IEEE 1394 "FireWire" system design for industrial and factory automation applications

Scholles, M.; Frommhagen, K.; Kleinmann, L.; Nauber, P.; Schelinski, U.

doi:10.1109/etfa.2001.997744

Cited by 9 publications

(5 citation statements)

References 1 publication

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“…Full descriptions of IEEE-1394 can be found elsewhere [12], [23], [24], with industrial applications described in [11], [17]- [19] and industrial standards set by the 1394 Trade Association [25]. Here we consider only details which contribute to the experimental measurements.…”

Section: A Video and Image Processing Hardwarementioning

confidence: 99%

“…The data of Fig. 12 give a mean and standard deviation of the inter-frame interval of (19) The distribution of inter-frame intervals reflects the timing of isochronous packet and DMA buffer transfer. A DMA buffer can only be filled when an isochronous packet arrives; and an image transfer can only be completed when a DMA buffer is filled.…”

Section: A Variability In Image Arrive Timementioning

confidence: 99%

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Soft Synchronization: Synchronization for Network-Connected Machine Vision Systems

Armstrong

Veettil²

2007

IEEE Trans. Ind. Inf.

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Many computer vision applications require synchronization between image acquisition and external trigger events. Hardware and software triggering are widely used but have several limitations. Soft synchronization is investigated, which operates by time tagging both trigger events and images in a video stream and selecting the image corresponding to each trigger event. A stochastic model is developed for soft synchronization; and, based on the model, the uncertainty interval and confidence for correct image selection are determined, and an efficient calibration method is derived.Soft synchronization is experimentally demonstrated on a Linux image processing computer with a camera connected by the IEEE-1394 serial bus. To minimize timing variability, time tags are associated with images and events in the corresponding interrupt service routines within the operating system of the image processing computer. The model-based analysis applied to the experimental hardware shows that image/event synchronization within 1 2 inter-frame interval can be achieved with 99% confidence. Experiments confirm this result.

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Section: A Video and Image Processing Hardwarementioning

confidence: 99%

Section: A Variability In Image Arrive Timementioning

confidence: 99%

Soft Synchronization: Synchronization for Network-Connected Machine Vision Systems

Armstrong

Veettil²

2007

IEEE Trans. Ind. Inf.

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“…5. as high data rates and plug-and-play compatibility, as Just like the OSI model that is used widely in the well as support for asynchronous and isosynchronous TCP/IP protocol each level in the IEEE 1394 stack has data types [16 ]. Asynchronous data transfer is mainly certain functions assigned to it.…”

Section: Sae J1850 Protocolmentioning

confidence: 99%

“…All the transactions taking place on the MOST network involve the generation of a synchronous frame by a frame generator or timing master. Each node The development of the MOST network [16 ] stemmed from the need for a peer-peer network that had high has an internal timing device that locks onto this signal by means of a phase-locked loop (PLL). By locking data speeds, but was also cost effective.…”

Section: Sae J1850 Protocolmentioning

confidence: 99%

Electronic control units for automotive electrical power systems: Communication and networks

Shrinath

Emadi

2004

Proceedings of the Institution of Mechanical Engineers, Part D:

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The last decade has seen a resurgence of advanced technologies being implemented in automobiles. Functions that were considered highly complex and difficult to be implemented are not only being provided but various other facilities are also being built on those very functions. Everything from engine control to multimedia and infotainment services are implemented in today's automobiles. This has been due largely to the strides made by the electronics as well as the communications industry. The emergence of the concept of providing the customer with all possible services has led to an explosion of implementation of high-end electronics, each providing a facility of its own. When so many devices are being embedded in a car, there also has to be a mechanism that should regulate the way in which data transfer takes place. It is the objective of this paper to provide an insight into most of the communication protocols that are being used, as well as technologies that are under development in the automobile industry of today. Various protocols and their modus operandi are explained, with schematics completing the picture.

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“…There were also attempts to apply Firewire technology in much bigger control systems, such as those used in factory automation [66]. Firewire high data transfer rate and guaranteed delivery times are the critical properties in applications that involve some sort of image transfer.…”

Section: Firewire In Data Acquisitionmentioning

confidence: 99%

From Camac to Wireless Sensor Networks and Time-Triggered Systems and Beyond: Evolution of Computer Interfaces for Data Acquisition and Control. Part I

Zalewski¹

2016

IJC

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The objective of this paper is to present a historical overview of design choices for data acquisition and control systems, from the first developments in CAMAC, through the evolution of their designs operating in VMEbus, Firewire and USB, to the latest developments concerning distributed systems using, in particular, wireless protocols and time-triggered architecture. First part of the overview is focused on connectivity aspects, including buses and interconnects, as well as their standardization. More sophisticated designs and a number of challenges are addressed in the second part, among them: bus performance, bus safety and security, and others.

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IEEE 1394 "FireWire" system design for industrial and factory automation applications

Cited by 9 publications

References 1 publication

Soft Synchronization: Synchronization for Network-Connected Machine Vision Systems

Soft Synchronization: Synchronization for Network-Connected Machine Vision Systems

Electronic control units for automotive electrical power systems: Communication and networks

From Camac to Wireless Sensor Networks and Time-Triggered Systems and Beyond: Evolution of Computer Interfaces for Data Acquisition and Control. Part I

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