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Choosing the Best Architecture for Motion Recognition with NanoEdge AI

Mael_drd
Visitor

Hello everyone,

For a personal motion recognition project using artificial intelligence and NanoEdge AI, I am looking to purchase components. I am hesitating between two architectures and would like to know if both are viable options and, if so, which one is the best and what the differences are.

The first option: STEVAL-MKI109D with STEVAL-MKI229A
The second option: STEVAL-MKI233KA + STEVAL-MKIGIBV5 + STEVAL-MKI109V3 or STEVAL-MKI109D

Thank you in advance for your feedback!

1 ACCEPTED SOLUTION

Accepted Solutions
Julian E.
ST Employee

Hello @Mael_drd ,

 

The second option can be useful if you need the sensor to be remote. Otherwise, the first option is the better choice.

Also, recommend the Proteus, which is perfectly suited for motion recognition—it's smaller and more affordable.

 

Have a good day,

Julian


In order to give better visibility on the answered topics, please click on 'Accept as Solution' on the reply which solved your issue or answered your question.

View solution in original post

1 REPLY 1
Julian E.
ST Employee

Hello @Mael_drd ,

 

The second option can be useful if you need the sensor to be remote. Otherwise, the first option is the better choice.

Also, recommend the Proteus, which is perfectly suited for motion recognition—it's smaller and more affordable.

 

Have a good day,

Julian


In order to give better visibility on the answered topics, please click on 'Accept as Solution' on the reply which solved your issue or answered your question.