Application Software Pack - ML-based System State Monitor

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Application Software Pack - ML-based System State Monitor

Application Software Pack - ML-based System State Monitor

The attached lab guide walks through step-by-step how to use the new Application Software Pack for the ML-based System State Monitor found on Github

This is related to AN13562 -  Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs

This lab guide was written for FRDM-MCXN947 but the application software pack also supports RT1170, LPC55S69 and Kinetis K66F devices. It can also be ported to other MCX, i.MX RT, LPC, and Kinetis devices.

There's also a document on Dataset creation that goes into more detail on the considerations to make when gathering data. For more details visit the ML-based System State Monitor website on NXP.com

The lab uses the FXLS8974CF accelerometer found on the ACCEL 4 Click board or the FRDM-STBI-A8974 board. The FXLS8974CF is the latest accelerometer from NXP and is what is recommended to use. 


The video below walks through the steps for the FRDM-STBC-AGM01 but there may be updated details in the lab guide so follow the lab guide if there is any differences.

 

anthony_huereca_0-1646673182605.gif

 

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मीशो कस्टमर केयर पर कॉल कर (+91)9234)"320"841)@

मीशो कस्टमर केयर पर कॉल कर (+91)9234)"320"841)@

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Last update:
‎07-30-2024 11:49 AM
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