Development of low-cost vision-based falling sphere viscometer

Riady Siswoyo Jo; Hudyjaya Siswoyo Jo; Almon Chai

doi:10.1109/ICSIPA.2017.8120621

Development of low-cost vision-based falling sphere viscometer

Riady Siswoyo Jo, Hudyjaya Siswoyo Jo, Almon Chai

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Falling sphere viscometer is one of the most commonly used techniques in experimentally determining fluid viscosity. This method requires the measurement of the terminal velocity of a falling sphere inside the fluid, which remains a challenging and costly task, especially if high precision is required. This paper presents the development of a low-cost visionbased falling sphere viscometer. The velocity measurement is performed by incorporating two linear image sensors which allow faster frame rate. A specific object detection algorithm based on background subtraction is developed to analyze the image data in real-Time. The experimental setup and implementation are also presented.

Original language	English
Title of host publication	2017 IEEE International Conference on Signal and Image Processing Applications
Publisher	IEEE
Pages	279-283
Number of pages	5
ISBN (Electronic)	9781509055593
DOIs	https://doi.org/10.1109/ICSIPA.2017.8120621
Publication status	Published - 30 Nov 2017
Event	5th IEEE International Conference on Signal and Image Processing Applications 2017 - Kuching, Sarawak, Malaysia Duration: 12 Sept 2017 → 14 Sept 2017

Conference

Conference	5th IEEE International Conference on Signal and Image Processing Applications 2017
Abbreviated title	ICSIPA 2017
Country/Territory	Malaysia
City	Kuching, Sarawak
Period	12/09/17 → 14/09/17

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/ICSIPA.2017.8120621

Cite this

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title = "Development of low-cost vision-based falling sphere viscometer",

abstract = "Falling sphere viscometer is one of the most commonly used techniques in experimentally determining fluid viscosity. This method requires the measurement of the terminal velocity of a falling sphere inside the fluid, which remains a challenging and costly task, especially if high precision is required. This paper presents the development of a low-cost visionbased falling sphere viscometer. The velocity measurement is performed by incorporating two linear image sensors which allow faster frame rate. A specific object detection algorithm based on background subtraction is developed to analyze the image data in real-Time. The experimental setup and implementation are also presented.",

author = "Jo, {Riady Siswoyo} and Jo, {Hudyjaya Siswoyo} and Almon Chai",

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year = "2017",

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AU - Jo, Hudyjaya Siswoyo

AU - Chai, Almon

PY - 2017/11/30

Y1 - 2017/11/30

N2 - Falling sphere viscometer is one of the most commonly used techniques in experimentally determining fluid viscosity. This method requires the measurement of the terminal velocity of a falling sphere inside the fluid, which remains a challenging and costly task, especially if high precision is required. This paper presents the development of a low-cost visionbased falling sphere viscometer. The velocity measurement is performed by incorporating two linear image sensors which allow faster frame rate. A specific object detection algorithm based on background subtraction is developed to analyze the image data in real-Time. The experimental setup and implementation are also presented.

AB - Falling sphere viscometer is one of the most commonly used techniques in experimentally determining fluid viscosity. This method requires the measurement of the terminal velocity of a falling sphere inside the fluid, which remains a challenging and costly task, especially if high precision is required. This paper presents the development of a low-cost visionbased falling sphere viscometer. The velocity measurement is performed by incorporating two linear image sensors which allow faster frame rate. A specific object detection algorithm based on background subtraction is developed to analyze the image data in real-Time. The experimental setup and implementation are also presented.

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M3 - Conference contribution

AN - SCOPUS:85041398567

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EP - 283

BT - 2017 IEEE International Conference on Signal and Image Processing Applications

PB - IEEE

T2 - 5th IEEE International Conference on Signal and Image Processing Applications 2017

Y2 - 12 September 2017 through 14 September 2017

ER -

Development of low-cost vision-based falling sphere viscometer

Abstract

Conference

ASJC Scopus subject areas

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