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Vehicle Theft Tracking, Detecting And Locking System Using Open CV

机译:使用开放式简历的车辆盗窃跟踪,检测和锁定系统

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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:近年来,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面部识别等技术。它为所有问题提供了最终的解决方案。这里使用人脸识别技术。在这种情况下,可以使用Open CV Python模块实时进行人脸识别和检测。人脸识别可以解决许多问题。车辆中已安装了车辆锁定和检测系统(或)设备。通过使用移动应用程序识别人脸并比较其数据中的人脸以检查该用户是否为自动拥有者。如果满足条件,则解锁车辆。否则,车辆已被锁定。如果有人试图破坏(或)损坏设备,它将自动发送消息并致电负责人。该系统可保护车辆免遭盗窃,并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,照明,背景,相机质量和性别。

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