Vision-based Liquid Level Detection in Amber Glass Bottles using OpenCV

2019 ◽  
Author(s):  
Mikhael Anthony A. Felipe ◽  
Tanya V. Olegario ◽  
Nilo T. Bugtai ◽  
Renann G. Baldovino
Keyword(s):  
Liquid Level ◽  
Glass Bottles ◽  
Liquid Level Detection

The Hardware Design and Implementation of Liquid Level Detection System for Lead-Acid Battery

2013 ◽  
Vol 860-863 ◽  
pp. 2850-2854 ◽  
Author(s):  
Ya Jun Bi ◽  
Hong Fei Li
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Liquid Level ◽  
Lead Acid Battery ◽  
Infrared Transmission ◽  
Wireless Data ◽  
Linear Ccd ◽  
Infrared Technology ◽  
Liquid Level Detection ◽  
Lead Acid

The hardware structure of a liquid level detection system for lead-acid battery was briefly introduced. The system adopts AT89C51 MCU as host module, combined with display storage, extended storage and the watch dog technology. The slave module adopts AT89C2051 MCU, which driver the linear CCD to realize non-contact measurement in acidic and corrosive conditions. The infrared transmission module uses RS-232 serial-to-infrared technology to realize wireless data delivery. The damage due to sensor corrosion could be avoided in this system. Compared with other similar equipments, this system has the advantages of simple structure, small volume, low cost, high measure precision and convenient maintenance.

scholarly journals Real-time Liquid Level and color Detection system using Image Processing

2018 ◽  
Vol 7 (4) ◽  
pp. 223
Author(s):  
Fars E. Samann
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Chemical Reaction ◽  
Detection System ◽  
Chemical Study ◽  
Liquid Level ◽  
Average Accuracy ◽  
Color Detection ◽  
Liquid Level Detection

Detecting the level of the liquid is very essential for any chemical study in research labs. The objective of this paper is to design real-time liquid level detection system using image processing. Besides, this system is able to indicate the color of the liquid during chemical reaction. The proposed system was developed using vision assistant tools in LabVIEW and webcam. Regarding to webcam resolution, the average accuracy of the system is approximately 99%.

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