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Real-Time Detection of Droplet Velocity Using Open-Source Computer Vision on EWOD Device

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Fluid Mechanics and Fluid Power

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Electrowetting on dielectric (EWOD) evolved as a new promising fluid handling technology in digital microfluidics (DMF) field. It involves the generation and manipulation of droplet volumes inside microdevices. The monitoring of droplet velocity and its dependence on the applied voltage is an important parameter in this study. In this paper, open EWOD-based device is presented. The array of square electrodes with different electrode size is realized. Biocompatible polydimethylsiloxane (PDMS) is used both as dielectric and a hydrophobic material. The device is tested by using homemade developed droplet controlling system. The droplet motion is successfully performed on a device. The real-time velocity of the droplet as a function of applied voltages and different electrode sizes is obtained. The droplet velocity calculation is done by simple and precise image acquisition-based technique using open-source computer vision (OpenCV) tool. The speed of droplet for 2 × 2 mm square electrode at 350 VDC with 80 µm electrode gap is 9.75 mm/s.

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Acknowledgements

We would like to thank to all CEN staff at IIT Bombay for their constant support for improvement in EWOD device fabrication under INUP program.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, 208016, India

    Vandana Jain

  2. Centre for VLSI and Nanotechnology, Visvesvaraya National Institute of Technology, Nagpur, 440010, India

    Rajendra M Patrikar

Authors
  1. Vandana Jain
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  2. Rajendra M Patrikar
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Corresponding author

Correspondence to Vandana Jain .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India

    T. Prabu

  2. Department of Mechanical Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India

    P. Viswanathan

  3. Department of Mechanical Engineering, Indian Institute of Technology (IIT) Bombay, Mumbai, Maharashtra, India

    Amit Agrawal

  4. Department of Mechanical Engineering, S. V. National Institute of Technology Surat, Surat, Gujarat, India

    Jyotirmay Banerjee

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Jain, V., Patrikar, R.M. (2021). Real-Time Detection of Droplet Velocity Using Open-Source Computer Vision on EWOD Device. In: Prabu, T., Viswanathan, P., Agrawal, A., Banerjee, J. (eds) Fluid Mechanics and Fluid Power. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-0698-4_50

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  • DOI: https://doi.org/10.1007/978-981-16-0698-4_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0697-7

  • Online ISBN: 978-981-16-0698-4

  • eBook Packages: EngineeringEngineering (R0)

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