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Molnsystem för automatisk blankettinmatning: Blankettutformning & databearbetning
Karlstad University, Faculty of Health, Science and Technology (starting 2013).
Karlstad University, Faculty of Health, Science and Technology (starting 2013).
2018 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Automatic data entry utilizing the cloud : Form design & data processing (English)
Abstract [sv]

Denna tekniska rapport beskriver ett projekt med syftet att utveckla ett molnbaserat system vars uppgift är att digitalisera maskin- och handskriven text från inskannade blanketter med hjälp av Microsofts kognitiva tjänster. Det färdiga systemet var avsett att vara av tillräckligt god kvalitet för att tolka både maskin- och handskrivna blanketter samt extrahera nyckelvärden från dessa. Projektet resulterade i ett något fragmenterad system som består av en databas, en webbapplikation samt tre Azure-specifika resurser: ett Blob Storage, en Logic App och en Function App. Det anfördes i projektets ursprungliga specifikation att systemet skulle utvecklas med endast molnbaserade komponenter. På grund av tidsbegränsningar uppfylldes aldrig detta krav till fullo. Trots det faktum att inte alla komponenter är molnbaserade är systemet fortfarande fullt fungerande i den meningen att det kan tolka maskin- och handskrivna blanketter samt extrahera nyckelvärden från dessa.  De blanketter som användes utvecklades vid sidan av systemet och deras primära syfte är att inte påföra systemet några begränsningar medan de fortfarande är lättförståeliga av dess användare.

Abstract [en]

This technical report describes a project aimed at developing a cloud based system whose task it is to digitize hand and machine written text in forms using Microsoft’s Cognitive Services. The resulting system was intended to be of sufficient quality to interpret both machine and handwritten forms as well as extracting key values from them. The project resulted in a somewhat fragmented system which consists of a database, a web application, and three Azure specific resources: Blob Storage, Logic App, and Function App.  It was stated in the project’s original specification that the system should be developed entirely using cloud-based components. Due to time constraints this requirement was never fully met. Despite the fact that not all components are cloudbased, the system is still fully functional in the sense that it is able to interpret machine- and handwritten text, as well as extracting key values. The forms used were developed alongside the system and their primary purpose is to not impose any constraints on the system whilst still being easily understandable by its users.

Place, publisher, year, edition, pages
2018. , p. 63
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kau:diva-67722OAI: oai:DiVA.org:kau-67722DiVA, id: diva2:1219482
External cooperation
Sogeti Sverige AB
Subject / course
Computer Science
Educational program
Study Programme in IT design, 180 hp
Supervisors
Examiners
Available from: 2018-06-19 Created: 2018-06-15 Last updated: 2018-06-19Bibliographically approved

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fulltext(2531 kB)1 downloads
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863e66650619af42d0c49aadf60fdda03e7c9fd8ccb1bd927a71357126a3a9e04d5c93d3b8f5f17f14b74219466986aaa8c220c6f2f7bfeb16594e952e67bbeb
Type fulltextMimetype application/pdf

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CiteExportLink to record
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