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Real Time Mixing Index Measurement of Microchannels Using OpenCV

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VLSI Design and Test (VDAT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 892))

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Abstract

One of the main figures of merit for quantification of microchannels is mixing index (MI). The main challenge is to calculate the MI in real time, which is needed for improvising the performance of microfluidic system. In this contrast, present work is demonstrated the real time MI calculation using open source computer vision (OpenV) image processing tool. The MI application (MI-App) is developed by using Qt software which provide simple and easy platform to the end user. All open source software is handled through the Raspberry Pi which makes our system low cost and portable. The approach present in this work will helpful in various bio-medical applications.

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Authors and Affiliations

  1. Visvesvaraya National Institute of Technology, Nagpur, India

    Khuushi, Vanadana Jain, Rajendra Patrikar & Raghavendra Deshmukh

Authors
  1. Khuushi
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  2. Vanadana Jain
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  3. Rajendra Patrikar
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  4. Raghavendra Deshmukh
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Corresponding author

Correspondence to Khuushi .

Editor information

Editors and Affiliations

  1. Thiagarajar College of Engineering, Madurai, India

    S. Rajaram

  2. Thiagarajar College of Engineering, Madurai, India

    N.B. Balamurugan

  3. Thiagarajar College of Engineering, Madurai, India

    D. Gracia Nirmala Rani

  4. Indian Institute of Technology Bombay, Mumbai, India

    Virendra Singh

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Khuushi, Jain, V., Patrikar, R., Deshmukh, R. (2019). Real Time Mixing Index Measurement of Microchannels Using OpenCV. In: Rajaram, S., Balamurugan, N., Gracia Nirmala Rani, D., Singh, V. (eds) VLSI Design and Test. VDAT 2018. Communications in Computer and Information Science, vol 892. Springer, Singapore. https://doi.org/10.1007/978-981-13-5950-7_24

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  • DOI: https://doi.org/10.1007/978-981-13-5950-7_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5949-1

  • Online ISBN: 978-981-13-5950-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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