A novel software framework for embedded multiprocessor smart cameras

Doblander, Andreas; Zoufal, Andreas; Rinner, Bernhard

doi:10.1145/1509288.1509296

Cited by 9 publications

(3 citation statements)

References 21 publications

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“…Fourthly, the sensor nodes are severely limited in energy, processing, and storage. Therefore, they need stringent resource management [19] [20]. Fifthly, in the most applicable scenarios, the sensor network nodes except some of the mobile ones are usually fixed after locating.…”

Section: -Problem Expressionmentioning

confidence: 99%

Providing a New Smart Camera Architecture for Intrusion Detection in Wireless Visual Sensor Network

Sani¹,

Khatibi²

2023

jist

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The wireless Visual sensor network is a highly functional domain of high-potential network generations in unpredictable and dynamic environments that have been deployed from a large number of uniform or non-uniform groups within the desired area, cause the realization of large regulatory applications from the military and industrial domain to hospital and environment. Therefore, security is one of the most important challenges in these networks. In this research, a new method of routing smart cameras with the help of cloud computing technology has been provided. The framework in the cloud computing management layer increases security, routing, inter interaction, and other features required by wireless sensor networks. Systematic attacks are simulated by a series of standard data collected at the CTU University related to the Czech Republic with RapidMiner software. Finally, the accuracy of detection of attacks and error rates with the suggested NN-SVM algorithm, which is a combination of vector machines and neural networks, is provided in the smart cameras based on the visual wireless sensor networks in MATLAB software. The results show that different components of the proposed architecture meet the quality characteristics of visual wireless sensor networks. Detection of attacks in this method is in the range of 99.24% and 99.35% in the worst and best conditions, respectively.

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Section: -Problem Expressionmentioning

confidence: 99%

Providing a New Smart Camera Architecture for Intrusion Detection in Wireless Visual Sensor Network

Sani¹,

Khatibi²

2023

jist

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“…Doblander et al [11] analyzed the RT-CORBA advantage and disadvantage. The problem is that they also aim at supporting a wide range of programming languages and mostly general-purpose computer architectures.…”

Section: Rt-corba Middlewarementioning

confidence: 99%

A lightweight middleware framework for vehicle networking application

Jiang

Zeng²,

Jing

et al. 2015

Concurrency and Computation

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There is a growing need for Vehicle Networking Applications (VNAs) development that does not require users to learn the details of VNA data processing and message transfer. VNAs have some special requirements differing from other general-purpose applications, such as real-time performance, extensibility, compatibility, and reusability. To meet with these requirements of the VNAs, we propose a lightweight middleware framework for VNAs in this article. In the middle framework, we design multi-layer middleware architecture to separate VNAs from the software platform and to improve the adaptability for the heterogeneous network and various vehicle networking communication protocols. Meanwhile, the middleware architecture consists of fixed and exchangeable modules to improve the middleware reusability. And the component bus is presented in a framework to standardize component interfaces to improve the extensibility of middleware. The framework has an efficient and simple structure to guarantee the real-time performance of data processing and message transferring. This middleware also provides a uniform communication mechanism to be compatible with other existing middleware. In this article, we describe the design ideas and the composition of each module in the middleware framework, and analyze the data flow in communication process. We also develop the middleware prototypes to verify the feasibility of the middleware framework.development. How to develop and integrate the difference middleware together to serve VITs is the key issue for VNAs developers.Meanwhile, there are multiple kinds of communication networks in VNAs, including in-vehicle network, inter-vehicle network, vehicular body network, and the Internet. They take different network technologies, such as WiFi (Wireless Fidelity) and Bluetooth for in-vehicle network, DSRC (Dedicated Short-Range Communications) [1] for inter-vehicle network, 3G (the 3rd Generation mobile communication network) and WiFi for Internet, and CAN (Controller Area Network) or FlexRay for vehicular body network. Multiple types of networks are integrated together to serve one VNA. So, the reusability and the portability of VNAs become worse. How to hide different network communication interfaces and how to switch networks according to requirements are the problems for VNA communication.To facilitate the development of VNAs on the existing software platforms, how to deal with the occurring problems in VNA development and how to improve the development efficiency of VNAs become more and more urgent. These problems are the obstacles to develop a universal VNA. Up to now, there are still no uniform application standards for vehicular network. Middleware is used widely as a desirable method for most developers to reduce redevelopment and to hide the heterogeneity of lower-layer software and hardware. So, it is necessary to provide one middleware framework for VNAs, which has a simple, adaptive, and extensible structure to hide the heterogeneity of a network and platform, and improve the gen...

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“…Doblander et al [8] focus on the system-level software required for efficient streaming applications on single smart cameras as well as on networks of distributed smart cameras. Their software framework is based on a publisher-subscriber architecture and provides mechanisms for dynamically loading and unloading software components as well as for graceful degradation in case of software-and hardware-related faults.…”

Section: Related Workmentioning

confidence: 99%

A pervasive smart camera network architecture applied for multi-camera object classification

Schriebl

Winkler

Starzacher

et al. 2009

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)

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Abstract-Visual sensor networks are an emerging research area with the goal of using cameras as pervasive and affordable sensing and processing devices. This paper presents a pervasive smart camera platform which is built from off-the-shelf hardware and software components. The hardware platform is comprised of an OMAP 3530 processor, 128 MB RAM and various interfaces for connecting sensors and peripherals. A dual-radio wireless network allows to trade communication performance for power consumption. The software architecture is built upon standard Linux and supports dataflow oriented application development by dynamically instantiating and connecting functions blocks. Data is transferred between blocks via shared memory for high throughput. We present a performance evaluation of our smart camera platform as well as a multi-camera object classification system to demonstrate the capabilities and applicability of our approach.

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A novel software framework for embedded multiprocessor smart cameras

Cited by 9 publications

References 21 publications

Providing a New Smart Camera Architecture for Intrusion Detection in Wireless Visual Sensor Network

Providing a New Smart Camera Architecture for Intrusion Detection in Wireless Visual Sensor Network

A lightweight middleware framework for vehicle networking application

A pervasive smart camera network architecture applied for multi-camera object classification

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