基于图像的小区智能道闸系统设计毕业.doc

本科学生毕业论文 论文题目： 基于图像的小区智能道闸系统设计 学生姓名： 院 别： 信息与通信工程学院 专 业： 电子信息工程 指导教师： 吴健辉 2013 年 4 月 28 日 摘要 　　针对车辆出入仍采用人工管理方式的场所，尤其是车辆出入频繁的住宅小区，设计了这种基于图像的小区智能道闸管理系统。该系统以STC89C51单片机为整个系统的控制核心，采用车牌智能识别技术，分别对业主与非业主车辆进行智能管理，实现车辆不停车出入小区的功能。该系统包括车牌信息采集触发模块、车牌智能识别模块、单片机控制模块、道闸电机驱动模块以及电源稳压模块，用多种传感器及其控制电路，实现小区道闸系统的智能识别车牌、自动开启、智能报警等功能。经多次实验证明，正常光照(100～8流明)条件下，对车牌的综合识别概率不低于99.5%。可以满足智能道闸对于车牌识别等应用要求，具有一定的理论与现实意义。整个系统的电路结构简单，可靠性能高，测试结果满足功能要求。 关键词 图像；单片机；住宅小区；智能道闸；系统设计 Abstract For the occasion that still adopt manual management in vehicle access, especially in the residential area of the frequent vehicle access, designed and verified the intelligent manage -ment system based on image to recognize license plate. The control of entire system based on STC89C51 microcontroller core, through using the license plate intelligent recognition technology to manage owners and non-owners of vehicles, complete vehicles non-stop out of the the residential area. The system include the license plate information acquisition trig -ger module, license plate intelligent recognition module, microcontroller control module, the drive motor circuit , a power regulator-circuit, and the buzzer circuit , and a variety of sensor and control circuit,.the entire system automatically hunt, intelligent detection and ala -rm function.After repeated experiments prove that under normal light conditions (100~ 80 lumens), the license plate recognition probability of not less than 99.5%. To meet the smart Barrier application requirements for license plate recognition, has a certain theoretical and practical significance. The whole system is a simple circuit structure, high reliability, the test results meet the functional requirements. Key words Image; STC89C51; Residential area; Intelligent barrier; Management system 目录 摘要 I Abstract II 1 绪论 1 1.1 引言 1 1.2 道闸概述 1 1.3 道闸的发展历史及现状 2 1.4 论文研究内容及章节安排 3 2