From d914e69e7a1d03515e4554f377cbbab608647b90 Mon Sep 17 00:00:00 2001 From: jomjol <30766535+jomjol@users.noreply.github.com> Date: Sun, 30 Oct 2022 21:57:28 +0100 Subject: [PATCH] Update Webinstaller --- docs/index.html | 76 +----------------- docs/releases/download/v11.2.0/bootloader.bin | Bin 0 -> 26864 bytes docs/releases/download/v11.2.0/partitions.bin | Bin 0 -> 3072 bytes docs/releases/download/v12.0.1/firmware.bin | Bin 0 -> 1887344 bytes 4 files changed, 2 insertions(+), 74 deletions(-) create mode 100644 docs/releases/download/v11.2.0/bootloader.bin create mode 100644 docs/releases/download/v11.2.0/partitions.bin create mode 100644 docs/releases/download/v12.0.1/firmware.bin diff --git a/docs/index.html b/docs/index.html index 7f114447..144f1310 100644 --- a/docs/index.html +++ b/docs/index.html @@ -9,45 +9,7 @@ padding-left: 60px; padding-right: 60px; "> -
Artificial intelligence based systems have been established in our every days live. Just think of speech or image recognition. Most of the systems relay on either powerful processors or a direct connection to the cloud for doing the calculations up there. With the increasing power of modern processors the AI systems are coming closer to the end user - which is usually called edge computing. - Here this edge computing is brought into a practical oriented example, where a AI network is implemented on a ESP32 device so: AI on the edge. -
-This projects allows you to digitalize your analoge water, gas, power and other meters using cheap and easily available hardware.
-All you need is an ESP32 board with a supported camera and a bit of a practical hand.
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The device takes a photo of your meter at a defined interval. It then extracts the Regions of Interest (ROI's) out of it and runs them through an artificial inteligence. As a result, you get the digitalized value of your meter.
-There are several options what to do with that value. Either send it to a MQTT broker, write it to an InfluxDb or simply provide it throug a REST API.
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There is a growing wiki which provides you with a lot of information. - Head there to get a start, set it up and configure it. -
-There are also a articles in the German Heise magazine "make:" about the setup and the technical background (behind a paywall) : DIY - Setup
-For further background information, head to Neural Networks, Training Neural Networks and Programming on the ESP32
- -The latest available version is available on the Releases page.
-Initially you will have to flash it through an USB connection. Later an update is possible directly over the Air (OTA).
... or use the
(AI-on-the-edge-device Installer powered by ESP Web Tools) A 3d-printable housing can be found here: See Build Instructions. If you would like to support the developer with a cup of coffee you can do that via Paypal.
- Casing
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- Build it yourself
- Donate
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- If you have any technical topics, you can create an Issue.
In other cases you can contact the developer via email:
See Changelog
-There are some ideas and feature requests which are not followed currently - mainly due to capacity reasons on side of the developer. They are collected here: FeatureRequest.md
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