Computer Vision in Chemistry: Automatic Titration

自动化 计算机科学 异步通信 软件 技术员 滴定法 多媒体 软件工程 化学 工程类 电气工程 电信 操作系统 机械工程 无机化学
作者
Yana Kholod Kosenkov,Dmytro Kosenkov
出处
期刊:Journal of Chemical Education [American Chemical Society]
卷期号:98 (12): 4067-4073 被引量:16
标识
DOI:10.1021/acs.jchemed.1c00810
摘要

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.

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