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Vehicle Theft Tracking, Detecting And Locking System Using Open CV

机译:车辆盗窃跟踪,检测和锁定系统使用Open CV

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In recent days GPS and GSM module used to theft detection and vehicle tracking system. we added technology like, face recognition based on vehicle theft tracking and detection system. Its provides an ultimate solution for this all problems. The face recognition technology is used here. In this face recognition and detection in real time by using Open CV Python Module. Face recognition may solve many problem. Vehicle locking & detection system (or) device is installed in the vehicle. By using mobile application to recognize the face and compares face within their data to checked whether, that user is an automated owner (or) not. If the conditions is true, unlock the vehicle. Otherwise the vehicle has been locked. If any person trying to break (or) damaging the device, it will automatically sending the message and call to the responsible person. This system secures vehicle from theft as well as allowing users to view the theft details thereby highlight the theft details and saving the data in a USB drive. Parameter includes such as position, pose, lightening, background, camera quality and gender.
机译:最近的日子GPS和GSM模块用于盗窃检测和车辆跟踪系统。我们添加了基于车辆盗窃跟踪和检测系统的人物识别。它为此提供了终极解决方案。这里使用的人脸识别技术。在这种面部识别和实时检测,使用Open CV Python模块实时检测。面部识别可能解决了很多问题。车辆锁定和检测系统(或)装置安装在车辆中。通过使用移动应用程序来识别面部并将其与其数据内的面部进行比较,以检查该用户是否是自动所有者(或)。如果条件是真的,请解锁车辆。否则车辆已被锁定。如果尝试破坏(或)损坏设备的人,它将自动发送消息并调用对负责人。该系统可保护车辆从盗窃以及允许用户查看盗窃细节,从而突出显示盗窃细节并将数据保存在USB驱动器中。参数包括位置,姿势,闪电,背景,相机质量和性别。

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