Investigation of AI Algorithms for Photometric Online Analysis in a Draft Tube Baffle Crystallizer

Investigation of AI Algorithms for Photometric Online Analysis in a Draft Tube Baffle Crystallizer

The rapid advancement of AI algorithms presents new opportunities for sensing technologies based on image recognition, such as real-time crystallization monitoring. This work investigates the use of computer vision to detect and size crystals in a lab scale draft tube baffle crystallizer (DTBC). A s...

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Bibliographic Details
Main Authors: Laura Marsollek, Julius Lamprecht, Norbert Kockmann
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Crystals
Subjects:
crystallization
computer vision
YOLO
analytics
lab scale equipment
DTBC
Online Access:https://www.mdpi.com/2073-4352/14/12/1045
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