Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/40705
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dc.contributor.authorWong, Jeffrey Rong Tian.-
dc.date.accessioned2010-06-18T03:46:13Z-
dc.date.available2010-06-18T03:46:13Z-
dc.date.copyright2010en_US
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/10356/40705-
dc.description.abstractIn this wireless technologically driven era, conventional wired sensors are phasing out to wireless sensors.[1] Wireless sensors can provide convenience and have better features compared to the conventional ones. This project will feature on wireless sensor network to sense temperature and light. A particle detecting system is also implemented. The hardware employed in this project is: a wireless IRIS mote with MDA100CB sensor board and MIB520 interface board, and also a webcam. Visual C++ with OpenCV is used to implement the particles monitoring system while LabVIEW is used to display the data collected from the sensor node with some signal processing. Built in functions in OpenCV are used to detect the particles. From detecting to displaying the collected data of the particles detected, several functions were used. Detected particles will be highlighted on a window screen and data collected from the particle(s) will be logged into an easily retrievable file. Several limitations were encountered such as limited sampling rate and accuracy of measuring the size of the particles. Problems encountered during the project were discussed and possible solutions are proposed.en_US
dc.format.extent59 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineeringen_US
dc.titleWireless sensor network for smart clean room monitoringen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorXie Lihuaen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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