Improvement of Computer Recognition of Foam Layer Criteria

Foam bed flotation processes are common in the poly metallic, potash and food industries. A worker who visually assesses the condition of the foam bed controls the process. This reduces process control and product quality because of the human factor. Using computer vision is based on bubble boundary...

Full description

Saved in:

Bibliographic Details
Published in:	2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS) pp. 284 - 286
Main Authors:	Zatonskiy, Andrey V., Bazhenov, Ruslan I., Orozobekova, Aida K., Beknazarova, Saida S., Gorbunova, Tatiana N., Ledovskikh, Irina A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26-09-2022
Subjects:	anti-glare Computer vision control flotation Food industry glare Human factors Lighting Process control Product design Quality assessment recognition
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Foam bed flotation processes are common in the poly metallic, potash and food industries. A worker who visually assesses the condition of the foam bed controls the process. This reduces process control and product quality because of the human factor. Using computer vision is based on bubble boundary recognition to control due to poor lighting, low foam contrast, and splash back. Recognition is possible by analyzing the glare from the foam surface. We attempt to improve recognition by accounting for the dark antiglare that takes place due to the bubble deformation. It improved recognition and reduced the noise of the method to a few percents.
DOI:	10.1109/ITQMIS56172.2022.9976636