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This project offers a complete package of office automation tools which altogether can be really useful for the different users in an office premise. The project proposes an efficient management of various issues in office automation system which will smoothens the process of employee management. Our main idea is to secure the office network through proper authentication and be energy efficient by controlling the appliances by the technology called IoT. Most of the office network system contains data that must be confidential, so for proper authentication is essential, so we are using RFID tags. These tags will replace the conventional password login setup and offers more confidentiality. Each employee will be given these RFID tags and they must need that for entering to the office and also to use the network inside the office. This project also does an efficient implementation for IoT(Internet of Things) used for monitoring and controlling the office appliances via a world wide web. This system uses the portable devices as a user interface. They can communicate with home automation network through an Internet gateway, by means of low power communication protocols like Zigbee, Wi-Fi etc. This project aims at controlling appliances via internet using Wi-Fi as communication protocol and raspberry pi as server system. There will be two users for this system a admin part , and an employee part. the admin user will be given the provision for controlling these appliances in office. besides these there will be a portal for employee-admin conversation, leave application through web portal , remote download and such modules which help in employee’s comfort and moreover satisfaction.
Keywords:
RFID, Readers, Tags/Transponders, UHF, Personal Computer , Internet of Things.
Cite Article:
"Office Network Monitoring System ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 3, page no.138 - 142, March-2017, Available :http://www.ijrti.org/papers/IJRTI1703029.pdf
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000205248
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator