Measurement of Liquid Level Using Prediction Methodology

  • Conference paper
  • First Online:
Information, Communication and Computing Technology (ICICCT 2021)

Abstract

There are various applications in which it is required to measure level of liquid like chemical industry, food industry, medical tests etc. The methods for level measurement are also varies in every place. In this paper, work is done on video-based level measurement for scientific purpose where it requires accuracy in millimeter range. The camera for video capturing is placed at some distance and by image processing the level of liquid can be detected. Also, the time required to detect level is also a significant parameter over here because it has to read level in real time and it is changing continuous during calibration(experiment), so just after change in level, the system has to report that change. Here the level and volume are measured using image processing and for getting accuracy, curve fitting and machine algorithm is applied. With this, it achieves accuracy up to 98% in both measurements.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Wang, T.H., Lu, M.C., Hsu, C.C., Chen, C.C., Tan, J.D.: Liquid-level measurement using a single digital camera. Measurement 42(4), 604–610 (2009)

    Article  Google Scholar 

  2. Chakravarthy, S., Sharma, R., Kasturi, R.: Noncontact level sensing technique using computer vision. Instrum. Measur. IEEE Trans. 51(2), 353–361 (2002)

    Article  Google Scholar 

  3. Gonzalez Ramirez, M.M., Villamizar Rincon, J.C., Lopez Parada, J.F.: Liquid level control of Coca-Cola bottles using an automated system. In: 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP 2014), pp 148–154. IEEE (2014)

    Google Scholar 

  4. Shah, V., Bhatt, K.: Image processing based bottle filling and label checking using embedded system. Int. J. Innov. Res. Comput. Commun. Eng. 4(5), 1–15 (2016)

    Google Scholar 

  5. Santhosh, K.V., Joy, B., Rao, S.: Design of an instrument for liquid level measurement and concentration analysis using Multisensor data fusion. J. Sensors 2020, 1–13 (2020). https://doi.org/10.1155/2020/4259509

    Article  Google Scholar 

  6. Majdalani, S., Chazarin, J.-P., Moussa, R.: A new water level measurement method combining infrared sensors and floats for applications on laboratory scale channel under unsteady flow regime. Sensors 19, 1511 (2019). https://doi.org/10.3390/s19071511,MDPI

    Article  Google Scholar 

  7. Bin, S., Zhang, C., Li, L., Wang, J.: Research on water level measurement based on image recognition for industrial boiler. In: 2014 26th Chinese Control and Decision Conference (CCDC) (2014)

    Google Scholar 

  8. Guo, J.C., Zhang, H.S.: Liquid level detection based on digital image processing. Tian** University Electronic Information Engineering Institute (2010)

    Google Scholar 

  9. Eppela, S., Kachmanb, T.: Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications (2014). ar**v preprint: ar**v:1404.7174

  10. Liu, X., Bamberg, S.J.M., Bamberg, E.: Increasing the accuracy of level-based volume detection of medical liquids in test tubes by including the optical effect of the meniscus. Measurement 44(4), 750–761 (2011)

    Article  Google Scholar 

  11. Samann, F.E.: Real-time liquid level and color detection system using image processing. Acad. J. Nawroz Univ. 7(4), 223 (2018). https://doi.org/10.25007/ajnu.v7n4a293

    Article  Google Scholar 

  12. Zhang, Z., Zhou, Y., Liu, H., Gao, H.: In-situ water level measurement using NIR-imaging video camera. Flow Measur. Instrum. 67, 95–106 (2019)

    Article  Google Scholar 

  13. Chandel, R., Gupta, G.: Image filtering algorithms and techniques: a review. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3(10), 198–202 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nagrare, T. (2021). Measurement of Liquid Level Using Prediction Methodology. In: Bhattacharya, M., Kharb, L., Chahal, D. (eds) Information, Communication and Computing Technology. ICICCT 2021. Communications in Computer and Information Science, vol 1417. Springer, Cham. https://doi.org/10.1007/978-3-030-88378-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-88378-2_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88377-5

  • Online ISBN: 978-3-030-88378-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation