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Liquid Level Detection in Standard Capacity Measures with Machine Vision
Gregor Bobovnik1, Tim Mušič1, Jože Kutin1
1Laboratory of Measurements in Process Engineering, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, SI-1000 Ljubljana, Slovenia.
Sensors (Basel, Switzerland)
|April 30, 2021
Summary
Automating liquid volume measurement using machine vision improves accuracy. A camera system with custom software provides reliable readings for capacity measures, aiding legal metrology.
Area of Science:
- Metrology
- Computer Vision
- Instrumentation
Background:
- Manual readings of capacity measures are challenging due to liquid properties and accessibility.
- Accurate volume determination is crucial for legal metrology standards.
Purpose of the Study:
- To develop and validate an automated system for reading liquid levels in capacity measures.
- To enhance the accuracy and efficiency of volume testing for liquids other than water.
Main Methods:
- A single camera machine vision system was employed, capturing images of the liquid meniscus and measuring scale.
- User-defined software in LabVIEW processed images for scale and level detection, including distortion and parallax correction.
- Automated readings were validated against manual operator measurements.
Main Results:
- The automated system demonstrated accurate liquid level detection.
- Validation confirmed the system's results align with operator measurements.
- The developed system is suitable for legal metrology applications.
Conclusions:
- The machine vision system effectively automates the reading of capacity measures.
- This technology offers a reliable and accurate solution for liquid volume testing.
- The system meets the requirements for legal metrology applications.
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