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

DOI

10.2991/jrnal.2017.3.4.13How to use a DOI?

Keywords

Android, robot, automatic vehicle patrolling, automatic plate recognition.

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Chian C. Ho
AU  - Shih-Jui Yang
AU  - Jian-Yuan Chen
AU  - Chang-Yun Chiang
AU  - Hsin-Fu Chen
PY  - 2017
DA  - 2017/03/01
TI  - Android-Based Patrol Robot Featuring Automatic Vehicle Patrolling and Automatic Plate Recognition
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 274
EP  - 278
VL  - 3
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.3.4.13
DO  - 10.2991/jrnal.2017.3.4.13
ID  - Ho2017
ER  -