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Automatic identification and data capture

About: Automatic identification and data capture is a research topic. Over the lifetime, 673 publications have been published within this topic receiving 11627 citations.


Papers
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Book
23 May 2003
TL;DR: In this paper, the authors provide a standard reference for people working with RFID technology, including electron data carrier architecture and common algorithms for anticollision, and a detailed appendix providing up-to-date information on relevant ISO standards and regulations, including descriptions of ISO 14443 for contactless ticketing and ISO 15693 covering the smartlabel.
Abstract: RFID (Radio Frequency Identification) is used in all areas of automatic data capture allowing contactless identification of objects using RF. With applications ranging from secure internet payment systems to industrial automation and access control, RFID technology solutions are receiving much attention in the research and development departments of large corporations. RFID is a major growth are in auto ID, allowing emergency vehicles to safely trip traffic signals, and providing the technology behind contactless smart cards, "autopiloting" cars, and production automation. Fully revised and updated to include all the latest information on industry standards and applications, this new edition provides a standard reference for people working with RFID technology.Expanded sections explain exactly how RFID systems work, and provide up-to-date information on the development of new tags such as the smart label. This book provides updated coverage of RFID technologies, including electron data carrier architecture and common algorithms for anticollision. It details the latest RFID applications, such as the smartlabel, e-commerce and the electronic purse, document tracking and e-ticketing. It includes a detailed appendix providing up-to-date information on relevant ISO standards and regulations, including descriptions of ISO 14443 for contactless ticketing and ISO 15693 covering the smartlabel.A leading-edge reference for this rapidly evolving technology, this text is of interest to practitioners in auto ID and IT designing RFID products and end-users of RFID technology, computer and electronics engineers in security system development and microchip designers, automation, industrial and transport engineers and materials handling specialists. It is also a valuable resource for graduate level students in electronics and industrial engineering design.

2,233 citations

Proceedings Article
30 Aug 2005
TL;DR: This system enables semantic RFID data filtering and automatic data transformation based on declarative rules, provides powerful query support of RFID object tracking and monitoring, and can be adapted to different RFID-enabled applications.
Abstract: RFID technology can be used to significantly improve the efficiency of business processes by providing the capability of automatic identification and data capture. This technology poses many new challenges on current data management systems. RFID data are time-dependent, dynamically changing, in large volumes, and carry implicit semantics. RFID data management systems need to effectively support such large scale temporal data created by RFID applications. These systems need to have an explicit temporal data model for RFID data to support tracking and monitoring queries. In addition, they need to have an automatic method to transform the primitive observations from RFID readers into derived data used in RFID-enabled applications. In this paper, we present an integrated RFID data management system -- Siemens RFID Middleware -- based on an expressive temporal data model for RFID data. Our system enables semantic RFID data filtering and automatic data transformation based on declarative rules, provides powerful query support of RFID object tracking and monitoring, and can be adapted to different RFID-enabled applications.

352 citations

Book
01 Jan 1999
TL;DR: This comprehensive guide and reference to GIS data modeling in general and to the geodatabase model in particular shows how to make decisions about modeling data that will inform each aspect of the GIS project.
Abstract: "Modeling Our World" is the comprehensive guide and reference to GIS data modeling in general and to the geodatabase model in particular. It shows how to make decisions about modeling data that will inform each aspect of the GIS project, from database design and data capture to spatial analysis and visual presentation. Illustrated with hundreds of full-color maps and figures, this book is essential reading for new users of ArcGIS.

333 citations

Patent
17 Dec 2004
TL;DR: In this paper, a method for data interchange includes summing up data associated with an electronic document to provide summed up data, representing the sum up data as one or more bar codes, and returning the one or multiple bar codes for display and data capture via a bar code scan from either a video display or a printed version of the bar codes.
Abstract: A method for data interchange includes summing up data associated with an electronic document to provide summed up data, representing the summed up data as one or more bar codes, and returning the one or more bar codes for display and data capture via a bar code scan from either a video display or a printed version of the one or more bar codes. The electronic document may be of any number of formats. The summing up may include taking data from multiple information fields to create the summed up data. The data may include data tags or a step of adding data tags to the data to assist in data interchange may be performed.

278 citations

Patent
21 Feb 2002
TL;DR: In this article, a data capture device associated with an individual or a location captures data related to a current event or affected site, which is sent to a centralized command center or distributed command centers where it is analyzed, resolved, correlated and repackaged for use by other parties.
Abstract: Arrangements for collecting, analyzing, consolidating and delivering consolidated and enhanced data from a plurality of sources relating to a current event, to a third party, and reserving the consolidated and enhanced data for internal use so as to create a commercial proactive emergency management and disaster response information system that can also be used for emergent commercial purposes. A data capture device associated with an individual or a location captures data related to a current event or affected site. Incoming data may include raw data, repackaged data, or value-added data from source inputs. Captured data is sent to a centralized command center or distributed command centers where it is analyzed, resolved, correlated and repackaged for use by other parties.

254 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20236
202214
202110
202031
201934
201833