Smart Cable Air and Smart Cable Water videos

These videos are supporting multimedia material for the publication "An ASIC-based system-in-package MEMS gas sensor with impedance spectroscopy readout and AI-enabled identification capabilities"by CNR-IMM Bologna, Univerisity of Pisa and Sensichips. The first video ("V01_main_SCA_PI...

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Bibliographische Detailangaben
1. Verfasser: Zampolli, Stefano
Format: Video
Sprache:eng
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Zusammenfassung:These videos are supporting multimedia material for the publication "An ASIC-based system-in-package MEMS gas sensor with impedance spectroscopy readout and AI-enabled identification capabilities"by CNR-IMM Bologna, Univerisity of Pisa and Sensichips. The first video ("V01_main_SCA_PIP.mp4") shows the main experimental result of the Smart Cable Air (SCA) device, challenged for chemical recognition of vapours from a set of liquid samples. The experiment is described with more detail in the publication. The second video ("V02_SLM-Studio_wizard_full.mp4") shows a complete acquisition, training and test sequence on a SCA device using the SLM-Studio wizard. Note: the video is accelerated (data acquisition: 4x; model generation: 2x; test data: 2x on pre-acquired data). The third video ("V03_SCW_sewage_field.mp4") shows in-field tests of the related Smart Cable Water (SCW) device, which uses the same SENSIPLUS IC as the SCA but used for electrochemical impedance spectroscopic analyses of sewage water spiked with a set of relevant chemicals. Note: the video is accelerated. The fourth video ("V04_SCA_on_drones.mp4") shows the small and lightweight SCA device mounted on small aerial drones and proposed for airborne chemical analyses. Note: the video is accelerated.
DOI:10.5281/zenodo.10911811