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Combining Structure and Appearance for Anomaly Detection in Wire Ropes
[chapter]
2011
Lecture Notes in Computer Science
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The density serves as description for normal surface variations and allows a robust localization of rope surface defects. We evaluate our approach on real-world data from real ropeways. ...
We present a new approach for anomaly detection in the context of visual surface inspection. ...
Finally, section 4 turns to the problem of anomaly detection for defect analysis. ...
doi:10.1007/978-3-642-23678-5_18
fatcat:veav43fuijawfj63zsnvx5qi6i
On-machine surface defect detection usinglight scattering and deep learning
2020
Optical Society of America. Journal A: Optics, Image Science, and Vision
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Once the neural network is trained, it allows for fast, accurate, and robust defect detection. ...
This paper presents an on-machine surface defect detection system using light scattering and deep learning. ...
The authors declare no conflicts of interest. ...
doi:10.1364/josaa.394102
pmid:32902420
fatcat:rd2r62ozpvefhpgikkeegopsse
Robust Powerline Equipment Inspection System Based on a Convolutional Neural Network
2018
Sensors
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In this paper, we present an automatic real-time electrical equipment detection and defect analysis system. ...
We demonstrate the performances of the proposed real-time equipment detection with up to 93% recall with 92% precision, and defect analysis system with up to 98% accuracy, on a large evaluation dataset ...
Method
Published Year
# of Equip. that Can Be Detected
Can Handle
Variations in
Background Type
Major Drawback
Color
Lighting
Shape
View-Point
[2]
'17
1
Require GPU for real-time ...
doi:10.3390/s18113837
pmid:30413123
fatcat:jx26an7qarbvrl47qughg53i5y
Research Progress of Automated Visual Surface Defect Detection for Industrial Metal Planar Materials
2020
Sensors
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The computer-vision-based surface defect detection of metal planar materials is a research hotspot in the field of metallurgical industry. ...
This paper attempts to present a comprehensive survey on both two-dimensional and three-dimensional surface defect detection technologies based on reviewing over 160 publications for some typical metal ...
For example, Ghorai et al. [5] developed a set of automated visual detection systems for real-time surface image acquisition to detect surface defects of hot-rolled strip steel. ...
doi:10.3390/s20185136
pmid:32916943
fatcat:qele6iuawnayrkjwywhkhjrmae
Sling bag and backpack detection for human appearance semantic in vision system
2013
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
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We propose two novel and fast algorithms for sling bag and backpack detection based on the geometrical properties of bags. ...
In many intelligent surveillance systems there is a requirement to search for people of interest through archived semantic labels. ...
In this work, we are interested in detecting sling bags and backpacks in real-time. ...
doi:10.1109/iros.2013.6696654
dblp:conf/iros/ChuaLWPCNZ13
fatcat:jcc5a2gepfgrrlitooclq2tug4
Detection of laser-induced optical defects based on image segmentation
2019
High Power Laser Science and Engineering
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A number of vision-based methods for detecting laser-induced defects on optical components have been implemented to replace the time-consuming manual inspection. ...
We show in our experimental evaluation that our approach can accurately locate laser-induced defects on the optics in real time. ...
Figure 2 . 2 The overall architecture to train the model for detection of optical defects in real time. ...
doi:10.1017/hpl.2019.52
fatcat:ogxabmsh5vdm3jai7fcwwsmct4
State of the Art in Defect Detection Based on Machine Vision
2021
International Journal of Precision Engineering and Manufacturing - Green Technology
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AbstractMachine vision significantly improves the efficiency, quality, and reliability of defect detection. ...
Thus, a detailed description of the application of deep learning in defect classification, localization and segmentation follows the discussion of traditional defect detection algorithms. ...
For real-time analysis of spectrum data, Huang et al. ...
doi:10.1007/s40684-021-00343-6
fatcat:gzukmfsx3veexktu2mg4tcbdfi
Simulation-Based Data Augmentation for the Quality Inspection of Structural Adhesive With Deep Learning
2021
IEEE Access
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LIMITATIONS While the proposed approach is robust to variations regarding for instance position or lighting conditions in the quality inspection images, the performance of the models is limited for extreme ...
an attempt to minimize defects and scrap. ...
.: Simulation-based Data Augmentation for the Quality Inspection of Structural Adhesive with Deep Learning MAGNO GUEDES is a senior researcher, team leader and technical responsible for software development ...
doi:10.1109/access.2021.3082690
fatcat:pj7umwctjzamvf6t6vqkrthdou
An Adaptive Method for Inspecting Illumination of Color Intensity in Transparent Polyethylene Terephthalate Preforms
2020
IEEE Access
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intensity evaluation is a robust and adaptive solution under illuminated conditions for detecting abnormalities in machine-based PET inspection procedures. ...
This system is capable of inspecting large quantities of preforms in real time using a neural network with a modified gradient descent and momentum algorithm. ...
[27] developed a machine vision system for real-time monitoring and control of batch flotation processes. ...
doi:10.1109/access.2020.2991474
fatcat:5zg4jk2nvvepjlggi35dglzodm
Automatic Defect Detection of Patterned Fabric by using RB Method and Independent Component Analysis
2012
International Journal of Computer Applications
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The development of fully automated web inspection system requires robust and efficient fabric defect detection algorithms. ...
The main aim of this study is to find independent components of the Regular Bands method of the patterned fabric images for the purpose of defect detection in this paper, Independent Component Analysis ...
Proposed approach is suitable for real time applications and the previous detection rates are compared along with the overall detection rates. ...
doi:10.5120/5084-7422
fatcat:ku4lnvq5pze2nd4olvqc44azki
A Drone Based Transmission Line Components Inspection System with Deep Learning Technique
2020
Energies
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The proposed system employs a deep learning-based framework using Jetson TX2 embedded platform for the real-time detection and localization of these components from a live video captured by remote-controlled ...
Results show that the proposed detection and localization system is robust against highly cluttered environment, while the proposed defect analyzer outperforms similar researches in terms of defect detection ...
Successful implementation of an embedded system for real-time processing of drone videos with CNN-based transmission line components detection framework. ...
doi:10.3390/en13133348
fatcat:g37hke736vdmfffplxki5ocxku
Defect Detection in Pipes using a Mobile Laser-Optics Technology and Digital Geometry
2015
MATEC Web of Conferences
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We also propose a fast boundary extraction algorithm for real time detection of defects, where a trace of consecutive images are used to track the image features. ...
Defect sizes of 2 mm or larger can be detected using this method in pipes of up to 24 inch in diameter. The proposed sensor can detect 180-degree (i.e., upper half surface of the pipe). ...
Our experiments showed that the resolution of the omnidirectional sensor used was good enough to detect defects of 2-mm in size or larger.
Real-time inspection. ...
doi:10.1051/matecconf/20153206006
fatcat:degmgfsnbnbofjzzmu7di3owzy
Long-term multiobject tracking using alternative correlation filters
2018
Turkish Journal of Electrical Engineering and Computer Sciences
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We propose a real-time multiobject-tracking approach that is minimally affected by environmental conditions and target appearance change. ...
Motion blobs are also used to minimize object boundary drift, which is a challenging problem, especially for long-term tracking. ...
The proposed approach works in real time and is minimally affected by the number of objects in a scene at the same time; thus, a multithreaded programming approach was applied for this purpose. ...
doi:10.3906/elk-1709-245
fatcat:h5wyke6hzzduhcqfnwb2xk7f3y
Enhanced anomaly detection in wire ropes by combining structure and appearance
2013
Pattern Recognition Letters
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A robust localization of rope surface defects is achieved by means of anomaly detection. ...
An evaluation on real-world data from ropeways leads to an accuracy comparable to that of a human expert. ...
The camera system used for the rope acquisition is closed and therefore minimizes the influence of the natural illumination (e.g sun light). ...
doi:10.1016/j.patrec.2013.01.025
fatcat:q2pr3yguwbedfar5s6za4kkxbe
Quality grading of painted slates using texture analysis
2005
Computers in industry (Print)
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This paper details the development of an automated vision-based solution for identification of paint and substrate defects on painted slates. ...
The developed inspection system was tested for robustness and experimental results are presented. # ...
The light level offered by the collimated light source was sufficient to image the slate at high resolution (exposure time 400 ms) and for this implementation this type of illumination has been adopted ...
doi:10.1016/j.compind.2005.05.008
fatcat:goigqieoancs7jfpyq4ff43bnq
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