Small-Capacity Liquid Density Detection Device Based on Computer Vision
To address the challenge of density detection for small-volume unit-labeled quantitative packaged products, a computer vision-based density detection device suitable for small-volume liquids was designed. The device integrates image processing technology with an automatic injection system and micro-volume constant-volume control technology to achieve automatic weighing and volume acquisition of volumetric flasks, thereby enabling automated density measurement of samples. Additionally, a data acquisition and processing software system was developed to minimize human reading and operational errors, improving detection efficiency and measurement accuracy. Experimental results demonstrate that the device achieves a relative expanded uncertainty of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$0.00069 \mathrm{g} / \text{cm}^3$</tex> and a measurement repeatability of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$0.0005 \text{g/cm}^{3}$</tex>, ensuring high detection precision.
Authors
- Jie Chen (ORCID: https://orcid.org/0000-0003-2449-9793)
- Bin Li (ORCID: https://orcid.org/0000-0003-1684-8869)
- Rui Liu (ORCID: https://orcid.org/0000-0002-2842-3860)
- Renda Xing
Institutions
- Shanghai University (CN)
- Shanghai Institute of Quality Inspection and Technical Research (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/icaace65325.2025.11019802
- Primary Topic
- Advanced Computing and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00