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STEVALSTWINK1TB and UNICO

NRaha.1
Associate II

I have a STEVALSTWINK1TB board which I am trying to connect to Unico so that I can program the ml core in the ISM 330DHC chip. However, I cannot find the option for ISM330DHC chip on UNICO and the closest I can find is ISM330DHCX, but when I try to connect to it, an error message appears saying that the board does not respond. Is STEVALSTWINK1TB compatible with UNICO? If so, how should I go about connecting it to UNICO?

1 ACCEPTED SOLUTION

Accepted Solutions
JWu.12
Associate III

Hi, no, the STEVALSTWINK1TB is not compatible con Unico GUI, at least for the direct acquisition of the sensor data, the only fully compatible tool is the STEVAL-MKI109V3 (https://www.st.com/en/evaluation-tools/steval-mki109v3.html). You can however use Unico in "offline mode" as shown in the video below, to build a decision tree, and then insert the code in an embedded project, e.g. the FP-SNS-DATALOG1 pack (https://www.st.com/en/embedded-software/fp-sns-datalog1.html). To feed Unico you can use the hsdatalog_to_unico.py in the Utilities folder of the pack.

https://www.youtube.com/watch?v=m10Z21AoT7E

You can see here the an example of the full flow of the use of STWINKT1B + Unico for ML applications: https://github.com/STMicroelectronics/STMems_Machine_Learning_Core/tree/master/configuration_examples/example_4_stwin_stble_unico

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1 REPLY 1
JWu.12
Associate III

Hi, no, the STEVALSTWINK1TB is not compatible con Unico GUI, at least for the direct acquisition of the sensor data, the only fully compatible tool is the STEVAL-MKI109V3 (https://www.st.com/en/evaluation-tools/steval-mki109v3.html). You can however use Unico in "offline mode" as shown in the video below, to build a decision tree, and then insert the code in an embedded project, e.g. the FP-SNS-DATALOG1 pack (https://www.st.com/en/embedded-software/fp-sns-datalog1.html). To feed Unico you can use the hsdatalog_to_unico.py in the Utilities folder of the pack.

https://www.youtube.com/watch?v=m10Z21AoT7E

You can see here the an example of the full flow of the use of STWINKT1B + Unico for ML applications: https://github.com/STMicroelectronics/STMems_Machine_Learning_Core/tree/master/configuration_examples/example_4_stwin_stble_unico