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` LAUNDRIS RFID ANALYTICS Computer Science CSCE 4905/4925 IT Capstone by The Mean Green Programming Team Made possible by Professor David Keathly ABSTRACT Laundris came to UNT with a specific problem-- proving the concept of scanning RFID tags in laundry and using that information to update a database to show pertinent and value-creating information. We have taken that launchpad and created a web application to be used internally and as a proof of concept to connect an RFID scanning tool to said web application that updates a database. This information, once properly displayed and connected, can be used to forecast and create projections of future laundry needs. The algorithms behind the forecasting, projections, and data that is being displayed on the web application were created by a separate Computer Science Capstone Team that we worked in tandem with. A system like this does not exist in the current market. Its value can be shown through the projections and inventory tracking capabilities. This system will save a large portion on time and effort that is already used in laundering linens, making business more efficient. Read Ballew IN THE FUTURE Improve complexity of analytics Improve functionality of graphs in webapp Update RFID tag functionality Determine future order cost based on data Predict changes in operation cost based on data Robert Stout The system as it is currently planned will connect the RFID scanning tool to the database directly for updating several different pieces of information related to each RFID tag. The database is then used to populate graphs and charts that represent valuable data and we hope to eventually forecast linen order requirements given enough data. UNDER DEVELOPMENT Connection for RFID scanning tool and database Connection for MongoDB and Laundris web app Dynamic graphs in web application to accurately represent data from database MEET THE TEAM As a team, we were a bit under experienced but quickly decided who was best at what and learned all of the software and tools used. Most of the technologies we used, our team had no prior experience working with, so picking up so many technologies was one of our largest challenges. As a team, we also learned scope creep is a real issue for big projects and communication is incredibly important. List of Software Tools Used: Atom.io: a text editor used to create and edit webpage assets Visual Studio Code: used with VSC Live to provide code collaboration Github: inter-team collaboration tool for file management MongoDB Compass: used to query and edit database Amazon Web Services: S3 web hosting Express JS: provides endpoint communication with web application EXPERIENCE GAINED Robert Martinez Don Ward & Jamar Beall SPONSORED BY Devin Johns

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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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