Journal ArticleDOI
Development of a real-time security management system for restricted access areas using computer vision and deep learning
TLDR
A system for real-time monitoring of railway facilities and secure areas and assisting the safety and security managers in responding swiftly and effectively to prevent or minimize risks that arise due to intruders.Abstract:
The safety of railways, the nation's main transportation network, is currently drawing attention. This is mainly because of recent terrorist attacks aimed at private multipurpose facilities in a nu...read more
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Journal ArticleDOI
Trends, benefits, and barriers of unmanned aerial systems in the construction industry: a survey study in the United States
Gilles Albeaino,Masoud Gheisari +1 more
TL;DR: By understanding UAS adoption in construction, this study provides a roadmap to better identify the industry needs and guide researchers and professionals in investigating application areas and barriers that might have maximum benefits for the construction industry in the United States.
Proceedings ArticleDOI
Sensitivity Analysis of Computer Vision System for Visual Control of Butt Joints Weld Defects
TL;DR: In this paper , the authors investigated the possibility of using the iRVision 3DL vision system to solve the problem of analyzing the quality of welds obtained after welding for the presence of surface defects.
Proceedings ArticleDOI
Sensitivity Analysis of Computer Vision System for Visual Control of Butt Joints Weld Defects
TL;DR: In this paper , the authors investigated the possibility of using the iRVision 3DL vision system to solve the problem of analyzing the quality of welds obtained after welding for the presence of surface defects.
Proceedings ArticleDOI
Robot for Ball Fetch-and-Carry with Computer Vision in Deep Learning
TL;DR: In this paper , a robot which functioned as fetch-and-carry ball sever was implemented, and the results showed that the number of successful fetch and carry is in the range of 69 to 88 times in the competition of working in 100 minutes to pick the table tennis balls.
Journal ArticleDOI
Investigating the application of deep learning to identify pedestrian collision-prone zones
Haniyeh Ghomi,Mohamed A. Hussein +1 more
TL;DR: In this article , a self-organizing map (SOM) deep learning model was developed to identify collision-prone zones for the two collision classes, and the results showed that the SOM model identified collisionprone zones with a high accuracy that exceeded the traditional Bayesian approach, based on the developed consistency test.
References
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Book ChapterDOI
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin,Michael Maire,Serge Belongie,James Hays,Pietro Perona,Deva Ramanan,Piotr Dollár,C. Lawrence Zitnick +7 more
TL;DR: A new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding by gathering images of complex everyday scenes containing common objects in their natural context.
Posted Content
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew Howard,Menglong Zhu,Bo Chen,Dmitry Kalenichenko,Weijun Wang,Tobias Weyand,M. Andreetto,Hartwig Adam +7 more
TL;DR: This work introduces two simple global hyper-parameters that efficiently trade off between latency and accuracy and demonstrates the effectiveness of MobileNets across a wide range of applications and use cases including object detection, finegrain classification, face attributes and large scale geo-localization.
Journal ArticleDOI
Real-time computer vision with OpenCV
TL;DR: Application areas for computer-vision technology include video surveillance, biometrics, automotive, photography, movie production, Web search, medicine, augmented reality gaming, new user interfaces, and many more.
Proceedings ArticleDOI
A computational model for TensorFlow: an introduction
TL;DR: The paper describes an operational semantics, of the kind common in the literature on programming languages, that suggests that a programming-language perspective is fruitful in designing and in explaining systems such as TensorFlow.
Contour detection and image segmentation
Jitendra Malik,Michael Maire +1 more
TL;DR: The segmentation algorithm consists of generic machinery for transforming the output of any contour detector into a hierarchical region tree, which outperforms existing image segmentation algorithms on measures of both boundary and segment quality.
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