Thesis Details

Počítačové vidění pro sledování 3D tisku

Bachelor's Thesis Student: Heinz Mikuláš Academic Year: 2021/2022 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Computer Vision for Monitoring of 3D Printing
Language
Czech
Abstract

This thesis deals with the automatic detection of errors that can occur during time-consuming 3D printing. It uses computer vision and artificial intelligence to achieve this. The main result is a system that uses Raspberry Pi and a connected camera to periodically record the printing process and sends the images to the user's computer for detection. On this computer, the image is analysed by a convolutional neural network model and information about found error is sent to the user via a SMTP protocol. The solution also includes a dataset with 385 images of 3D printing errors sorted by type.

Keywords

machine learning, computer vision, 3D printing, image processing, artificial intelligence, convolution neural network, additive manufacturing

Department
Degree Programme
Files
Status
defended, grade C
Date
16 June 2022
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
HEINZ, Mikuláš. Počítačové vidění pro sledování 3D tisku. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-16. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/21502/
BibTeX
@bachelorsthesis{FITBT21502,
    author = "Mikul\'{a}\v{s} Heinz",
    type = "Bachelor's thesis",
    title = "Po\v{c}\'{i}ta\v{c}ov\'{e} vid\v{e}n\'{i} pro sledov\'{a}n\'{i} 3D tisku",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21502/"
}
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