Implementing AI/ML on KW45B41Z-EVK using eIQ TSS and Ported TFLM Middleware

[Srushti_Mulimani]

Hi NXP Community,

I am working on an edge AI application for the KW45B41Z-EVK (Cortex-M33) and would like advice on deploying a machine learning model on this board.

Since the KW45 SDK does not include the eIQ/TFLM middleware by default, my plan is:

1. Model Training: Train an n-class classification model for time-series data using eIQ Time Series Studio (eIQ TSS). Since the KW45 is not listed as a target in eIQ TSS, I selected the FRDM-MCXN947 (Cortex-M33) as the target platform to export the model.

2. Runtime Deployment: Port the middleware/eiq/tensorflow-lite folder from the FRDM-MCXN947 SDK into my KW45 SDK project and link it with CMSIS-NN.

My Questions:

• Is porting the eIQ TFLM middleware from the MCXN947 SDK to the KW45 SDK a valid and supported approach?

• Is selecting the FRDM-MCXN947 in eIQ TSS suitable for generating models to run on the KW45?

• Is there any other recommended or native workflow to implement AI/ML on the KW45B41Z-EVK?

Thanks for your help!

[Srushti_Mulimani]

Hi NXP Support Team & Community,

I am writing to follow up on this inquiry, as finding a resolution is quite urgent for my current project timeline.

Could someone from the NXP team please provide a quick confirmation on whether porting the eIQ/TFLM middleware from the FRDM-MCXN947 SDK over to the KW45 SDK is a valid and supported workaround? Any brief guidance or confirmation on the recommended workflow would be extremely helpful so I can confidently proceed with development.

Thank you in advance for your time and assistance!

KW45B41Z-EVK EIQ-TOOLKIT EIQ-TFLITE-MICRO #AI/ML