AI on the Edge Device

Getting Started

  • Welcome
  • Installation
  • Initial Setup
  • Hardware Compatibility
  • Best Practice
  • Frequently Asked Questions

External Links

  • Releases
  • Web Installer/Console
  • Place an Issues
  • Join a Discussions

Configuration

  • ROI (Region of Interest)
  • Model Selection
  • Neural Network Types
  • Over-The-Air (OTA) Update

Advanced

  • Integration into Home Assistant
  • External LED
  • Living on the edge
  • Configuration Parameter Details
  • Configuration
  • Analog/Digital Transition on Watermeters
  • Learn a model with your own images
  • Correction Algorithm
  • Additional Information

Troubleshooting

  • Error Codes
  • Error Debugging
  • Frequent Reboots

API's

  • REST API
  • MQTT API
  • Influx DB

Development

  • Build the Project
  • Demo Mode
  • Scripted File Upload
  • Testing
  • Preparing for Release

Old Pages (no longer maintained)

  • Integrated Functions
  • Gasmeter Log-Downloader
  • Migration from water-meter „old“ to water-meter “AI-on-the-edge-device”

Asorted Pages

  • Graphical Configuration
AI on the Edge Device
  • »
  • Advanced »
  • Additional Information
  • Edit on GitHub

The following links point to additional information in other repos:

Digits

  • Training and using a neural network to readout the value of a digital counter
  • Training the CNN neural network

Analog

  • Training and using a neural network to read out the value of an analog display
  • Training the CNN neural network
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