Work

Deep learning-based defect detection of metal parts: evaluating current methods in complex conditions

Year: 2021

Type: conference-paper

Source: International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

DOI: 10.1109/icumt54235.2021.9631567

Authors: Stepan Jezek, Martin Jonak, Radim Burget, Pavel Dvorak, Milos Skotak

Institution: Brno University of Technology

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Technology Agency of the Czech Republic

Award: Defectoscopy of painted parts using automatic adaptation of neural networks

OpenAlex ID: W4200434100

FWCI: 16.56

Cites: 33

Cited by: 202

Related to: 10