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Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology [article]

Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen
2020 arXiv   pre-print
Further, an in-depth discussion of existing deep-learning-related analysis methods in power lines inspection is proposed.  ...  With the aim of providing a comprehensive overview for researchers who are interested in developing a deep-learning-based analysis system for power lines inspection data, this paper conducts a thorough  ...  Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology Xinyu Liu, Xiren Miao, Hao Jiang, Member, IEEE, Jing Chen Abstract-The widespread popularity  ... 
arXiv:2003.09802v1 fatcat:2ywazixc2vfq7c35pgzci5gmgq

Real-Time On-Board Deep Learning Fault Detection for Autonomous UAV Inspections

Naeem Ayoub, Peter Schneider-Kamp
2021 Electronics  
In the Drones4Energy project, we work toward building an autonomous vision-based beyond-visual-line-of-sight (BVLOS) power line inspection system.  ...  Inspection of high-voltage power lines using unmanned aerial vehicles is an emerging technological alternative to traditional methods.  ...  Reviews of different data sources for vision-based inspection and existing vision-based inspection systems can be found in [9] .  ... 
doi:10.3390/electronics10091091 fatcat:kcdiyl6ceje43gev6uynbbhhre

Review on Machine Vision based Insulator Inspection Systems for Power Distribution System

P. Surya Prasad, B. Prabhakara Rao
2016 Journal of Engineering Science and Technology Review  
The main objective of this paper is to analyze and comprehend different machine learning and image processing based algorithms to find a practical solution for automated inspection of overhead power line  ...  With an incredible expansion of power distribution network even to remote areas, previously mentioned methods do not seem to be viable.  ...  Prior Literature Review Over the years, there are a number of review papers on condition monitoring of distribution power line inspection [23] [24] [25] [26] [27] .  ... 
doi:10.25103/jestr.095.21 fatcat:fovhq2mjojhkxfefwmm2ypokh4

Review of the State-of-the-art Sewer Monitoring and Maintenance Systems Pune Municipal Corporation - A Case Study

Ravindra R. Patil, Saniya M. Ansari, Rajnish Kaur Calay, Mohamad Y. Mustafa
2021 TEM Journal  
On-board processing with computer vision algorithms has not been efficiently utilized in terms of performance and determinations for real-world implementations of sewer robotic systems.  ...  This paper reviews the existing robotic systems and various platforms and algorithms along with their capabilities and limitations being discussed.  ...  Acknowledgements Thanks to the SPRING Eu-India Project and UiT The Arctic University of Norway, Narvik, Norway for PhD studies of Ravindra R. Patil (No. 821423 and GOI No. BT/IN/EU-WR/60/SP/2018).  ... 
doi:10.18421/tem104-02 fatcat:uwiuc72pyfczbe2yg5bvdqo2bi

Environment Perception Technologies for Power Transmission Line Inspection Robots

Minghao Chen, Yunong Tian, Shiyu Xing, Zhishuo Li, En Li, Zize Liang, Rui Guo, Bin Gao
2021 Journal of Sensors  
Secondly, the technology of typical object detection, including pylons, insulators, and power line accessories, is classified as traditional and deep learning-based methods.  ...  Firstly, 3D reconstruction of PTL inspection is reviewed and analyzed, especially for the technology of LiDAR-based reconstruction of power lines.  ...  Besides, the deep learning model used in engineering needs to be capable of training with new data, but little research is ongoing in this area.  ... 
doi:10.1155/2021/5559231 fatcat:erf3go57n5dk3axfj2xzgd5ofu

Review of Machine Vision Based Insulator Inspection Systems for Overhead Power Distribution System

P. Surya Prasad, B. Prabhakara Rao
2017 International Journal of Advances in Applied Sciences  
This review paper covers overall aspects of automatic detection of defects of insulator systems of electric power lines and classification into different classes by using vision-based techniques.  ...  With an incredible expansion of power distribution network even to remote areas, previously mentioned methods do not seem to be viable.  ...  PRIOR LITERATURE REVIEW In the last few decades, there has been a lot of research conducted in the field of automatic power line inspection.  ... 
doi:10.11591/ijaas.v6.i4.pp303-312 fatcat:drkpr2nsfbgzziuctszwpdhvbu

Review of Industry Workpiece Classification and Defect Detection using Deep Learning

Changxing Chen, Azween Abdullah, S. H. Kok, D. T. K. Tien
2022 International Journal of Advanced Computer Science and Applications  
It provides an empirical solution for the selection of workpiece classification and defect detection deep learning model in the future.  ...  As a branch of machine learning, deep learning has attained more optimal results in the image recognition discipline.  ...  The algorithm model could be learned in depth from the noise dataset with the possible identification of low feature target images in line with [62] , thus broadening the deep learning application range  ... 
doi:10.14569/ijacsa.2022.0130439 fatcat:p37gspzvm5cihimp7u7tawjqmm

An Advanced Unmanned Aerial Vehicle (UAV) Approach via Learning-based Control for Overhead Power Line Monitoring: A Comprehensive Review

Husam A. Foudeh, Patrick Chi-Kwong Luk, James F. Whidborne
2021 IEEE Access  
Furthermore, neither study provided an in-depth analysis of their results.  ...  In Section IV, the iterative learning control (ILC) algorithm is discussed and reviewed for approaches in UAVs applications.  ... 
doi:10.1109/access.2021.3110159 fatcat:r3bwct57jvgxxegzecskfsftrq

Digital Forensics Use Case for Glaucoma Detection Using Transfer Learning Based on Deep Convolutional Neural Networks

Jahanzaib Latif, Shanshan Tu, Chuangbai Xiao, Sadaqat Ur Rehman, Mazhar Sadiq, Muhammad Farhan, Farhan Ullah
2021 Security and Communication Networks  
In this work, we aim to accelerate this process using a computer-aided diagnosis of this severe disease with the help of transfer learning based on deep convolutional neural networks.  ...  In parallel with the development of various emerging fields such as computer vision and related technologies, e.g., iris identification and glaucoma detection, criminals are developing their methods.  ...  If this disease is recognized earlier, vision loss can be slowed or prevented completely [1] . Deep learning is a modern technique with much promise in the area of ophthalmology.  ... 
doi:10.1155/2021/4494447 fatcat:dbgzokdz75hahgya72bxrha6oi

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review

Mohsen Azimi, Armin Dadras Eslamlou, Gokhan Pekcan
2020 Sensors  
The procedure and application of vibration-based, vision-based monitoring, along with some of the recent technologies used for SHM, such as sensors, unmanned aerial vehicles (UAVs), etc. are discussed.  ...  The main goal of this paper is to review the latest publications in SHM using emerging DL-based methods and provide readers with an overall understanding of various SHM applications.  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their valuable comments on manuscript.  ... 
doi:10.3390/s20102778 pmid:32414205 pmcid:PMC7294417 fatcat:sl3t5pxt3rhy3adzjgziumvmia

Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision [article]

Jinli Suo, Weihang Zhang, Jin Gong, Xin Yuan, David J. Brady, Qionghai Dai
2021 arXiv   pre-print
in real systems by integrating deep learning algorithms into the mobile vision platform to achieve the closed loop of intelligent acquisition, processing and decision making, thus leading to the next  ...  Differently, Computational Imaging (CI) systems are designed to capture high-dimensional data in an encoded manner to provide more information for mobile vision systems.Thanks to AI, CI can now be used  ...  DISCUSSION In current digital era, mobile vision is playing an important role.  ... 
arXiv:2109.08880v1 fatcat:nbwyxsweljagpb43nzwpk3lf7y

Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision

Yunpeng Ma, Qingwu Li, Lulu Chu, Yaqin Zhou, Chang Xu
2021 Remote Sensing  
In this paper, an automatic transmission line inspection system incorporating UAV remote sensing with binocular visual perception technology is developed to accurately detect and locate power equipment  ...  Insulator detection and spatial localization in aerial images with cluttered backgrounds are interesting but challenging tasks for an automatic transmission line inspection system.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13020230 fatcat:fqdtfidlg5c6xpjh3omeou6oaa

Deep Learning for Track Quality Evaluation of High-speed Railway based on Vehicle-body Vibration Prediction

Shuai Ma, Liang Gao, Xiubo Liu, Jing Lin
2019 IEEE Access  
For this purpose, this paper gives a method to predict vehicle-body vibration based on deep learning, which represents one of the newest areas in artificial intelligence.  ...  CNN-LSTM can take advantage of the powerful feature extraction capacity of CNN and LSTM, and outperforms the fully-connected neural network and the plain LSTM on the experimental data of a high-speed railway  ...  Figure 4 shows a CIT at service and an intercepted section of track inspection data. The track inspection data of a HSR line in China is selected as the data source.  ... 
doi:10.1109/access.2019.2960537 fatcat:dqu6goam6vdhdbnpbg2hygbcdq

A Review on Computer Vision Technology for Monitoring Poultry Farm – Application, Hardware, and Software

Nur Syazarin Natasha Abd Aziz, Salwani Mohd Daud, Rudzidatul Akmam Dziyauddin, Mohamad Zulkefli Adam, Azizul Azizan
2020 IEEE Access  
This review provides a comprehensive overview of computer vision technology for poultry industry research.  ...  This review relies on the use of several online databases to identify key works in the area of computer vision in a poultry farm.  ...  ACKNOWLEDGMENT The authors would like to thank Universiti Tekonologi Malaysia (UTM) and specifically Advanced Informatics, Razak Faculty of Technology and Informatics, for realizing and supporting this  ... 
doi:10.1109/access.2020.3047818 fatcat:aiw5gtfi7javtips3bp6kof3l4

A Visual Servoing Scheme for Autonomous Aquaculture Net Pens Inspection Using ROV

Waseem Akram, Alessandro Casavola, Nadir Kapetanović, Nikola Miškovic
2022 Sensors  
In this paper, we report the integration of an ROV with a visual servoing scheme for regular inspection and tracking of the net pens.  ...  We propose a vision-based positioning scheme that consists of an object detector, a pose generator, and a closed-loop controller.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22093525 pmid:35591214 pmcid:PMC9099505 fatcat:fetxoyjabrd75ebky7tcfsgiou
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