tagformance-viewer-software
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Analysis and characterization of tags (materials and population)

Our top test service includes a full analysis of the performance of your tags when placed on different materials and with other tags surrounding the one under test.

You probably know that some RFID tags are not performing well on liquids or metal... but did you know that some materials you usually attach them on affect their performance, too? Cardboard, plastic, wood,... Even if plastic is PVC or PTFE makes the tag to perform better or worst! Materials also affect differently depending on the frequency range (ETSI, FCC), and with this test we can even detect whether on-metal tags would work on non-metallic surfaces or not.


Effect of materials

You probably know that some RFID tags are not performing well on liquids or metal… but did you know that some materials you usually attach them on affect their performance, too?
Cardboard, plastic, wood,… Even if plastic is PVC or PTFE makes the tag to perform better or worst!
Materials also affect differently depending on the frequency range (ETSI, FCC), and with this test we can even detect whether on-metal tags would work on non-metallic surfaces or not.
Orientation (not only polarization) can also make the difference between a well performing tag and a low performance tag. That's the reason why we include an orientation test in this service, measuring threshold, sensitivity, backscatter, and all the tag parameters, on 360º.


Rotation diagram

Orientation (not only polarization) can also make the difference between a well performing tag and a low performance tag.
That’s the reason why we include an orientation test in this service, measuring threshold, sensitivity, backscatter, and all the tag parameters, on 360º.
Testing population of tags is probably the most amazing test we have ever done. Of course we all know that one tag can affect another one when they are placed near each other... but how is this effect reflected into reading distance, sensitivity or backscatter power? Are there models of chips or tags which behave better with hundreds of tags surrounding? Is population also affecting the performance if I want to read just one tag? Is there an optimum reading power to make an inventory of the 100% of the tags, instead of using the maximum power available?


Population of tags

Testing population of tags is probably the most amazing test we have ever done. Of course we all know that one tag can affect another one when they are placed near each other… but how is this effect reflected into reading distance, sensitivity or backscatter power?
Are there models of chips or tags which behave better with hundreds of tags surrounding?
Is population also affecting the performance if I want to read just one tag?
Is there an optimum reading power to make an inventory of the 100% of the tags, instead of using the maximum power available?
LET'S GO!
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