The importance of image quality in AI visual inspection systems

Abstract The use of AI for visual inspection is currently making great strides in sectors like automotive, metals and machinery manufacturing. However, those investing in the technology not only expect a system that will be superior to manual inspection, but an error rate close to zero in defect detection. Let us look at the importance of image quality and why the variability in the production environment is the single greatest challenge that AI engineers must face.

Authors

Publication Details

Journal
PhotonicsViews
Published
2024-09-01
DOI
https://doi.org/10.1002/phvs.202400027
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

The importance of image quality in AI visual inspection systems

Sagi Dolberg
PhotonicsViews
Industrial Vision Systems and Defect Detection
article

The importance of image quality in AI visual inspection systems

Sagi Dolberg
article en

Abstract

Abstract The use of AI for visual inspection is currently making great strides in sectors like automotive, metals and machinery manufacturing. However, those investing in the technology not only expect a system that will be superior to manual inspection, but an error rate close to zero in defect detection. Let us look at the importance of image quality and why the variability in the production environment is the single greatest challenge that AI engineers must face.

PhotonicsViewsVol. 21(4)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Industrial Vision Systems and Defect Detection
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The importance of image quality in AI visual inspection systems — Sagi Dolberg · PhotonicsViews (2024) | TGRS Research Map | TGRS