Android-Based Patrol Robot Featuring Automatic Vehicle Patrolling and Automatic Plate Recognition

DOI
  • Ho Chian C.
    Department of Electrical Engineering, National Yunlin University of Science and Technology
  • Yang Shih-Jui
    Department of Electrical Engineering, National Yunlin University of Science and Technology
  • Chen Jian-Yuan
    Department of Electrical Engineering, National Yunlin University of Science and Technology
  • Chiang Chang-Yun
    Department of Electrical Engineering, National Yunlin University of Science and Technology
  • Chen Hsin-Fu
    Department of Electrical Engineering, National Yunlin University of Science and Technology

Description

This work develops an Android-based patrol robot featuring Automatic Vehicle Patrolling (AVP) and Automatic Plate Recognition (APR). The AVP feature integrates 3 novel methods, wheel-wheelcover-based AdaBoost wheel detection, contour-wheel-oriented vehicle approaching, and Ad-Hoc-based remote motion control. The APR feature integrates 4 novel methods, Wiener-deconvolution vertical edge enhancement, AdaBoost plus vertical-edge plate detection, vertical-edge horizontal-projection histogram-segmentation stain removal, and customized optical character recognition. Implementation results show the vehicle detection rate and plate recognition rate of the Android-based patrol robot are over 96% and over 94%, respectively, under various scene conditions. On the other hand, the average execution time of AVP and APR of the Android-based patrol robot takes at most 8 second per round and at most 0.8 second per frame, respectively.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390845713072096512
  • DOI
    10.5954/icarob.2017.os3-4
  • ISSN
    21887829
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
  • Abstract License Flag
    Disallowed

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