摘要
随着人工智能技术的迅猛发展以及高速公路车辆爆炸式增长,传统的单机嵌入式车牌号识别系统已经无法满足海量车牌号快速识别与处理需求,而且基于单机嵌入式的车牌号识别系统无法对汽车品牌型号等进行识别。本文通过介绍基于人工智能深度学习的图像识别技术,并利用于车牌识别系统,再与传统的车牌识别系统的技术优缺点进行对比,分析了基于人工智能的图像识别在高速公路车牌及车型识别系统中运用的可行性,同时对具体的方案进行了探讨。
With the rapid development of artificial intelligence technology and the explosive growth of highway vehicles,the traditional single-vehicle embedded vehicle number identification system has been unable to meet the needs of rapid identification and processing of massive license plate numbers,and the embedded vehicle number identification system based on single machine cannot identify the car brand model.In this paper the image recognition technology based on deep learning of artificial intelligence is introduced,which is used in the license plate recognition system.Then the advantages and disadvantages of the traditional license plate recognition system are compared,and the feasibility of applying image recognition based on artificial intelligence in the license plate and vehicle identification system of the highway are analyzed,and the detailed schemes are further discussed and explored.
作者
裴月玲
张涛
PEI Yue-ling;ZHANG Tao(China Highway Engineering Consultants Corporation,Beijing 100089,China;Tech Traffic Engineering Co.Ltd.,Beijing 100083,China)
出处
《公路》
北大核心
2019年第8期277-281,共5页
Highway
关键词
高速公路
人工智能
图像识别
车牌号
车型
expressway
artificial intelligence
image recognition
license plate number
type of vehicle