Virtual Inductive Loop: Real time video analytics for vehicular access control

2021 ◽  
Author(s):  
Narayanan Ramanathan ◽  
Allison Beach ◽  
Robert Hastings ◽  
Weihong Yin ◽  
Sima Taheri ◽  
...  
Keyword(s):  
Access Control ◽  
Real Time ◽  
Video Analytics ◽  
Inductive Loop

scholarly journals Deep-Framework: A Distributed, Scalable, and Edge-Oriented Framework for Real-Time Analysis of Video Streams

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4045
Author(s):  
Alessandro Sassu ◽  
Jose Francisco Saenz-Cogollo ◽  
Maurizio Agelli
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Video Data ◽  
Video Analytics ◽  
Web Based ◽  
Real Time Analysis ◽  
Open Source Framework ◽  
Cluster Configuration ◽  
Time Requirements ◽  
High Level

Edge computing is the best approach for meeting the exponential demand and the real-time requirements of many video analytics applications. Since most of the recent advances regarding the extraction of information from images and video rely on computation heavy deep learning algorithms, there is a growing need for solutions that allow the deployment and use of new models on scalable and flexible edge architectures. In this work, we present Deep-Framework, a novel open source framework for developing edge-oriented real-time video analytics applications based on deep learning. Deep-Framework has a scalable multi-stream architecture based on Docker and abstracts away from the user the complexity of cluster configuration, orchestration of services, and GPU resources allocation. It provides Python interfaces for integrating deep learning models developed with the most popular frameworks and also provides high-level APIs based on standard HTTP and WebRTC interfaces for consuming the extracted video data on clients running on browsers or any other web-based platform.

scholarly journals AURORA: autonomous real-time on-board video analytics

2016 ◽  
Vol 28 (5) ◽  
pp. 855-865 ◽  
Author(s):  
Plamen Angelov ◽  
Pouria Sadeghi-Tehran ◽  
Christopher Clarke
Keyword(s):  
Real Time ◽  
Video Analytics

Software Applications as an Ensuring Means the Quality of Service the Wi-Fi networks

2021 ◽  
pp. 106-115
Author(s):  
С.В. Шевелев ◽  
А.Б. Семенов
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Access Control ◽  
Real Time ◽  
Control Mechanism ◽  
Fine Tuning ◽  
Control Mechanisms ◽  
Software Applications ◽  
Access Control Mechanism

Рассмотрены принципы обеспечения заданного уровня качества обслуживания QoS в беспроводных сетях, позволяющие достигнуть устойчивого функционирования программных приложений реального времени за счет тонкой настройки приоритезации генерируемого ими трафика. Основное внимание уделяется механизму управления доступом на основе конкуренции и контролируемого доступа, а также их расширениям. Затронуты вопросы инкапсуляции базовых механизмов управления в решения более высоких уровней EDCA и TXOP. Приведены расчетные значения соответствующих параметров. The principles of ensuring a given level of quality of QoS service in wireless networks are considered, which allow achieving the stable functioning of real-time software applications by fine-tuning the prioritization of the traffic generated by them. The main focus is on the competition-based access control mechanism and controlled access, as well as their extensions. The issues of encapsulation of basic control mechanisms in solutions of higher levels of EDCA and TXOP are touched upon. The calculated values of the corresponding parameters are given.

Soudain: Online Adaptive Profile Configuration for Real-time Video Analytics

2021 ◽  
Author(s):  
Kun Wu ◽  
Yibo Jin ◽  
Weiwei Miao ◽  
Zeng Zeng ◽  
Zhuzhong Qian ◽  
...  
Keyword(s):  
Real Time ◽  
Video Analytics

scholarly journals SIAT: A Distributed Video Analytics Framework for Intelligent Video Surveillance

Symmetry ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 911 ◽  
Author(s):  
Md Azher Uddin ◽  
Aftab Alam ◽  
Nguyen Anh Tu ◽  
Md Siyamul Islam ◽  
Young-Koo Lee
Keyword(s):  
Distributed Computing ◽  
Real Time ◽  
Video Surveillance ◽  
Video Processing ◽  
Large Scale ◽  
Distributed Processing ◽  
Content Management ◽  
Video Data ◽  
Video Analytics ◽  
Intelligent Video Surveillance

In recent years, the amount of intelligent CCTV cameras installed in public places for surveillance has increased enormously and as a result, a large amount of video data is produced every moment. Due to this situation, there is an increasing request for the distributed processing of large-scale video data. In an intelligent video analytics platform, a submitted unstructured video undergoes through several multidisciplinary algorithms with the aim of extracting insights and making them searchable and understandable for both human and machine. Video analytics have applications ranging from surveillance to video content management. In this context, various industrial and scholarly solutions exist. However, most of the existing solutions rely on a traditional client/server framework to perform face and object recognition while lacking the support for more complex application scenarios. Furthermore, these frameworks are rarely handled in a scalable manner using distributed computing. Besides, existing works do not provide any support for low-level distributed video processing APIs (Application Programming Interfaces). They also failed to address a complete service-oriented ecosystem to meet the growing demands of consumers, researchers and developers. In order to overcome these issues, in this paper, we propose a distributed video analytics framework for intelligent video surveillance known as SIAT. The proposed framework is able to process both the real-time video streams and batch video analytics. Each real-time stream also corresponds to batch processing data. Hence, this work correlates with the symmetry concept. Furthermore, we introduce a distributed video processing library on top of Spark. SIAT exploits state-of-the-art distributed computing technologies with the aim to ensure scalability, effectiveness and fault-tolerance. Lastly, we implant and evaluate our proposed framework with the goal to authenticate our claims.

scholarly journals Article Retracted 22/07/2011 - GuST: Guaranteed Services Token Protocol for Real-Time Communications

1970 ◽  
Vol 8 (1-2) ◽  
pp. 197-210
Author(s):  
Simeon Ozuomba ◽  
Gloria A. Chukwudebe
Keyword(s):  
Access Control ◽  
Real Time ◽  
Integrated Services ◽  
Multimedia Applications ◽  
Media Access Control ◽  
Heavy Load ◽  
Integrated Services Networks ◽  
Real Time Traffic ◽  
Light Load ◽  
Guaranteed Services

This Article was RETRACTED on 22/07/2011 at the request of the authors because the paper has already been published in another journal in Nigeria. - Editor, JIEIn this paper, Guaranteed Services Token (GuST) protocol for integrated services networks which can efficiently support diverse traffic consisting of hard and soft real-time traffic along with non-real-time traffic is proposed. This is to meet the increasing demand for better performance of real time communications required by distributed multimedia applications, process control, factory automation, etc.For some time now, timed-token protocols have become the preferred Medium Access Control (MAC) protocol for supporting modern real-time systems. However, the existing timed-token protocols have been studied, and inefficiencies discovered with the way asynchronous traffic is handled. GuST employs the timed-token mechanisms in the Timely-Token protocol along with that of Budget Sharing Token (BuST) protocol. We discussed some bounds on the behavior of GuST protocol. In particular, we show that the token is never late, and the transmission of asynchronous traffic is guaranteed. We also compared GuST protocol against the Timely-Token protocol and the BuST protocol. Our comparison focuses on the ability of those protocols to support synchronous and asynchronous traffic. We demonstrated that the performance achieved by GuST is better than Timely-Toke n and BuST protocols especially for a system with light load of real-time traffic but with heavy load of non-real-time traffic. GuST protocol can be incorporated into the Ethernet network to provide real-time performance guarantees to multimedia applications. It can also be used to improve on the throughput of the Profibus which is a Fieldbus network standard.Keywords: Timed-Token Protocol; Ethernet; Timely-Token Protocol; Budget Sharing Token Protocol; Integrated Services Networks; Real-Time Traffic; Non-Real-Time Traffic; Media Access Control (MAC); GuST: Guaranteed; Services Token protocolDOI: http://dx.doi.org/10.3126/jie.v8i1-2.5112Journal of the Institute of Engineering Vol. 8, No. 1&2, 2010/2011Page: 197-210Uploaded Date: 20 July, 2011

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