Liquid level detection and capacity calculation in spherical container based on image vision

Yan Wang; Jinyan Pang

doi:10.1117/12.3040518

10 September 2024 Liquid level detection and capacity calculation in spherical container based on image vision

Yan Wang, Jinyan Pang

Author Affiliations +

Proceedings Volume 13257, International Conference on Advanced Image Processing Technology (AIPT 2024); 132570J (2024) https://doi.org/10.1117/12.3040518
Event: International Conference on Advanced Image Processing Technology (AIPT 2024), 2024, Chongqing, China

Abstract

There are many special devices and materials in large optical instruments, among which special chemicals stored in spherical metal containers are only stored in low temperature metal containers due to their special chemical properties. In daily use, it is impossible to know the amount of material left in the container by measurement. It is filled before each use, and each filling will cause material loss. Therefore, this paper presents a method to detect liquid level and calculate the remaining capacity after processing the image generated by X-ray camera based on computer vision.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yan Wang and Jinyan Pang "Liquid level detection and capacity calculation in spherical container based on image vision", Proc. SPIE 13257, International Conference on Advanced Image Processing Technology (AIPT 2024), 132570J (10 September 2024); https://doi.org/10.1117/12.3040518

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE