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Page 1: LAUNDRIS RFID ANALYTICS...LAUNDRIS RFID ANALYTICS Computer Science CSCE 4905/4925 IT Capstone by The Mean Green Programming Team Made possible by Professor David Keathly ABSTRACT Laundris

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LAUNDRIS RFID ANALYTICSComputer Science CSCE 4905/4925 IT Capstone

by The Mean Green Programming Team

Made possible by Professor David Keathly

ABSTRACTLaundris came to UNT with a specific problem--proving the concept of scanning RFID tags inlaundry and using that information to update adatabase to show pertinent and value-creatinginformation. We have taken that launchpad andcreated a web application to be used internally andas a proof of concept to connect an RFID scanningtool to said web application that updates a database.

This information, once properly displayed andconnected, can be used to forecast and createprojections of future laundry needs. The algorithmsbehind the forecasting, projections, and data that isbeing displayed on the web application werecreated by a separate Computer Science CapstoneTeam that we worked in tandem with.

A system like this does not exist in the currentmarket. Its value can be shown through theprojections and inventory tracking capabilities. Thissystem will save a large portion on time and effortthat is already used in laundering linens, makingbusiness more efficient.

Read Ballew

IN THE FUTURE❖ Improvecomplexityofanalytics

❖ Improvefunctionalityofgraphsinwebapp

❖UpdateRFIDtagfunctionality

❖Determinefutureordercostbasedondata

❖Predictchangesinoperationcostbasedondata

Robert StoutDevin Johns

The system as it is currently planned willconnect the RFID scanning tool to thedatabase directly for updating severaldifferent pieces of information related toeach RFID tag.

The database is then used to populategraphs and charts that represent valuabledata and we hope to eventually forecastlinen order requirements given enoughdata.

UNDER DEVELOPMENT❖ConnectionforRFIDscanningtoolanddatabase

❖ConnectionforMongoDBandLaundriswebapp

❖Dynamicgraphsinwebapplicationtoaccurately

representdatafromdatabase

MEET THE TEAM

Asateam,wewereabitunderexperiencedbutquicklydecidedwhowasbestatwhatandlearnedallofthesoftwareandtoolsused.Mostofthetechnologiesweused,ourteamhadnopriorexperienceworkingwith,sopickingupsomanytechnologieswasoneofourlargestchallenges.Asateam,wealsolearnedscopecreepisarealissueforbigprojectsandcommunicationisincrediblyimportant.

ListofSoftwareToolsUsed:

❖Atom.io:atexteditorusedtocreateandeditwebpageassets

❖VisualStudioCode:usedwithVSCLivetoprovidecodecollaboration

❖Github:inter-teamcollaborationtoolforfilemanagement

❖MongoDBCompass:usedtoqueryandeditdatabase

❖AmazonWebServices:S3webhosting

❖ExpressJS:providesendpointcommunicationwithwebapplication

EXPERIENCE GAINED

Robert Martinez

Don Ward & Jamar Beall

SPONSORED BY

Devin Johns

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