International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,June 2017,

Topic : Detection of Impurity in Liquids Using Electronic Sensor Based System with Infrared Camera and The Real Time Monitoring of Water Qualityin IoT Environment

Authors:Sanjana U Neralkatte || Nittayashree S, Roja K R, Shilpa K, Sushma G S

Abstract:This paper is based on new enhancement technique for infrared images which integrates the benefits of additive wavelet transformation and homomorphic image processing. The main motive behind this technique is to decompose the images into subbands in an additive fashion and the principle adopted to implement the same is using additive wavelet transform which produces the image as an addition of subbands of the same resolution. Drinking water varies from place to place, depending on the condition of the source water from which it is drawn and the treatment it receives, but it must meet EPA regulation. The traditional method of testing Turbidity, PH & Temperature is to collect samples manually and then send them to laboratory for analysis. However, it has been unable to meet the demands of water quality monitoring today. So a set of Monitoring of Turbidity, PH & Temperature of Water quality has been developed. The system consists of Turbidity, PH & Temperature sensor of water quality testing, single-chip microcontroller data acquisition module, information transmission module, monitoring center and other accessories. Turbidity, PH & Temperature of water are automatically detected under the control of single chip microcontroller all day. The single chip gets the data, and then processes and analyzes them. If the water quality is abnormal, the data will be sent to monitoring center and alert the public at the same time.

Keywords: Wavelet transform, Homomorphic processing, illumination component, reflectance component, subband, pH sensor, Turbidity Sensor, Temperature Sensor

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DOI: 01.1617/vol4/iss6/pid91804


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Contact : info@ijercse.com


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