NDLI: Development of Biological Water Quality Monitoring Equipment Based on Machine Vision

Content Provider	IEEE Xplore Digital Library
Author	Tang Yiping You Sisi Yang Zhongyuan Jin Shunjing
Copyright Year	2006
Description	Author affiliation: Inf. Coll., Zhejiang Univ. of Technol., Hangzhou (Tang Yiping; You Sisi)
Abstract	Water quality monitoring is of great importance in water safety protection and water emergency supervision. Water quality can be reflected by aquatic creatures' ecological status, especially fish's, directly and synthetically. Therefore, aquatic creatures' ecological status can be used to monitor water quality safety. This paper presents an real-time water quality monitoring technology in which computer image processing technique, network communication technique and observation of aquatic creatures' ecological status, such as small fish's, technique are used. A machine vision based biological water quality monitoring equipment is proposed. It monitors water quality safety by observing fish's biological status. This new water quality monitoring technology overcomes the shortages of existing water quality monitoring technology, which is costly, and inapplicable to large-scale long-term and online water quality monitoring. Thus, it provides an economical and effective method for water quality monitoring, water safety protection and water emergency supervision
Starting Page	3835
Ending Page	3839
File Size	6005591
Page Count	5
File Format	PDF
ISBN	8995003847
DOI	10.1109/SICE.2006.314672
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-18
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	The Institute of Control, Automation and Systems
Subject Keyword	Condition monitoring Machine vision Computerized monitoring Safety Marine animals Protection Biology computing Computer networks Image processing Large-scale systems image processing biological water quality monitor telecommuting online detecting equipment fish's ecological status machine vision
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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