Deep Learning-Based System for Quality Control of Coatings in Recess Punch Manufacturing

Balint Newton Turcsanyi; Faisal Saeed; Emmett Cooper

doi:10.1007/978-3-031-36258-3_52

Deep Learning-Based System for Quality Control of Coatings in Recess Punch Manufacturing

Balint Newton Turcsanyi^*, Faisal Saeed, Emmett Cooper

^*Corresponding author for this work

Birmingham City University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	585-594
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-031-36258-3_52
Publication status	Published (VoR) - 2023

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	179
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Keywords

Computer Vision
Neural Network
Quality Control
Recess Punch Manufacturing

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10.1007/978-3-031-36258-3_52

Cite this

Turcsanyi, B. N., Saeed, F., & Cooper, E. (2023). Deep Learning-Based System for Quality Control of Coatings in Recess Punch Manufacturing. In Lecture Notes on Data Engineering and Communications Technologies (pp. 585-594). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 179). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36258-3_52

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title = "Deep Learning-Based System for Quality Control of Coatings in Recess Punch Manufacturing",

keywords = "Computer Vision, Neural Network, Quality Control, Recess Punch Manufacturing",

author = "Turcsanyi, {Balint Newton} and Faisal Saeed and Emmett Cooper",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

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language = "English",

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Turcsanyi, BN, Saeed, F & Cooper, E 2023, Deep Learning-Based System for Quality Control of Coatings in Recess Punch Manufacturing. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 179, Springer Science and Business Media Deutschland GmbH, pp. 585-594. https://doi.org/10.1007/978-3-031-36258-3_52

Deep Learning-Based System for Quality Control of Coatings in Recess Punch Manufacturing. / Turcsanyi, Balint Newton; Saeed, Faisal; Cooper, Emmett.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2023. p. 585-594 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 179).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Deep Learning-Based System for Quality Control of Coatings in Recess Punch Manufacturing

AU - Turcsanyi, Balint Newton

AU - Saeed, Faisal

AU - Cooper, Emmett

PY - 2023

Y1 - 2023

KW - Computer Vision

KW - Neural Network

KW - Quality Control

KW - Recess Punch Manufacturing

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EP - 594

BT - Lecture Notes on Data Engineering and Communications Technologies

PB - Springer Science and Business Media Deutschland GmbH

ER -

Deep Learning-Based System for Quality Control of Coatings in Recess Punch Manufacturing

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