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.

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	273-276
Number of pages	4
Journal	Przeglad Elektrotechniczny
Volume	98
Issue number	11
DOIs	https://doi.org/10.15199/48.2022.11.56
Publication status	Published - 2022

Keywords

defect detection
photoanalysis
photogrammetry
vision systems

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.15199/48.2022.11.56

Cite this

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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",

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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

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ER -

Evaluation of photogrammetric methods for fast identification of defects

Abstract

Keywords

ASJC Scopus subject areas

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