Top Tweets for #Defectdetection
๐ข #highlycited paper
๐ย MAS-YOLO: A Lightweight Detection Algorithm for PCB Defect Detection Based on Improved YOLOv12
๐ย https://t.co/azSFrpndJO
๐จโ๐ฌ by Xupeng Yin et al.
๐ซ Nanjing University of Information Science and Technology, Nanjing 210044, China
#defectdetection #smalltargetdetection
๐ข #highlycited paper
๐ย YOLOv8-WD: Deep Learning-Based Detection of Defects in Automotive Brake Joint Laser Welds
๐ย https://t.co/UCJGscIVC6
๐จโ๐ฌ by Jiajun Ren et al.
๐ซ Shanghai University of Engineering Science, Shanghai 201620, China
#laserwelding #defectdetection
Glass bottle defects can vary, making fixed inspection rules difficult to apply.
#SolVision uses AI to:
โ
Detect irregular surface defects
โ
Segment defective regions
โ
Evaluate location, angle & size
Read more:
https://t.co/RQ4GwElAop
#IndustrialAI #DefectDetection
๐#HighlyCitedPaper!
๐ฅ๏ธAutomated Defect Identification System in Printed Circuit Boards Using Region-Based Convolutional Neural Networks
๐Read at: https://t.co/tYVSJhSB9m
#printedcircuitboards #deeplearning #DL
#RCNN #defectdetection #qualitycontrol #automatedinspection #PCB
๐ข #CallForReading | Interesting Paper
AI-Driven Crack Detection for Remanufacturing Cylinder Heads Using Deep Learning and Engineering-Informed Data Augmentation
๐By Mohammad Mohammadzadeh, et al.
๐https://t.co/H8qTat2SRT
#DefectDetection #ComputerVision #SmartRemanufacturing
๐ฃ๐ฃ๐ฃ Call for Reading
Defect Detection for Enhanced Traceability in Naval Construction
๐จโ๐ซ Paula Arcano-Bea, Josรฉ Luis Calvo-Rolle; et al.
๐ซ @UDC_gal
๐ https://t.co/z4QJNHqyXT
#DefectDetection #Shipbuilding #ConvolutionalAutoencoders #Sensors
๐ข #highlycited paper
๐ #DefectDetection in #SolidTimberPanels Using #AirCoupledUltrasonicImaging Techniques
๐ https://t.co/Tgy8kh8CRu
๐จโ๐ฌ by Xiaochuan Jiang et al.
๐ซ Nanjing Forestry University
#Barkercodedpulsecompression
๐ข #highlycited paper
๐ย YOLO-RRL: A #LightweightAlgorithm for PCB Surface #DefectDetection
๐ย https://t.co/Kzme5GuU6R
๐จโ๐ฌ by Tian Zhang et al.
๐ซ Shenyang Jianzhu University
#featurefusion #YOLOv8
๐ข #highlycited paper
๐ย DEW-YOLO: An Efficient Algorithm for #SteelSurface #DefectDetection
๐ย https://t.co/YaCXme8CLE
๐จโ๐ฌ by Junjie Li et al.
๐ซ Guilin University of Technology
#deformableconvolution #explicitvisualcenter
Automated quality control powered by AI ensures every product is inspected with precision and speed, replacing slow, subjective manual checks with continuous real-time defect detection using high-speed cameras and intelligent analysis.
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.
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#DefectDetection #ComputerVision
Catch every surface defect before it costs you thousands.
Deploy automated surface inspection and transform defect detection from a bottleneck into your competitive advantage.
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.
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#AutomotiveIndustry #DefectDetection
โจ MSAM 2025 Highlight โจ
AI-powered defect detection in metal 3D printing ๐ค
๐ Read full article: https://t.co/TaSzpnTDMn
#AdditiveManufacturing #Metal3DPrinting #AI #MachineLearning #DefectDetection #MSAM2025 #SmartManufacturing
Surface defects slowing you down?
Let VisionX handle them.
Our AI-powered 360ยฐ inspection system catches every scratch and flawโdelivering quality, uniformity, and zero rejections.
#VisionX #SurfaceInspection #FactoryAutomation #SmartManufacturing #DefectDetection #DesignTech
Precision. Perfection. Accuracy
Meet VisionX โ our AI-powered 360ยฐ Vision Inspection System with micron-level defect detection & top-tier repeatability.
Why settle for less?
#VisionInspection #AIinManufacturing #MicronAccuracy #QualityControl #DefectDetection #NextGenInspection
Brightpoint AI is excited to be part of Community Summit North America 2025, happening October 19โ23, 2025 at Gaylord Palms, Orlando, Florida.
๐ October 19โ23, 2025
๐Orlando, Florida | Booth #306
๐ https://t.co/jHmwrGzjcY
#CommunitySummitNA #AI #DefectDetection #Manufacturing
KAIST has developed a breakthrough in AI defect detection in smart factories, enabling accurate monitoring even when manufacturing conditions change.
https://t.co/z8lJAmlieL
#SmartFactories #AIDriven #DefectDetection
๐ฅ Read our Highly Cited Paper
๐ PRC-Light #YOLO: An Efficient Lightweight Model for Fabric #DefectDetection
๐ https://t.co/uZ11ndSMfH
๐จโ๐ฌ by Dr. Baobao Liu et al.
๐ซ Xiโan Polytechnic University
#YOLOv7 #lightweightnetwork #HardSwish
๐ข Freshly published!
โจ Title: Lightweight You Only Look Once-based automatic defect detection in Wire Arc #AdditiveManufacturing
๐จโ๐ฌ Authors: Runsheng Li, Baoqiang Cong, Yongjun Chaolin Tan๏ผet al.
๐ https://t.co/XVwJZiHEeX
#3DPrinting #DefectDetection #WAAM #MSAM
Manual inspection can miss hard-to-spot defects, leading to costly rejects, rework, and wasted materials. AI vision systems remove defective products early in the line increasing quality and reducing waste.
Read on:
โก๏ธhttps://t.co/jujQXcaXHj #defectdetection #foodprocessing
๐ข 2025 New Article!
โจ Title: โ#ArtificialIntelligence-driven #DefectDetection and localization in metal #3DPrinting using convolutional neural networksโ
๐จโ๐ฌ Authors: Xinyi Yin, Jan Akmal, Mika Salmi.
๐ https://t.co/TaSzpnTDMn
#MachineLearning #AdditiveManufacturing
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