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Automation System Architecture For Barcode Region Detection Algorithm

Published: 22 March 2016 Publication History

Abstract

Conventional barcode region detections are generally using guideline at computer vision. Guideline is the simple method but efficient. As the demand increases in the automation system, guideline method needs to replace. Hardware has strong point at the parallel operation. Using parallel operation, hardware can process iterative operation efficiently. In this paper, we propose system architecture for barcode region detection algorithm using APU and FPGA. This architecture can easily adapted application system. FPGA reduce overload easily and efficiently for APU.

References

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R. A. John and K. Raahemifar. 2015. Designing a 2D color barcode. In Proceedings of the 28th Canadian Conference on Electrical and Computer Engineering (Halifax, NS, May 3 - 6, 2015). IEEE. 297--301
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Xiong Deng et al. 2015. Performance of barcode scanner using peak detection with interference from LED lamps. In proceedings of the IEEE Symposium on Communications and Vehicular Technology in Benelux (Luxembourg City, Luxembourg, November 25 - 25, 2015). IEEE. 1--6
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cover image ACM Other conferences
ICC '16: Proceedings of the International Conference on Internet of things and Cloud Computing
March 2016
535 pages
ISBN:9781450340632
DOI:10.1145/2896387
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 22 March 2016

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Author Tags

  1. Automation system
  2. Barcode
  3. FPGA
  4. Hardware Architecture
  5. Region of Interest
  6. System on a Chip

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ICC '16

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Overall Acceptance Rate 213 of 590 submissions, 36%

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