Biometric fixed vehicles is the future of payments
Know the future of automotive biometric payment systems. Biometrics is making our lives safer and secured during these stressful times due to covid-19. Read to know more:
Researchers found that off-the-shelf dash cams that are integrated with biometric systems have the possibility of turning vehicles into secure cash registers using certain phone apps. The new found technology named as DashCam Pay can recognize multiple people sitting inside the car and request payments separately. Vehicles are already being sold with such systems but they are purely installed if the owner is willing. Studies show that this new system can be very efficient in fast food restaurants. A commercial version likely would be an Android app. The core system could be used to facilitate in-person transactions as well, according to the researchers.
The researchers find that people in a vehicle can address DashcamPay just in the way one addresses Amazon’s Alexa home service difference, in this case it is for goods and service for vehicles on the road. Google intelligence finds that in-car payments can be the main key to push the automotive biometrics industry. As covid-19 pandemic has changed the way we shop, dine or move around, restaurants are now taking more drive-in options. Food being the most obvious purchase, automotive biometrics can help to make order and pay without actually getting out of the vehicle. Expanding DashCam Pay’s usability, the system was also found to be useful in fuel stations and retail shops. People can link their device to DashCam Pay to use it.
The devices would use face and voice biometrics to positively identify users as well as to place and accurately pay for orders. Experiments with the system found that the outcome was 99.1% true positive detection with a false positive rate of .01%. The results have encouraged manufacturers to make better with DashCam Pay and upgraded features. Mycroft AI, which listens to Hey DashCam command, detects and gives an output of 98.2 percent at a false positive rate of 1 percent on test data.
Experiments with DeepSpeech, Mozilla’s open-source speech recognition algorithm was able to minimize word error by almost 4 percent. For voice recognition, an off-the-shelf system was enlisted, scoring a true positive ID rate of 98.4 percent at a false positive ID rate of 0.1 percent.
The system provides a secure privacy feature, which is used in biometric comparison protocol of DashCam and mobile device of the vehicle occupants. Data is protected by having biometric data captured by the DashCam and stored in the user’s device. Only the system would check for matches and authenticate any requests. Screencheck, a popular biometric solution provider in Saudi Arabia is collecting data regarding the technology and is setting its plan to introduce biometric solutions for automobiles in Saudi Arabia soon.