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Deep Learning-Based Toolkit Inspection: Object Detection and Segmentation in Assembly Lines

Year: 2025

Type: article

Abstract: Modern manufacturing processes have become more reliant on automation because of the accelerated transition from Industry 3.0 to Industry 4.0. Manual inspection of products on assembly lines remains inefficient, prone to erro... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.069646

Authors: Arvind Mukundan, Riya Karmakar, Devansh Gupta, Hsiang-Chen Wang

Institutions: National Chung Cheng University, Thapar Institute of Engineering & Technology

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4415501862

FWCI: 1.038

Cites:

Cited by: 2

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