Thesis Details
Počítačové vidění pro sledování 3D tisku
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.
machine learning, computer vision, 3D printing, image processing, artificial intelligence, convolution neural network, additive manufacturing
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
@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/" }