The Development of Low Cost Turbidimeter using Smartphone Camera and Image Processing
Siti Nor Asyiqin Ramli1, Khairunnisa Kadaruddin2, Mohamad Faiz Zainuddin3, Zulkifly Abbas4

1Siti Nor Asyiqin Ramli, Department of Environmental Sciences, Faculty of Environmental Studies, University Putra Malaysia, Serdang, Selangor, Malaysia.

2Khairunnisa Kadaruddin, Department of Environmental Sciences, Faculty of Environmental Studies, University Putra Malaysia, Serdang, Selangor, Malaysia.

3Mohamad Faiz Zainuddin, Department of Environmental Sciences, Faculty of Environmental Studies, University Putra Malaysia, Serdang, Selangor, Malaysia.

4Zulkifly Abbas, Department of Physics, Faculty of Science, University Putra Malaysia, Serdang, Selangor, Malaysia.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript Published on 19 June 2019 | PP: 420-424 | Volume-8 Issue-8S June 2019 | Retrieval Number: H10720688S19/19©BEIESP

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, the design fabrication and development of a low-cost turbidimeter with a smartphone camera and image processing are demonstrated. The turbidimeter serves as a simple and low cost alternative to professional standard turbidimeters as well as other proposed turbidimeters presented in other studies. This turbidimeter is made from affordable and widely available materials and electronic components. The proposed turbidimeter was tested and able to determine the turbidity of Formazine samples between 0 and 100 NTU with the coefficient of determination R2 = 0.982. The overall cost of this turbidimeter is only USD4.35, which is well below the cost of other proposed turbidimeters.

Keywords: Turbidity, Water Quality, Smartphone, Greyscale, Image Processing.
Scope of the Article: Signal and Image Processing