mlsanityData to 14 Oct 2026

Product Inspection Methodology via Deep Learning: An Overview

arXiv 2103.16198 ↗First posted 30 Mar 2021cs.LG cs.SY eess.SYcited by 1

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Abstract (arXiv)

In this work, we present a framework for product quality inspection based on deep learning techniques. First, we categorize several deep learning models that can be applied to product inspection systems. Also we explain entire steps for building a deep learning-based inspection system in great detail. Second, we address connection schemes that efficiently link the deep learning models to the product inspection systems. Finally, we propose an effective method that can maintain and enhance the deep learning models of the product inspection system. It has good system maintenance and stability due to the proposed methods. All the proposed methods are integrated in a unified framework and we provide detailed explanations of each proposed method. In order to verify the effectiveness of the proposed system, we compared and analyzed the performance of methods in various test scenarios.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 16 of its 57 references that are in the map. First posted on arXiv 30 Mar 2021.

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16 of 57 references.

References · 16

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4 more
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