Papers Defect Detection
“Defect Detection” 태그가 달린 논문 394편 · 필터 해제
A Survey of Surface Defect Detection of Industrial Products Based on A Small Number of Labeled Data
The surface defect detection method based on visual perception has been widely used in industrial quality inspection. Because defect data are not easy to obtain and the annotation of a large number of defect data will wa…
Data AugmentationDefect DetectionTransfer LearningDefect detection and segmentation in X-Ray images of magnesium alloy castings using the Detectron2 framework
New production techniques have emerged that have made it possible to produce metal parts with more complex shapes, making the quality control process more difficult. This implies that the visual and superficial analysis …
Defect Detectionobject-detectionObject DetectionSegmentationWastewater Pipe Rating Model Using Natural Language Processing
Closed-circuit video (CCTV) inspection has been the most popular technique for visually evaluating the interior status of pipelines in recent decades. Certified inspectors prepare the pipe repair document based on the CC…
Defect DetectionmodelSpecificityAudio Defect Detection in Music with Deep Networks
With increasing amounts of music being digitally transferred from production to distribution, automatic means of determining media quality are needed. Protection mechanisms in digital audio processing tools have not elim…
Data AugmentationDecoderDefect DetectionStructured light dark-field microscope
A resolution-enhanced dark-field microscope by structured light illumination is proposed to improve resolution and contrast. A set of phase-shifted fringes are projected to the sample plane at large angle to capture modu…
Defect DetectionOn-the-fly 3D metrology of volumetric additive manufacturing
Additive manufacturing techniques are revolutionizing product development by enabling fast turnaround from design to fabrication. However, the throughput of the rapid prototyping pipeline remains constrained by print opt…
Defect DetectionDeep learning-based defect detection of metal parts: evaluating current methods in complex conditions
Anomaly detection (AD) plays a key role in automated quality analysis in industrial production. Recent AD methods have shown great potential for the detection of visual defects in several real-world applications. Most of…
Anomaly DetectionDefect DetectionA Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection
In this paper, we present a Robust Completed Local Binary Pattern (RCLBP) framework for a surface defect detection task. Our approach uses a combination of Non-Local (NL) means filter with wavelet thresholding and Comple…
Defect DetectionDenoisingDeep learning in automated ultrasonic NDE -- developments, axioms and opportunities
The analysis of ultrasonic NDE data has traditionally been addressed by a trained operator manually interpreting data with the support of rudimentary automation tools. Recently, many demonstrations of deep learning (DL) …
Deep LearningDefect DetectionIn situ process quality monitoring and defect detection for direct metal laser melting
Quality control and quality assurance are challenges in Direct Metal Laser Melting (DMLM). Intermittent machine diagnostics and downstream part inspections catch problems after undue cost has been incurred processing def…
Defect DetectionFault DetectionregressionTime Series+1TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection
A critical aspect in the manufacturing process is the visual quality inspection of manufactured components for defects and flaws. Human-only visual inspection can be very time-consuming and laborious, and is a significan…
Decision MakingDefect DetectionA Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle
As solar capacity installed worldwide continues to grow, there is an increasing awareness that advanced inspection systems are becoming of utmost importance to schedule smart interventions and minimize downtime likelihoo…
Defect DetectionDefect Detection on Semiconductor Wafers by Distribution Analysis
A method for object classification that is based on distribution analysis is proposed. In addition, a method for finding relevant features and the unification of this algorithm with another classification algorithm is pr…
ClassificationDefect DetectionLF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image
X-ray image plays an important role in manufacturing industry for quality assurance, because it can reflect the internal condition of weld region. However, the shape and scale of different defect types vary greatly, whic…
Defect DetectionFully Convolutional Cross-Scale-Flows for Image-based Defect Detection
In industrial manufacturing processes, errors frequently occur at unpredictable times and in unknown manifestations. We tackle the problem of automatic defect detection without requiring any image samples of defective pa…
Anomaly DetectionDefect DetectionUnsupervised Anomaly DetectionSemantic Communications With AI Tasks
A radical paradigm shift of wireless networks from ``connected things'' to ``connected intelligence'' undergoes, which coincides with the Shanno and Weaver's envisions: Communications will transform from the technical le…
Defect DetectionSemantic CommunicationDeep Learning Strategies for Industrial Surface Defect Detection Systems
Deep learning methods have proven to outperform traditional computer vision methods in various areas of image processing. However, the application of deep learning in industrial surface defect detection systems is challe…
Deep LearningDefect DetectionA Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems
Some response surface functions in complex engineering systems are usually highly nonlinear, unformed, and expensive-to-evaluate. To tackle this challenge, Bayesian optimization, which conducts sequential design via a po…
Bayesian OptimizationDefect DetectionGaussian ProcessesChangeChip: A Reference-Based Unsupervised Change Detection for PCB Defect Detection
The usage of electronic devices increases, and becomes predominant in most aspects of life. Surface Mount Technology (SMT) is the most common industrial method for manufacturing electric devices in which electrical compo…
Change DetectionDefect DetectionRoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management
With the rapid development of intelligent detection algorithms based on deep learning, much progress has been made in automatic road defect recognition and road marking parsing. This can effectively address the issue of …
Asset ManagementDefect DetectionManagement