A Low-Cost Capacitance-based Non-Destructive Evaluation Platform for Fast Moving Consumer Goods (FMCG) Industrial Applications

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A Low-Cost Capacitance-based Non-Destructive Evaluation Platform for Fast Moving Consumer Goods (FMCG) Industrial Applications
Title:
A Low-Cost Capacitance-based Non-Destructive Evaluation Platform for Fast Moving Consumer Goods (FMCG) Industrial Applications
Journal Title:
2020 IEEE SENSORS
Keywords:
Publication Date:
09 December 2020
Citation:
Salila Vijayalal Mohan, H. K., Alexander Malcolm, A., & Cheng, F. (2020). A Low-Cost Capacitance-based Non-Destructive Evaluation Platform for Fast Moving Consumer Goods (FMCG) Industrial Applications. 2020 IEEE SENSORS. https://doi.org/10.1109/sensors47125.2020.9278671
Abstract:
Food and beverage fast-moving consumer goods (FMCG) industries produce goods at very high speed and volume to meet consumer demands of food supply. Quality assurance for such mass-produced products and brand image are interlinked. At present, some of the identified areas in FMCG that do not have established fast in-line inspection platforms include powder homogeneity detection, cleanliness monitoring, package integrity testing, seal integrity testing, product quality assessment, and waste segregation for recycling. Currently, these problems are addressed using human intervention and/or offline screening procedures, which are destructive, time-consuming, and expensive, and has low throughput. In this work, we propose and demonstrate a low cost capacitive non-destructive evaluation platform capable of addressing different issues from various sectors in FMCG industries. The proposed system demonstrated a wide range of applicability with fast detection time, high sensitivity, in-line integration capability and a small system footprint.
License type:
Publisher Copyright
Funding Info:
There was no specific funding for the research done
Description:
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN:
978-1-7281-6802-9
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