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YOLO Object Detection for Real-Time Fabric Defect Inspection in the Textile Industry: A Review of YOLOv1 to YOLOv11

Italian National Conference on Sensors
Automated fabric defect detection is crucial for improving quality control, reducing manual labor, and optimizing efficiency in the textile industry. Traditional inspection methods rely heavily on human oversight, which makes them prone to subjectivity ...
Makara Mao, Min Hong
semanticscholar   +1 more source

Automated facility inspection using robotics and BIM: A knowledge-driven approach

Advanced Engineering Informatics, 2023
Junjie Chen   +3 more
semanticscholar   +1 more source

Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review.

Journal of Agricultural and Food Chemistry
Quality inspection of fruits and vegetables linked to food safety monitoring and quality control. Traditional chemical analysis and physical measurement techniques are reliable, they are also time-consuming, costly, and susceptible to environmental and ...
Chen Yang   +6 more
semanticscholar   +1 more source

Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection

Journal of Intelligent Manufacturing, 2020
Omid Davtalab   +3 more
semanticscholar   +1 more source

Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at?

Construction and Building Materials, 2022
Cheng Zhang   +5 more
semanticscholar   +1 more source

Improving Inspection with Automation

Aerospace Testing International
The use of optical gage technology and robotic automation can reduce inspection time for surface features and defects on precision-machined parts
openaire   +1 more source

Automated vision system for magnetic particle inspection of crankshafts using convolutional neural networks

The International Journal of Advanced Manufacturing Technology, 2021
K. Tout   +3 more
semanticscholar   +1 more source

AUTOMATION INSPECTION TECHNIQUES.

2010
A description of research work on the automatic visual inspection of printed circuit boards (PCB) is presented. The goal of this research is to develop a programmable visual inspection system. The method employs pattern matching techniques.
Harlow, Charles A   +2 more
openaire   +1 more source

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