...
首页> 外文期刊>Open Computer Science >Vehicle Security Systems using Face Recognition based on Internet of Things
【24h】

Vehicle Security Systems using Face Recognition based on Internet of Things

机译:车辆安全系统使用面部识别的基于事物

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Nowadays, the automobile sector is one of the hottest applications, where vehicles can be intelligent by using IoT technology. But unfortunately, these vehicles suffer from many crimes. Hence it has become a big challenge for the IoT to avoid such these crimes from professional thieves. This paper presents a proposal for the development of a vehicle guard and alarm system using biometric authentication based on IoT technology. Whereas, for vehicle security issues; the proposed system VSS ? IoT gives only full access for authorized vehicle’s driver based on the interface of a Raspberry Pi 3 Model B + development board, Pi camera, PIR sensor, and smart-phone. Therefore, if the proposed system detects an unauthorized person inside the vehicle, then the system will notify and send his image to vehicle’s owner and/or to a police workstation through the Internet, as well as, its location in case the vehicle is stolen or damaged. The proposed system is tested on two datasets that are ORL dataset and our dataset. The experimental results of the VSS ? IoT showed that the accuracy is 98.2% on ORL dataset, whereas 99.6% when applied on our dataset. Besides, the V SS ? IoT enhances the sensitivity to 97.7% which is important for real-time. As well as the result demonstrated that the proposed system took shorter time 0.152 sec under different illumination conditions, when the value of the threshold is 3 * 10~(3)and 3.50 * 10~(3). Therefore, the VSS ? IoT is very robust and reliable for face recognition when deployed on the low-power processor.
机译:如今,汽车扇区是最热的应用之一,其中车辆可以通过使用物联网技术智能。但不幸的是,这些车辆遭受了许多犯罪。因此,IOT已经成为避免从专业盗贼这样犯罪的巨大挑战。本文介绍了基于物联网技术的生物识别认证开发车护卫和报警系统的建议。虽然,对于车辆安全问题;建议的系统与? IOT仅基于Raspberry PI 3型号B +开发板,PI相机,PIR传感器和智能手机的界面完全访问授权车辆的驱动程序。因此,如果所提出的系统检测到车辆内未经授权的人,那么系统将通过互联网向车辆的所有者和/或警察工作站通知并发送他的图像,以及其位置,以防车辆被盗或损坏的。所提出的系统在两个数据集上测试了Orl DataSet和我们数据集的数据集。 VSS的实验结果? IOT表明,ORL数据集的准确性为98.2%,而在我们的数据集上应用时99.6%。此外,V SS?物联网增强了对97.7%的灵敏度,这对于实时很重要。此外,结果表明,当阈值的值为3 * 10〜(3)和3.50 * 10〜(3)时,所提出的系统在0.152秒下缩短了0.152秒。因此,VSS?在低功耗处理器上部署时,IOT非常稳健可靠地识别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号