FP-SNS-DATALOG2 Firmware Package

The ST High Speed Datalog (FP-SNS-DATALOG2) is a comprehensive multisensor data capture and visualization toolkit, engineered to facilitate the development of embedded data science applications. The tool has been designed as an open and modular instrument, tailored for data scientists and embedded designers, that streamlines the capture of wideband and heterogeneous digital data streams from a variety of sensing and actuation platforms. It organizes the data into structured datasets that are readily compatible with mainstream data science toolchains, fostering reusability across multiple projects.

ST High Speed Datalog, by virtue of its data-centric design and user-friendly Python SDK, may run with hardware boards that supply real-time data streams empowering users with full control of the data acquisition process. The included firmware is compatible with the STBLESensor app, which also lets you manage the board and sensor configurations, start/stop data acquisition on SD card, and control data labeling. Sensor data can also be streamed using a C++-based companion host software or can be stored onto a microSD™ card. Via the host PC and Bluetooth® Low Energy app, it is possible to configure ISM330BX, ISM330DHCX, LSM6DSV16BX and LSM6DSV16X machine learning core unit (MLC) and the ISM330IS intelligent sensor processing unit (ISPU) to read the output of the selected algorithm.

The FP-SNS-DATALOG2 firmware can run on STEVAL-STWINBX1, STEVAL-STWINKT1B, STEVAL-MKBOXPRO, B-U585I-IOT02A, and X-NUCLEO-IKS02A1 with NUCLEO-U575ZI-Q or with NUCLEO-H7A3ZI-Q. ST high Speed datalog also natively supports STEVAL-PDETECT1, STEVAL-C34KAT1, STEVAL-C34KAT2, STEVAL-C34KPM1, STEVAL-C34DIL24 and STEVAL-MKI230KA add-ons for the STEVAL-STWINBX1.

The ST High Speed Datalog is part of the ST Edge AI suite, which is an integrated collection of software tools, designed to facilitate the development and deployment of embedded AI applications. This comprehensive suite supports both optimization and deployment of machine learning algorithms and neural network models, starting from data collection to final deployment on hardware, streamlining the workflow for professionals across various disciplines. The ST Edge AI suite supports various ST products: STM32 microcontrollers and microprocessors, Stellar microcontrollers and MEMS smart sensors. The ST Edge AI suite represents a strategic move to democratize edge AI technology, making it a pivotal resource for developers looking to harness the power of AI in embedded systems efficiently and effectively.

Here is the list of references to user documents:

• DB4865 : STM32Cube function pack for high speed datalogging and ultrasound processing
• UM3106 : Getting started with the STM32Cube function pack for high speed datalogging and ultrasound processing
• Doxygen: Doxygen documentation
• STM32Cube: STM32Cube

Known Limitations

• To run properly DATALOG2 example on STWIN.box, before using those applications, WIFI module firwmare must be upgraded. The binary is available in Utilities/WiFi_module_upgrade folder.
• The application has been tested with the following SD cards, formatted FAT32 with 32 KB allocation table:
  • SanDisk 32 GB Ultra HC C10 U1 A1 (p/n SDSQUA4-032G-GN6MA)
  • Verbatim 16 GB Class 10 U1 (p/n 44082)
  • Transcend Premium 16 GB U1 C10 (TS16GUSDCU1)
  • Kingston 8 GB HC C4 (SDC4/8 GB) For further details, please refer to UM3106

Development Toolchains and Compilers

• IAR Embedded Workbench for ARM (EWARM) toolchain V9.20.1
• RealView Microcontroller Development Kit (MDK-ARM) toolchain V5.38
• STM32CubeIDE v1.15.1

Supported Devices and Boards

• STEVAL-STWINBX1
• STEVAL-STWINKT1B
• STEVAL-MKBOXPRO
• STEVAL-PDETECT1
• STEVAL-C34KAT1
• STEVAL-C34KAT2
• STEVAL-C34KPM1
• B-U585I-IOT02A
• X-NUCLEO-IKS02A1 with NUCLEO-U575ZI-Q
• X-NUCLEO-IKS02A1 with NUCLEO-H7A3ZI-Q

Backward Compatibility

• None

Dependencies

• None