A flexible context-aware assistance system for industrial applications using camera based localization

2014 ◽  
Author(s):  
Jahanzaib Imtiaz ◽  
Nils Koch ◽  
Holger Flatt ◽  
Jurgen Jasperneite ◽  
Michael Voit ◽  
...  
Keyword(s):  
Industrial Applications ◽  
Assistance System ◽  
Context Aware

scholarly journals Medical image processing with contextual style transfer

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yin Xu ◽  
Yan Li ◽  
Byeong-Seok Shin
Keyword(s):  
Medical Image ◽  
Medical Image Processing ◽  
Image Synthesis ◽  
Industrial Applications ◽  
Generative Models ◽  
Context Aware ◽  
Training Set ◽  
Style Transfer ◽  
Segmentation Accuracy ◽  
Generative Methods

Abstract With recent advances in deep learning research, generative models have achieved great achievements and play an increasingly important role in current industrial applications. At the same time, technologies derived from generative methods are also under a wide discussion with researches, such as style transfer, image synthesis and so on. In this work, we treat generative methods as a possible solution to medical image augmentation. We proposed a context-aware generative framework, which can successfully change the gray scale of CT scans but almost without any semantic loss. By producing target images that with specific style / distribution, we greatly increased the robustness of segmentation model after adding generations into training set. Besides, we improved 2– 4% pixel segmentation accuracy over original U-NET in terms of spine segmentation. Lastly, we compared generations produced by networks when using different feature extractors (Vgg, ResNet and DenseNet) and made a detailed analysis on their performances over style transfer.

scholarly journals Context-Aware Driver Assistance System

2012 ◽  
Vol 10 ◽  
pp. 785-794 ◽  
Author(s):  
Wael Alghamdi ◽  
Elhadi Shakshuki ◽  
Tarek R.Sheltami
Keyword(s):  
Driver Assistance System ◽  
Assistance System ◽  
Context Aware ◽  
Driver Assistance

scholarly journals RFID Enabled Virtual Guided Assistance System for Foreign Tourists

2020 ◽  
Vol 9 (1) ◽  
pp. 1774-1778
Keyword(s):  
Complete System ◽  
Portable Device ◽  
Assistance System ◽  
Accurate Information ◽  
Monitoring Device ◽  
Context Aware ◽  
Rfid Technology ◽  
Visual Guidance ◽  
Travel Experience ◽  
Tourist Guides

The language of the traveler might not always be known to the tourist guides, or the information available about the place might not be right, and moreover the charges of the guides might be too high. In the end, the travel experience and the place does not satisfy the tourists. In this paper, the development of a portable device is described, so that the tourists can experience a hassle-free tour. The implementation and demonstration of a complete system is discussed, which provides accurate information to the tourists along with visual guidance and assists them during their tour. This system makes use of two concepts, namely RFID technology and context aware information. This system can be used in several different locations like museum, zoo, historic monuments, tourist spots, government offices to provide the user with directions and information relevant to their location. The system can also be used as a monitoring device at research centers and hospitals

scholarly journals Integrated Context-Aware Driver Assistance System Architecture

2013 ◽  
Vol 9 (3) ◽  
pp. 225-240 ◽  
Author(s):  
Elhadi M. Shakshuki ◽  
Wael Alghamdi ◽  
Tarek Sheltami
Keyword(s):  
System Architecture ◽  
Communication Systems ◽  
Driver Assistance System ◽  
Response Times ◽  
Knowledge Exchange ◽  
Assistance System ◽  
Context Aware ◽  
Vehicular Communication ◽  
Driver Assistance ◽  
Hazard Detection

Recently, significant improvements have been made in the area of vehicular communication systems. Furthermore, vehicle-to-vehicle communication is considered a key concept for keeping roads safe. An efficient implementation of these systems is necessary to ensure the safety of driving situations and to reduce the collision rates. This paper proposes a Context-Aware Driver Assistance System that links drivers with the physical environment surrounding them using multiple types of sensors and traffic systems as well as considering the senior driver's difficulties and the system processing time. This is achieved by developing a warning system that assists drivers to avoid collisions and improve their response times. The proposed system architecture consists of a set of components to process the user's request such as parking assistance, and to provide responses and advices when needed. These components include communication, knowledge exchange, knowledge update, and context-history. Also, it includes other processes such as context-history manipulation, hazard detection, and hazard detection control. The main goal of the proposed system is to reduce the number of car accidents and improve driver's decisions. The NXT Robotic environment is used to demonstrate the feasibility of the proposed system.

Vision-based machine learning worker assistance system for people with disabilities on low cost hardware

2021 ◽  
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
International Symposium ◽  
Fast Track ◽  
Low Cost ◽  
People With Disabilities ◽  
Industrial Applications ◽  
Assistance System ◽  
Electronic Imaging ◽  
Intelligent Robotics

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Intelligent Robotics and Industrial Applications using Computer Vision 2021 proceedings.

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