Home » ICOMS
INTRODUCTION
This commercialisation project (2022-24) seeks to further develop patented (US20210354096A1) emulsion analysis technology and establish a new spin-out company to bring it to market, novel offline (and potentially inline) soft sensor systems for characterising emulsion product quality. The technology developed to date, entitled ICOMS conducts automated feature extraction on micrograph samples in respect to emulsion droplet size/shape characteristics and predicts the product quality using Machine Learning.
HIGHLIGHTS
ICOMS technology validation to date
Published Papers
1.Feb 2021: In-process analysis of pharmaceutical emulsions using computer vision and artificial intelligence, Chemical Engineering Research and Design (Elsevier).
https://www.sciencedirect.com/science/article/pii/S0263876220305906
2.Sep 2020: An integrated histogram-based vision and machine learning classification model for industrial emulsion processing, IEEE Transactions on Industrial Informatics.
https://ieeexplore.ieee.org/document/8968624
3.April 2019: Machine learning for automated quality evaluation in pharmaceutical manufacturing of emulsions, Journal of Pharmaceutical Innovation (Springer Nature).
https://link.springer.com/article/10.1007/s12247-019-09390-8
4.Jan 2021: EI Commercial Feasibility study completed.
Funding and Acknowledgement
This commercialisation project is funded by Enterprise Ireland.