Design and Implementation of Vehicle Unlocking System Based on Face Recognition

被引：0

作者：

Wang, Zhenyang ^{[1
]}

Cheng, Zhiwei ^{[1
]}

Huang, Hongcheng ^{[1
]}

Zhou, Xiaolong ^{[1
]}

Liu, Yanbo ^{[2
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China

[2] Shanghai Jiao Tong Univ, Innovat Ctr, Shanghai, Peoples R China

来源：

2019 34RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2019年

关键词：

vehicle unlocking; convolutional neural network; face recognition; living body detection;

D O I：

10.1109/yac.2019.8787608

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There are some shortcomings in both safety and convenience for existing vehicle unlocking methods, mostly due to the separation between the vehicle and its key. As an improvement, we propose a vehicle unlocking system based on face recognition. The system includes hardware and software. The hardware scheme adopts a modular design, and try to make full use of existing devices of the autonomous driving system and ADAS. The software uses two different deep learning algorithms: FaceNet to verify facial identity, and modified ResNet to distinguish between real faces and secondary faces. A prototype is implemented using the embedded platform Raspberry Pi, and a series of tests are carried out on it. The prototype verifies the feasibility of the hardware scheme and the effectiveness of the algorithms. Test results show that the system is available day and night, quick in unlocking, safe and reliable.

引用

页码：126 / 131

页数：6

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