DashCam Pay: A System for In-vehicle Payments Using Face and Voice
This addresses the problem of seamless and secure payments for vehicle passengers and manufacturers, but it appears incremental as it builds on existing biometric and payment technologies.
The paper tackles enabling in-vehicle payments by developing DashCam Pay, a system that uses face and voice biometrics captured via a dashcam to identify payers and process payments securely, with a prototype built in Android and preliminary analysis showing feasibility.
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.