Computer Vision in Chemistry: Automatic Titration

Autor/inn/en	Kosenkov, Yana; Kosenkov, Dmitri
Titel	Computer Vision in Chemistry: Automatic Titration
Quelle	In: Journal of Chemical Education, 98 (2021) 12, S.4067-4073 (7 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kosenkov, Dmitri)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0021-9584
DOI	10.1021/acs.jchemed.1c00810
Schlagwörter	Undergraduate Students; Chemistry; Computer Uses in Education; Science Experiments; Educational Technology; Science Laboratories; Laboratory Training; Synchronous Communication; Asynchronous Communication; Distance Education; COVID-19; Pandemics; Automation; Laboratory Procedures; Open Source Technology; Computer Software + Suchen Sie Ihr Suchwort? Chemie; Computernutzung; Unterrichtsmedien; Laborkunde; Distance study; Distance learning; Fernunterricht; Laboruntersuchung
Abstract	A novel technology that employs computer vision (CV) to carry out an automatic titration experiment is presented. The experiment is designed to facilitate understanding of the basics of the CV technology and its application in chemistry among undergraduate students. The standard chemical procedure of titration has been chosen, since it is well-known to students who completed general chemistry or similar foundation chemistry courses. A significant advantage of CV-based automation is the use of open-source software and readily available electronic devices, as no expensive specialized equipment or proprietary software is required. The experiment can be performed remotely, either live online or with prerecorded videos. The reported technology is accessible to virtually any educational institution as well as to individuals. The proposed technology provides affordable and safe means for remote execution of titration experiments for students with disabilities. Therefore, the proposed experiment is suitable for traditional laboratory instruction as well as remote synchronous or asynchronous course delivery which gained practical importance during the COVID-19 pandemic. Finally, the proposed CV-based automation opens a new realm of opportunities for rethinking traditional chemistry procedures where computer vision is used to improve performance of standard laboratory instruments and techniques. (As Provided).
Anmerkungen	Division of Chemical Education, Inc. and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01