How this project contributes to advance open technologies and open solutions
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Last update: 17-07-2024
Development Status & Update History
The proposed Smart Open hardware electronics for Data Acquisition uses a UDFID based on Micah Altman's [13] UNF algorithm and adds minimum hardware electronics requirements for creating new data records after each collection of measurements from external sensors connected followed by validation of its origins. This is an important and urgent need not only in science but also in businesses that allow full traceback to where data records and datasets were created. To expedite the deployment of this type of data origins validation, this proposed project made available this month of July, some of the EDA design files for a module with built-in "Unique Data Fingerprint Identification" UDFID using Espressif Systems ESP32-C3 microcontroller, a module to expedite and facilitate the design and deployment of smart hardware electronics capable of delivering validated sensor data that can be used for publishing on higher-ranked sci. journals and also for usage in cases of legal dispute. This module is only 26x19mm and it can be soldered into an existing PCB as any other component. It has available for use all GPIO pins the original ESP32 C3 MCU offers. Anyone can download the Footprint and Symbol for KiCad EDA in the folder "KiCad Footprints & Symbols" of the repository of this project.
3D rendering in KiCad EDA of the Module with UDFID
References
[13] Altman, M. (2008). A Fingerprint Method for Scientific Data Verification. In: Sobh, T. (eds) Advances in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8741-7_57
🟢 Fully tested and working
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💯 Fully tested & working, no improvements necessary - already being sold online
🆓 Fully Open hardware \ source code
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⚡️ fully tested and working, however, it is a dangerous solution to deploy
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