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

Monthly Journal for Science , Computer Science and Engineering

Volume4,March 2017,

Topic : ESPY: A Work Monitoring Solution by Facility Mapping of Smart Cities

Authors:Tejashree S. Dhengre || Rishika S. Dubey, Gopal R. Mishra,Swapnil M. Meshram

Abstract:As per the concept of Smart City to provide efficient urban mobility and affordable housing facility, a lot of construction work has begun at different geographical points to turn this concept into reality. Work monitoring of Construction Company by higher government authorities is necessary to get work done quickly, get daily updates and prevent corruption. For this work Construction Company has Site supervisors who provide weekly or monthly updates but process is manual and time consuming. Also, with lots of Construction going on, citizens face severe problems which requires immediate attention of officials. To have an easy interface between Site Supervisors and higher officials of government and also between common people and government we aim to create an Android Application named “eSPY” which will give facility to Site supervisors to daily report the work progress to authority online or offline along with necessary proofs such as geo-tagged image of work done that day, details of expenditure etc. Citizens can use the App to register complaints regarding construction work at any location causing problems. On the other end, a website will be provided to officials for receiving proper report in specific pre-determined format for saving time and quick action. Officials can view received geo-tagged image or can establish a real time video connection to quickly monitor work at various sites. For establishing the connection between Android application and website, WebRTC as technology is used which will provide easy connectivity, less data and efficient offline support.

Keywords: Android Application, Construction, Geo-tagging, WebRTC, Website, Work monitoring

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DOI: 01.1617/vol4/iss3/pid06587

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Dr. Allon Guez
Professor, Drexel University,

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

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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