An approach for increasing the throughput of a CNN-based industrial quality inspections system with constrained devices-Reference-Cited by-同舟云学术

An approach for increasing the throughput of a CNN-based industrial quality inspections system with constrained devices

Published:2022-02-24 Issue: Volume: Page:
ISSN:
Container-title:2022 11th International Conference on Software and Computer Applications
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Author:

Hartner Raphael¹,Komar Joachim¹,Mezhuyev Vitaliy¹

Affiliation:

1. Institute of Industrial Management, University of Applied Sciences FH JOANNEUM, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524304.3524330

Reference16 articles.

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2. A probabilistic model to estimate visual inspection error for metalcastings given different training and judgment types, environmental and human factors, and percent of defects;M. M.;J. Manuf. Syst.,2017

3. Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

4. Automated Visual Defect Classification for Flat Steel Surface: A Survey

5. Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks

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