车载监控应用十分的广泛，在国内的应用已经达到高潮，主要应用于公交领域与运输领域。目前，国内很多城市都已经实现了公交车全面监控，很多城市也纷纷跟上步伐。它的出现更有力的解决交通问题，使真正实现智能无拥堵交通，使交通管理更加有序。停车场车牌识别系统应用随之快速发展。
Vehicle monitoring application is very extensive, in the domestic application has reached a climax, mainly used in the field of public transport and transport. At present, many cities have realized the comprehensive monitoring of the bus, and many cities have to keep up with the pace. It is the emergence of a more powerful solution to traffic problems, so that the real implementation of intelligent traffic management, so that traffic management more orderly. Car park license plate recognition system applications will be rapid development.
据介绍，停车场车牌识别系统 http://www.sdwoerde.com/ 即卡口系统采用先进的、高清晰度的前端图像采集技术，其图片有效分辨率比常规的CCTV系统提高数倍，解决以往系统前端采集设备成像质量差的弊病。系统建成后将可以实现对道路交通相关区域的实时监控，对各种交通行为进行自动记录取证，对嫌疑车辆进行自动布控，并在两端出入口执勤点进行拦截等功能，满足公安部门对社会治安管理和监控的需求。卡口系统的总体发展趋势向着高清卡口的方向发展，同时也不再由单一的交通管理部门使用，而是由公安、交警、刑侦等多部门协同使用。
According to reports, parking bayonet system, which is a kind of field of license plate recognition system using advanced, high-definition front-end image acquisition technology, the active picture resolution than conventional CCTV system is improved by a plurality of times, to solve the shortcomings in previous system front-end equipment acquisition poor imaging quality. After the completion of the system can achieve real-time monitoring of road traffic related area, all kinds of traffic behaviors of automatic recording of evidence, the suspect vehicle for automatic surveillance, and at both ends of the entrance on duty interception capabilities, to meet the needs of public security departments of public security management and monitoring. The overall trend of the development of bayonet system definition bayonet toward the direction, but also no longer by the traffic management departments in single use, but by the police, traffic police, criminal investigation departments collaborative use.
因此，为提高对刑事、治安案件的快速响应、处理及进一步预防能力，设置卡口系统对于社会治安具有重大的现实意义。利用高科技装备建设高清治安卡口系统，不但可以及时准确地记录机动、非机动车辆、行人信息，随时掌握各出入口的机动和非机动车辆车辆流量及状态，行人的状态，进行车辆动态布控和行人的动态监控，对各种违法车辆以及被盗抢、肇事逃逸、作案嫌疑车辆（存于“黑名单”库中）实时报警，而且还可以监测重点地段的行人状态和被盗车辆、肇事车辆或罪犯所乘车辆进出城市时间和行经路线状况，这提升了公安一线打击违法犯罪的能力和战斗力，从而为快速侦破案件提供了科学、有效的依据。依托城市公安管理信息网络系统和交通指挥中心管理系统，更可将分布于主要交通治安卡口管理系统融合成一个有机的综合性网络平台，实行数据共享，为授权用户提供远程服务和Web查询，使指挥中心可随时调用各卡口信息。
Therefore, in order to improve the rapid response of criminal and security cases, treatment and further prevention ability, set the bayonet system for social security is of great practical significance. The use of high-tech equipment construction HD security monitoring system, not only can timely and accurately record the motor or non motor vehicles, pedestrians, keep abreast of the entrance of the motor and non motor vehicle and pedestrian traffic state, the state, dynamic monitoring of vehicle dynamic surveillance and pedestrians, on all kinds of illegal vehicles and stolen, hit and run the vehicle, suspected of committing the crime (stored in the "black list" Library) real-time alarm, but also pedestrian state key sections of the monitoring and the stolen vehicle, the vehicle or the criminal vehicle import and city time and routes, which enhance the police frontline combat crimes and fighting capacity, thus providing science, an effective basis for the rapid detection of cases. Relying on the city public security management information system network and traffic command center management system, will be distributed on the main traffic policing bayonet management system merge into an organic integrated network platform and the implementation of data sharing, as an authorized user to provide remote services and web query, so that the command center can always call the bayonet information.
停车场车牌识别系统工作原理
Working principle of vehicle identification system for parking lot
车辆检测：可采用埋地线圈检测、红外检测、雷达检测技术、视频检测等多种方式感知车辆的经过，并触发图像采集抓拍。
Vehicle detection: using after buried coil detection, infrared detection, radar detection, video detection in a variety of ways to perceive vehicle, and trigger image acquisition to capture.
图像采集：通过高清摄像抓拍主机对通行车辆进行实时、不间断记录、采集。
Image acquisition: through high-definition video capture, the host real-time traffic vehicle uninterrupted recording, acquisition.
预处理：噪声过滤、自动白平衡、自动曝光以及伽马校正、边缘增强、对比度调整等。
Preprocessing: noise filtering, automatic white balance, automatic exposure, gamma correction, edge enhancement, contrast adjustment, etc..
车牌定位：在经过图像预处理之后的灰度图像上进行行列扫描，确定车牌区域。
The license plate location: after the image preprocessing, the image is scanned and the license plate region is determined.
字符分割：在图像中定位出车牌区域后，通过灰度化、二值化等处理，精确定位字符区域，然后根据字符尺寸特征进行字符分割。
Character segmentation: after locating the license plate in the image, by gray scale, binarization and so on, the precise location of the character region, and then according to the character of the character of the character of the segmentation.
字符识别：对分割后的字符进行缩放、特征提取，与字符数据库模板中的标准字符表达形式进行匹配判别。
Character recognition: feature extraction, feature extraction, and standard character expression form of character database template.
结果输出：将车牌识别的结果以文本格式输出。
Results output: the results of the license plate recognition in text format output.