Why I have bad tag scenes detection performance with a AOA project ?
Description
During tag identification step, the algorithm looks for square shapes in the observed scene.
On Android tablets, bad performances had been noticed when the scene contains a lot of squares (for example on grids).
Solution
When a project contains only tag scenes, a higher resolution is automatically selected to increase the detection distance.
It is possible to deactivate the automatic resolution and manually select 640x480.
The drawback is a loss of detection distance.
Remark:
The loss of performance is less significant on iOS tablets. To keep a good detection distance and acceptable performance on scenes containing many square shapes, it is preferable to use an iPad.
On Android tablets, bad performances had been noticed when the scene contains a lot of squares (for example on grids).
Keywords
License, Ecostruxure augmented operator advisor, IOS tablet, performance
Case author:
Lilian Cabos
Product Familly
Ecostruxure Augmented Operator Advisor
During tag identification step, the algorithm looks for square shapes in the observed scene.
On Android tablets, bad performances had been noticed when the scene contains a lot of squares (for example on grids).
Solution
When a project contains only tag scenes, a higher resolution is automatically selected to increase the detection distance.
It is possible to deactivate the automatic resolution and manually select 640x480.
The drawback is a loss of detection distance.
Remark:
The loss of performance is less significant on iOS tablets. To keep a good detection distance and acceptable performance on scenes containing many square shapes, it is preferable to use an iPad.
On Android tablets, bad performances had been noticed when the scene contains a lot of squares (for example on grids).
Keywords
License, Ecostruxure augmented operator advisor, IOS tablet, performance
Case author:
Lilian Cabos
Product Familly
Ecostruxure Augmented Operator Advisor
Gepubliceerd voor: Schneider Electric Belgium
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