# Model Selection - AI on the Edge Device

# Model Selection

Warning

This page overlaps Neural Network Types. They should be merged to one page!

In the Graphical Configuration Page, you can choose different models depending on your needs.

This wiki page tries to help you on which model to select. For more technical/deeper explanations have a look on Neural-Network-Types.

## Digit Models

For digits on water meters, gas-meters or power meters you can select between two main types of models.

### dig-class11

This model can recognize full digits. All intermediate states shown a "N" for not a number. But in post process it uses older values to fill up the "N" values if possible.

#### Main features

- well suited for LCD digits
- with the ExtendedResolution option is not supported. (Only in conjunction with ana-class100 / ana-cont)

### dig-class100 / dig-cont

These models are used to get a continuous reading with intermediate states. To see what the models are doing, you can go to the Recognition page.

#### Main features

- suitable for all digit displays.
- Advantage over dig-class11 that results continue to be calculated in the transition between digits.
- With the ExtendedResolution option, higher accuracy is possible by adding another digit.

Look here for a list of digit images used for the training

#### dig-class100 vs. dig-cont

The difference is in the internal processing. Take the one that gives you the best results.

## Analog pointer models

### ana-class100 / ana-cont

For pointers on water meters use the analog models. You can only choose between ana-class100 and ana-cont. Both do mainly the same.

#### Main features

- for all analogue pointers, especially for water meters.
- With the ExtendedResolution option, higher accuracy is possible by adding another digit.

Look here for a list of pointer images used for the training

#### ana-class100 vs. ana-cont

The difference is in the internal processing. Take the one that gives you the best results. Both models learn from the same data.

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