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Android-based patrol robot featuring automatic license plate recognition

机译:基于Android的巡逻机器人,具有自动车牌识别功能

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摘要

This work develops an Android-based robot featuring automatic license plate recognition and automatic license plate patrolling. The automatic license plate recognition feature combines 4 self-developed novel methods, Wiener-deconvolution vertical edge enhancement, AdaBoost plus vertical-edge license plate detection, vertical edge projection histogram segmentation stain removal, and customized optical character recognition. Besides, the automatic license plate patrolling feature also integrates 3 novel methods, HL2-band rough license plate detection, orientated license plate approaching, and Ad-Hoc-based remote motion control. Implementation results show the license plate detection rate and recognition rate of the Android-based robot are over 99% and over 98%, respectively, under various scene conditions. Especially, the execution time of license plate recognition, including license plate detection, is only about 0.7 second per frame on the Android-based robot.
机译:这项工作开发了一个基于Android的机器人,该机器人具有自动牌照识别和自动牌照巡逻功能。自动车牌识别功能结合了4种自行开发的新颖方法,维纳反卷积垂直边缘增强,AdaBoost加垂直边缘车牌检测,垂直边缘投影直方图分割污渍去除和定制的光学字符识别。此外,自动车牌巡逻功能还集成了3种新颖的方法:HL2波段粗车牌检测,定向车牌逼近和基于Ad-Hoc的远程控制。实施结果表明,在各种场景条件下,基于Android的机器人的车牌检测率和识别率分别达到99%以上和98%以上。特别是,在基于Android的机器人上,包括车牌检测在内的车牌识别执行时间仅为每帧约0.7秒。

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