论文标题
仪表板支付：使用面部和声音的车辆付款系统
DashCam Pay: A System for In-vehicle Payments Using Face and Voice
论文作者
论文摘要
我们介绍了正在进行的开发一个名为Dashcam Pay的系统的工作，该系统可以使用面部和语音生物识别技术以无缝且安全的方式以无缝且安全的方式付款。车辆中安装的插件设备（仪表车）用于捕获乘客的面部图像和语音命令。隐私保护生物识别比较技术用于比较仪表库捕获的生物识别数据与通过无线界面（例如蓝牙或Wi-Fi Direct）通过无线接口招募的生物识别数据来比较付款人以确定付款人。确定付款人后，使用付款人的移动设备上的注册付款证书进行付款。我们对使用市售仪表车收集的数据进行初步分析，以显示构建所提出系统的可行性。在Android中也开发了所提出系统的原型。 Dashcam Pay可以由仪表板或车辆制造商作为软件解决方案集成，以实现开放循环付款。
We present our ongoing work on developing a system, called DashCam Pay, that enables in-vehicle payments in a seamless and secure manner using face and voice biometrics. A plug-and-play device (dashcam) mounted in the vehicle is used to capture face images and voice commands of passengers. Privacy-preserving biometric comparison techniques are used to compare the biometric data captured by the dashcam with the biometric data enrolled on the users' mobile devices over a wireless interface (e.g., Bluetooth or Wi-Fi Direct) to determine the payer. Once the payer is identified, payment is conducted using the enrolled payment credential on the mobile device of the payer. We conduct preliminary analysis on data collected using a commercially available dashcam to show the feasibility of building the proposed system. A prototype of the proposed system is also developed in Android. DashCam Pay can be integrated as a software solution by dashcam or vehicle manufacturers to enable open loop in-vehicle payments.
