Detecting anomalies from liquid transfer videos in automated laboratory setting

In this work, we address the problem of detecting anomalies in a certain laboratory automation setting. At first, we collect video images of liquid transfer in automated laboratory experiments. We mimic the real-world challenges of developing an anomaly detection model by considering two points. Fir...

Full description

Bibliographic Details
Main Authors: Najibul Haque Sarker, Zaber Abdul Hakim, Ali Dabouei, Mostofa Rafid Uddin, Zachary Freyberg, Andy MacWilliams, Joshua Kangas, Min Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Molecular Biosciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2023.1147514/full

Similar Items