422030).
A lot of people have created useful YouTube videos that might help you get started:
- 🎥 [youtube.com/watch?v=HKBofb1cnNc](https://www.youtube.com/watch?v=HKBofb1cnNc)
- 🎥 [youtube.com/watch?v=yyf0ORNLCk4](https://www.youtube.com/watch?v=yyf0ORNLCk4)
- 🎥 [youtube.com/watch?v=XxmTubGek6M](https://www.youtube.com/watch?v=XxmTubGek6M)
- 🎥 [youtube.com/watch?v=mDIJEyElkAU](https://www.youtube.com/watch?v=mDIJEyElkAU)
- 🎥 [youtube.com/watch?v=SssiPkyKVVs](https://www.youtube.com/watch?v=SssiPkyKVVs)
- 🎥 [youtube.com/watch?v=MAHE_QyHZFQ](https://www.youtube.com/watch?v=MAHE_QyHZFQ)
- 🎥 [youtube.com/watch?v=Uap_6bwtILQ](https://www.youtube.com/watch?v=Uap_6bwtILQ)
### Download
For further background information, head to:
- [Neural Networks](https://www.heise.de/select/make/2021/6/2126410443385102621)
- [Training Neural Networks](https://www.heise.de/select/make/2022/1/2134114065999161585)
- [Programming on the ESP32](https://www.heise.de/select/make/2022/2/2204010051597422030)
---
## Download 🔽
The latest available version can be found on the [Releases page](https://github.com/jomjol/AI-on-the-edge-device/releases).
### Flashing the ESP32
Initially you will have to flash the ESP32 via a USB connection. Later updates are possible directly over the air (OTA using Wi-Fi).
---
## Flashing the ESP32 💾
Initially, you will have to flash the ESP32 via a USB connection. Later updates are possible directly over the air (OTA using Wi-Fi).
There are different ways to flash your ESP32:
- The preferred way is the [Web Installer and Console](https://jomjol.github.io/AI-on-the-edge-device/index.html) which is a browser-based tool to flash the ESP32 and extract the log over USB:
![](images/web-installer.png)
- The preferred way is the [Web Installer and Console](https://jomjol.github.io/AI-on-the-edge-device/index.html), a browser-based tool to flash the ESP32 and extract the log over USB:
![](images/web-installer.png)
- Flash Tool from Espressif
- ESPtool (command-line tool)
See the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/) for more information.
### Flashing the SD Card
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).
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!
---
## Casing
Various 3D-printable housing can be found here:
- https://www.thingiverse.com/thing:4573481 (Water Meter)
- https://www.thingiverse.com/thing:5028229 (Power Meter)
- https://www.thingiverse.com/thing:5224101 (Gas Meter)
- https://www.thingiverse.com/thing:4571627 (ESP32-cam housing only)
## Flashing the SD Card 💾
The SD card can be set up automatically after the firmware is 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 formatted (which is the default on a new SD card).
## Donate
If you would like to support the developer with a cup of coffee, you can do that via [PayPal](https://www.paypal.com/donate?hosted_button_id=8TRSVYNYKDSWL).
Alternatively, the SD card can still be set up manually. See the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/#3-sd-card) for details.
<a href="https://www.paypal.com/donate?hosted_button_id=8TRSVYNYKDSWL"><img border="0" src="images/paypal.png" width="200px" target="_blank"></a>
---
## Support
If you have any technical problems please search the [discussions](https://github.com/jomjol/AI-on-the-edge-device/discussions). In case you find a bug or have a feature request, please open an [issue](https://github.com/jomjol/AI-on-the-edge-device/issues).
## Casing 🛠️
Various 3D-printable housings can be found here:
- 💧 [Water Meter](https://www.thingiverse.com/thing:4573481)
- ⚡ [Power Meter](https://www.thingiverse.com/thing:5028229)
- 🔥 [Gas Meter](https://www.thingiverse.com/thing:5224101)
- 📷 [ESP32-cam housing only](https://www.thingiverse.com/thing:4571627)
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">
---
## Changes and History
See [Changelog](Changelog.md).
## Donate ☕
If you'd like to support the developer with a cup of coffee, you can do so via [PayPal](https://www.paypal.com/donate?hosted_button_id=8TRSVYNYKDSWL).
## Build It Yourself
See [Build Instructions](code/README.md).
<p align="center">
<a href="https://www.paypal.com/donate?hosted_button_id=8TRSVYNYKDSWL"><img border="0" src="images/paypal.png" width="200px" target="_blank"></a>
</p>
## Tools
* Logfile downloader and combiner (Thx to [reserve85](https://github.com/reserve85))
* Files see ['/tools/logfile-tool'](tbd), how-to see [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/outdated--Gasmeter-Log-Downloader/)
---
## Additional Ideas
There are some ideas and feature requests which are not currently being pursued – mainly due to capacity reasons on the part of the developers.
They features are collected in the [issues](https://github.com/jomjol/AI-on-the-edge-device/issues) and in [FeatureRequest.md](FeatureRequest.md).
## Support 💬
If you have any technical problems, please search the [discussions](https://github.com/jomjol/AI-on-the-edge-device/discussions). In case you find a bug or have a feature request, please open an [issue](https://github.com/jomjol/AI-on-the-edge-device/issues).
For any other issues, you can contact the developer via email:
<p align="center">
<img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/mail.jpg" height="25">
</p>
---
## Changes and History 📜
See the [Changelog](Changelog.md) for detailed information.
---
## Build It Yourself 🔨
See the [Build Instructions](code/README.md) for step-by-step guidance.
---
## Tools 🛠️
* Logfile downloader and combiner (Thanks to [reserve85](https://github.com/reserve85))
* Files can be found at ['/tools/logfile-tool'](tbd), and how-to instructions are in the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/outdated--Gasmeter-Log-Downloader/).
---
## Additional Ideas 💡
There are some ideas and feature requests which are not currently being pursued—mainly due to capacity constraints on the part of the developers. These features are collected in the [issues](https://github.com/jomjol/AI-on-the-edge-device/issues) and in [FeatureRequest.md](FeatureRequest.md).
---
## Our Contributors ❤️
<!-- Autogenerated table, do not manually update!
It gets automatically updated on the next release.
See https://github.com/marketplace/actions/contribute-list -->
<!-- readme: contributors -start -->
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