Thesis Details

Nástroj pro rozpoznání a kontrolu objednávek spedice

Bachelor's Thesis Student: Kalivoda Vojtěch Academic Year: 2020/2021 Supervisor: Herout Adam, prof. Ing., Ph.D.
English title
A Tool for Recognition and Verification of Spedition Orders
Language
Czech
Abstract

The aim of this work is to design and implement a web tool that will facilitate the work of dispatchers of forwarding and transport companies through automated recognition of important information in orders. Thanks to the recognition, not all information has to be manually rewritten by dispatchers, which saves time. Order recognition is based on finding entities in a document, representing its surroundings with vectors using word2vec models and subsequent classification using convolutional neural networks. The tool can recognize 20 types of information in real time with an average success rate of 72.35~\%. As part of the work, a dataset of almost 1~700 orders was collected and 141 of them were annotated. Part of the work is a web application that serves as an interface for the tool and data collection.

Keywords

document processing, order recognition, information extraction, word2vec, convolutional neural networks, web application

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
16 June 2021
Reviewer
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Citation
KALIVODA, Vojtěch. Nástroj pro rozpoznání a kontrolu objednávek spedice. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-16. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/23504/
BibTeX
@bachelorsthesis{FITBT23504,
    author = "Vojt\v{e}ch Kalivoda",
    type = "Bachelor's thesis",
    title = "N\'{a}stroj pro rozpozn\'{a}n\'{i} a kontrolu objedn\'{a}vek spedice",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23504/"
}
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