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Options for getting started with ML &AI on STM32?

AMars.4
Associate III

Hi,

I'm interested in working with ML and AI on STM32, after spending some time looking through ST documentation I think using NanoEdge AI Studio + ST board is the quickest way to help me understand things.

From what I can see, the latest available function pack from ST is FP_AI_MONITOR1 which currently supports the STEVAL-STWINKT1B, sadly this board is out of stock with a very long lead time... are there plans by ST to have other boards supported by this function pack?

I do have the STM32L4-IOT node (B-L475E-IOT01A) so can follow along with this guide:

https://wiki.st.com/stm32mcu/wiki/AI:How_to_perform_motion_sensing_on_STM32L4_IoTnode

I see various other boards are supported in NanoEdge AI, so this might be another route in, rather than rely on the function pack.

Maybe I'm missing something, or is the current way of things?

Many thanks.

Anthony

1 ACCEPTED SOLUTION

Accepted Solutions
Laurent
ST Employee

Hello,

FP-AI-MONITOR1 indeed only supports STWIN1B , but ancestors like FP-AI-SENSING1 does support B-L475E-IOT01A (among others ) . Unfortunately FP-AI-SENSING1 features only x-cube-ai and not NanoEdge AI.

Alternatively , using cube-mx as described in https://wiki.st.com/stm32mcu/wiki/AI:How_to_perform_motion_sensing_on_STM32L4_IoTnode can be help to understand things from scratch

best regards

L.

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2 REPLIES 2
Laurent
ST Employee

Hello,

FP-AI-MONITOR1 indeed only supports STWIN1B , but ancestors like FP-AI-SENSING1 does support B-L475E-IOT01A (among others ) . Unfortunately FP-AI-SENSING1 features only x-cube-ai and not NanoEdge AI.

Alternatively , using cube-mx as described in https://wiki.st.com/stm32mcu/wiki/AI:How_to_perform_motion_sensing_on_STM32L4_IoTnode can be help to understand things from scratch

best regards

L.

AMars.4
Associate III

I notice there is a more up to date example / function pack available... very recent (August 2022):

FP-AI-PDMWBSOC

STEVAL-PROTEUS1

I will study these.

Anthony