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Album: Public (Denise SANFILIPPO)

by Denise SANFILIPPO
DeniseSANFILIPPO_6-1747822320561.png
Figure 2: Choose your environment (web browser or mobile app)
Figure 3: Pair your device
Figure 4: Connect the device
Figure 5: Start evaluating the AI model
Figure 6: Evaluate the AI model via the mobile app
Figure 7: Explore My datasets and My Projects sections
Figure 1: Smart asset tracking application
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Figure 1: Running
Figure 1: Human Activity Recognition project
Figure 2:  Human Activity Recognition: a ready-to-run use case
Figure 3: Choose your environment: either Web browser or ST AIoT Craft mobile app
Figure 4: Turn on the board in DFU mode
Figure 5: Explore My datasets and My Projects sections
Figure 1: Rust programming language
Figure 2: crates.io, the Rust Package Registry
Figure 3: GitHub repository to provide platform-independent Rust drivers for MEMS sensors.
Figure 3: GitHub repository to provide platform-independent Rust drivers for MEMS sensors
Figure 3: GitHub repository to provide platform-independent Rust drivers for MEMS sensors
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Figure 1: IoT System Entities
Figure 2: ST AIoT Craft IoT API Architecture
Figure 3: ST AIoT Craft IoT API specification
Figure 2: STEVAL-MKI246KA
Figure 1: STEVAL-MKI109D
Figure 3: STEVAL-MKI246KA mounted onto the Air blower
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Figure 4: Connection of the boards to the PC
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MEMS_Studio_Programming.png
MEMS_Studio_SaveToFile.png
Figure 7: MEMS Studio - Quick setup
MLC_Data_patterns.png
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Figure 3: GitHub repository to provide platform-independent Rust drivers for MEMS sensors
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Added ‎2025-09-17 7:29 AM
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Figure 3: GitHub repository to provide platform-independent Rust drivers for MEMS sensors

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