基于树莓派的车辆防盗人脸识别系统,速度控制和障碍物检测

B. Balakrishnan, Punit Suryarao, Rashmi Singh, Sakshi Shetty, Sparsha Upadhyay
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引用次数: 6

摘要

本文提出了一种基于物联网技术的基于人脸认证和障碍物检测的车辆防护系统的开发方案。在以前的系统中,许多验证功能,如指纹、面部特征和虹膜扫描,用于各种安全应用。很少有项目使用射频发射器和接收器来检测和控制速度。现有系统的缺点是,有些系统需要用户记住密码,这对每个人来说都不是一个方便的选择。另一种用来识别用户身份的产品也被生产出来,那就是RFID卡。黑客甚至可以修改RFID数据并用他们自己的数据代替。一些系统使用指纹来识别一个人的身份。生物识别指纹锁没有得到广泛应用的主要原因是价格昂贵,而且指纹有可能被伪装或损坏。有些系统检测到车辆前方的障碍物,向驾驶员发出警报,提醒他们离开,而不采取任何具体的行动来避开障碍物。本系统基于树莓派4B开发板、Pi摄像头、超声波传感器等接口,采用人脸检测进行身份验证,对授权车辆驾驶员进行全面访问。该车辆在检测到给定范围内的障碍物时停止。超声波传感器的存在提高了效率和可靠性,使车辆能够检测到接近的物体,从而停止车辆。
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Vehicle Anti-theft Face Recognition System, Speed Control and Obstacle Detection using Raspberry Pi
This paper presents a proposal for the development of a vehicle guard system using face authentication and obstacle detection based on IoT technology. In previously existing systems many verification features like Fingerprint, facial features, and iris scanning are used for various security applications. Few projects used RF transmitters and receivers to detect and control the speed. The drawbacks of the existing systems are, that some systems require the user to remember the password, which is not a convenient option for everybody. Another product also been produced to identify user identity that is an RFID card. Hackers can even alter RFID data and replace it with their own. Some systems use fingerprints to identify a person’s identity. The main reason why biometrics fingerprint lock is not widely used is because of the high price tag and there is possibility of disguised or damaged fingerprints. Some systems detect the obstacle in front of the vehicle, alarm the driver, alert them to move away, and do not take any specific action to avoid the obstacle. The proposed system uses face detection for Identity Verification and gives full access to authorized vehicle drivers based on the interface of Raspberry Pi 4B development board, pi-camera, Ultrasonic sensor, etc. This vehicle stops on detection of an obstacle in the given range. The presence of the ultrasonic sensor increases the efficiency and reliability by enabling the vehicle to detect an approaching object before it and thus stop the vehicle.
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