Application and integration of computer vision technologies for automated recognition and recording of chemical experiments

Ryosuke Sasaki, Mikito Fujinami, Hiromi Nakai*

*この研究の対応する著者

研究成果: Article査読

抄録

Advancements in computer vision have significantly improved motion and object recognition accuracy. These advancements should aid the automatic recognition of chemical experiments, potentially contributing to the recording of experiments. Creating an electronic laboratory notebook from experiment filming enhances convenience and allows more detailed information storage compared to traditional manual recording methods. Our previous research focused on employing object detection and action recognition to automate the recognition of chemical experiments. This paper presents a novel system that combines object detection, action recognition, multiple object tracking, and barcode recognition to automatically generate experimental flowcharts. We implemented our system as a graphical user interface-based application for laboratory use that successfully constructs flowcharts from videos of chemical experiments, including simple chemical manipulations.

本文言語English
論文番号uoae110
ジャーナルBulletin of the Chemical Society of Japan
97
11
DOI
出版ステータスPublished - 2024 11月

ASJC Scopus subject areas

  • 化学一般

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