A Decision and Communication Management Methodology for embedded Multi- smart Camera systems, applied to real-time inspection in lamps production

2008 ◽  
Author(s):  
Norberto Flores-Guzman ◽  
J. Humberto Sossa-Azuela ◽  
Rocky Bizuet-Garcia
Keyword(s):  
Real Time ◽  
Smart Camera ◽  
Communication Management ◽  
Camera Systems

Design and implementation of a virtual ARINC 653 simulation platform

SIMULATION ◽  
2021 ◽  
pp. 003754972199601
Author(s):  
Jinchao Chen ◽  
Keke Chen ◽  
Chenglie Du ◽  
Yifan Liu
Keyword(s):  
Real Time ◽  
System Development ◽  
General Purpose ◽  
Simulation Platform ◽  
Communication Management ◽  
Management Communication ◽  
Real Time Simulation ◽  
Testing And Debugging ◽  
Time Simulation ◽  
Efficiency And Effectiveness

The ARINC 653 operation system is currently widely adopted in the avionics industry, and has become the mainstream architecture in avionics applications because of its strong agility and reliability. Although ARINC 653 can efficiently reduce the weight and energy consumption, it results in a serious development and verification problem for avionics systems. As ARINC 653 is non-open source software and lacks effective support for software testing and debugging, it is of great significance to build a real-time simulation platform for ARINC 653 on general-purpose operating systems, improving the efficiency and effectiveness of system development and implementation. In this paper, a virtual ARINC 653 platform is designed and realized by using real-time simulation technology. The proposed platform is composed of partition management, communication management, and health monitoring management, provides the same operation interfaces as the ARINC 653 system, and allows dynamic debugging of avionics applications without requiring the actual presence of real devices. Experimental results show that the platform not only simulates the functionalities of ARINC 653, but also meets the real-time requirements of avionics applications.

Towards Self-organising Smart Camera Systems

2008 ◽  
pp. 220-231 ◽  
Author(s):  
Martin Hoffmann ◽  
Jörg Hähner ◽  
Christian Müller-Schloer
Keyword(s):  
Smart Camera ◽  
Camera Systems

scholarly journals Real-time eye tracking using a smart camera

2011 ◽  
Author(s):  
Mehrube Mehrubeoglu ◽  
Linh Manh Pham ◽  
Hung Thieu Le ◽  
Ramchander Muddu ◽  
Dongseok Ryu
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Smart Camera

Face detection system design for real time high resolution smart camera

2009 ◽  
Author(s):  
Yasir M. Mustafah ◽  
Abbas Bigdeli ◽  
Amelia W. Azman ◽  
Brian C. Lovell
Keyword(s):  
High Resolution ◽  
System Design ◽  
Real Time ◽  
Face Detection ◽  
Detection System ◽  
Smart Camera

Live demonstration: A smart camera for real-time monitoring of fluorescent cell biomarkers

2014 ◽  
Author(s):  
Julien Ghaye ◽  
Sinan K. Muldur ◽  
Patricia Urban ◽  
Agnieszka Kinsner-Ovaskainen ◽  
Pascal Colpo ◽  
...  
Keyword(s):  
Real Time ◽  
Smart Camera ◽  
Real Time Monitoring ◽  
Fluorescent Cell ◽  
Live Demonstration

scholarly journals HDR-ARtiSt: an adaptive real-time smart camera for high dynamic range imaging

2014 ◽  
Vol 12 (4) ◽  
pp. 747-762 ◽  
Author(s):  
Pierre-Jean Lapray ◽  
Barthélémy Heyrman ◽  
Dominique Ginhac
Keyword(s):  
Real Time ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
High Dynamic Range Imaging ◽  
Smart Camera ◽  
Range Imaging ◽  
High Dynamic

scholarly journals Social Distancing for Covid-19 Monitoring System

2021 ◽  
pp. 49-61
Author(s):  
Raj Kushwaha ◽  
Kismat Khatri ◽  
Yogesh Mahato
Keyword(s):  
Real Time ◽  
Safe Distance ◽  
Public Places ◽  
Cascade Algorithm ◽  
Facial Mask ◽  
Social Distancing ◽  
Video Footage ◽  
Camera Systems ◽  
Haar Cascade ◽  
Increasing Demand

The battle of corona-virus and mankind is possible to be tackled as long as we maintain the basic norm of social distancing and wearing masks amongst ourselves as it is through our droplets from the respiratory tract that the virus spreads. With the increasing demand for man-force and people requiring to go to their workplaces post lockdown, it is very necessary that we save each other from the virus. In this project, we will go through a detailed explanation of how we can use Python, AI and Deep Learning to monitor social distancing at public places and workplaces are keeping a safe distance from each other by analyzing real-time video streams from the camera and also detect facial mask monitoring using OpenCV and Python. To ensure if people are following social distancing protocols in public places and workplaces, we wanted to develop a tool that can monitor if people are keeping a safe distance from one another, wearing masks or not by processing real-time video footage from the camera. People at workplaces, factories, shops can integrate this tool into their security camera systems and can monitor whether people are keeping a safe distance from each other or not along with that we detect facial mask monitoring using Python with help of haar-cascade algorithm to see whether a person is wearing a mask or not. We are also planning to include thermal screening detection to measure the temperature of the subjects, a dashboard which will display a live report of corona cases around the world. We will also include an alert system that will send a notification to the authorities if the social distancing is not followed or if the temperature exceeds the threshold. The authorities can take suitable measures to isolate the subject and thus prevent the spread of Covid-19.

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