Data Brief
ST High Speed Datalog: a comprehensive multi-sensor data capture and visualization toolkit
Rev 8 - May 2025
Product summary
| Product summary | |
|---|---|
| ST High Speed Datalog | FP-SNS-DATALOG2 |
| STWIN.box | STEVAL-STWINBX1 |
| Python software development kit (SDK) for data logging: complete toolkit with extensive examples for developers | STDATALOG-PYSDK |
| STWIN | STEVAL-STWINKT1B |
| SensorTile.box PRO | STEVAL-MKBOXPRO |
| Presence detection add-on for STWIN.box | STEVAL-PDETECT1 |
| Firmware runs on: | STM32U585AII6Q, STM32U575ZIT6Q, STM32H7A3ZI |
| FW development environments | - Keil - IAR Embedded Workbench |
| Other utilities | STBLESensor mobile Android/iOS app |
| Applications | Condition Monitoring /Predictive Maintenance |
Features
- High-rate (up to 6 Mbit/s) data capture software suite:
- Compatible with STDATALOG-PYSDK, ready-to-use for integration into any data science design flow
- Compatible with STBLESensor app for system setup and real-time control
- Able to configure and enable ISM330DHCX and LSM6DSV16X machine learning core unit (MLC) and ISM330IS intelligent sensor processing unit (ISPU)
- Synchronized timestamping and labeling mechanisms common to all sensors
- Generic FFT library middleware to enable frequency domain analysis for any kind of sensor through fast Fourier transform (with programmable size, overlapping, and windowing)
- AzureRTOS: ThreadX, FileX, USBX
- Easy portability across different MCU families, thanks to STM32Cube
- Firmware modular examples based on eLooM (embedded light object oriented framework for STM32) to enable code reusability at application level
- Free, user-friendly license terms
Description
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.
ST High Speed Datalog is compatible with STDATALOG-PYSDK, a data-centric design and user-friendly Python SDK, and can 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, users can configure intelligent sensor processing unit (ISPU) and machine learning core unit (MLC). See Release Notes for the complete list of sensors supported.
The FP-SNS-DATALOG2 firmware can run on STEVAL-STWINBX1, STEVAL-STWINKT1B, STEVAL-MKBOXPRO, STEVAL-AFCI1, B-U585I-IOT02A, X-NUCLEO-IKS02A1 and X-NUCLEO-IKS4A1 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, STEVAL-MKI230KA, STEVAL-MKI245KA, STEVAL-MKI246KA and SENSEVAL-SCB4XV1 add-ons for the STEVAL-STWINBX1.
It also supports STEVAL-MKI153V1, STEVAL-MKI223V1K, STEVAL-MKI229A, STEVAL-MKI234KA, STEVAL-MKI240KA, STEVAL-MKI247A and STEVAL-MKI251A add-ons for STEVAL-MKBOXPRO.
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.
The software is also available on GitHub, where the users can signal bugs and propose new ideas through [Issues] and [Pull Requests] tabs.
Revision history
| Date | Revision | Changes |
|---|---|---|
| 24-Jan-2023 | 1 | Initial release. |
| 01-Mar-2023 | 2 | Updated Description. |
| 03-Apr-2023 | 3 | Updated Title, Features and Description in cover page. Updated Product summary. |
| 19-Jun-2023 | 4 | Updated cover image, description and product summary. |
| 20-Sep-2023 | 5 | Updated cover image, product summary and description in cover page. |
| 07-Mar-2024 | 6 | Updated Product summary in cover page and Description. |
| 01-Jul-2024 | 7 | Updated Title, Cover image, Product summary and Description. |
| 15-May-2025 | 8 | Updated Features, Product summary and Description. |
List of tables
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