Evaluation of photogrammetric methods for fast identification of defects

Tomasz Kraszewski; Radosław Sokół; Artur Pasierbek; Marcin Połomski; Anna Piwowar

doi:10.15199/48.2022.11.56

Evaluation of photogrammetric methods for fast identification of defects

Tomasz Kraszewski
, Radosław Sokół
, Artur Pasierbek
, Marcin Połomski
, Anna Piwowar

Centrum Badawczo - Rozwojowe GLOKOR Sp. z o.o.

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

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Abstrakt

The article is a part of research related to developing a line which automatically identifies defects of workpieces together with technology of their elimination with the aid of stream abrasive treatment at automated stations in industrial conditions. The work evaluated photogrammetric method for fast defect detection. The research included prepared sets of photos and generated 3D model images of the reference object and selected research results were presented.

Język oryginału	angielski
Strony (od–do)	273-276
Liczba stron	4
Czasopismo	Przeglad Elektrotechniczny
Tom	98
Numer wydania	11
Identyfikatory DOI	https://doi.org/10.15199/48.2022.11.56
Status publikacji	Opublikowano - 2022

Obszary tematyczne ASJC Scopus

Inżynieria elektryczna i elektroniczna

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10.15199/48.2022.11.56

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title = "Evaluation of photogrammetric methods for fast identification of defects",

abstract = "The article is a part of research related to developing a line which automatically identifies defects of workpieces together with technology of their elimination with the aid of stream abrasive treatment at automated stations in industrial conditions. The work evaluated photogrammetric method for fast defect detection. The research included prepared sets of photos and generated 3D model images of the reference object and selected research results were presented.",

keywords = "defect detection, photoanalysis, photogrammetry, vision systems",

author = "Tomasz Kraszewski and Rados{\l}aw Sok{\'o}{\l} and Artur Pasierbek and Marcin Po{\l}omski and Anna Piwowar",

year = "2022",

doi = "10.15199/48.2022.11.56",

language = "English",

volume = "98",

pages = "273--276",

journal = "Przeglad Elektrotechniczny",

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number = "11",

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TY - JOUR

T1 - Evaluation of photogrammetric methods for fast identification of defects

AU - Kraszewski, Tomasz

AU - Sokół, Radosław

AU - Pasierbek, Artur

AU - Połomski, Marcin

AU - Piwowar, Anna

PY - 2022

Y1 - 2022

N2 - The article is a part of research related to developing a line which automatically identifies defects of workpieces together with technology of their elimination with the aid of stream abrasive treatment at automated stations in industrial conditions. The work evaluated photogrammetric method for fast defect detection. The research included prepared sets of photos and generated 3D model images of the reference object and selected research results were presented.

AB - The article is a part of research related to developing a line which automatically identifies defects of workpieces together with technology of their elimination with the aid of stream abrasive treatment at automated stations in industrial conditions. The work evaluated photogrammetric method for fast defect detection. The research included prepared sets of photos and generated 3D model images of the reference object and selected research results were presented.

KW - defect detection

KW - photoanalysis

KW - photogrammetry

KW - vision systems

UR - https://www.scopus.com/pages/publications/85141348558

U2 - 10.15199/48.2022.11.56

DO - 10.15199/48.2022.11.56

M3 - Article

AN - SCOPUS:85141348558

SN - 0033-2097

VL - 98

SP - 273

EP - 276

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 11

ER -

Evaluation of photogrammetric methods for fast identification of defects

Abstrakt

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