Museum Automation with RFID
By increase of culture and knowledge of the people, request for visiting museums has increased and made the management of these places more complex.
Valuable things in a museum or ancient place must be maintained well and also it need to managing visitors.
To maintain things we should prevent them from theft, as well as environmental factors such as temperature, humidity, PH, chemical factors and mechanical events should be monitored. And if the conditions are damaging, appropriate alerts or reports to managers and experts should be announced.
Visitors should also be monitored, as well as visitors need to be guided and getting information in the environment. By utilizing RFID technology and short-distance network tools, technical solutions for more efficient management and more effective retention in museums can be implemented.
Keywords: Object, reader, tag, RFID, smart ticket, gate, museum, visitor, monitoring
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ABOUT THE AUTHORS
Farshid Sahba
Institute for Informatics and Automation National Academy of Science of Armenia Yerevan, Armenia
Maryam Nazaridoust
Maryam Nazaridoust was born in Tehran, Iran in 1985. She received her B.S. degree with a first class Honors in software engineering from UAST University, Islamshahr Branch, Iran, in 2009 and currently she also got her M.s. degree in IT engineering (E_Commerce) at University of Qom, Iran.She is working as a lecturer at Azad Islamic University and UAST University .She specializes in the field of Data Mining, Knowledge management and NLP.
Farshid Sahba
Institute for Informatics and Automation National Academy of Science of Armenia Yerevan, Armenia
Maryam Nazaridoust
Maryam Nazaridoust was born in Tehran, Iran in 1985. She received her B.S. degree with a first class Honors in software engineering from UAST University, Islamshahr Branch, Iran, in 2009 and currently she also got her M.s. degree in IT engineering (E_Commerce) at University of Qom, Iran.She is working as a lecturer at Azad Islamic University and UAST University .She specializes in the field of Data Mining, Knowledge management and NLP.
