DriverX Helps You

Driver Authentication

Ride-sharing
Auto Insurance
Mobile Apps

DriverX achieves continuous authentication of the driver's identity, so your app can (1) detect if the user is driving, and (2) allow the passenger to use it freely.

US Patent No. US11180154B2

Safe Navigation

Ride-sharing
Mobile Apps

We extract the safety critical information with privacy preserving technology. This allows your service (apps) secure your users' driving safety in an unprecedented way.

US Patent No. US11879744B2

Attentiveness Analytics

Ride-sharing
Auto Insurance
Mobile Apps
Driving Coaching

DriverX achieves, for the first time, attentiveness detection. This allows you to understand users behavioral pattern for improving safety and efficiency.

US Patent No. US9834222B2

Prevention of Distracted Driving

Auto Insurance
Mobile Apps

DriverX prevents distracted driving by disabling distractive phone use when the phone is in the driver seat and the car is moving. For this, Detection and Alarming of in-vehicle Phone Location (DAPL) achieves accurate in-cabin phone localization at low energy overhead.

US Patent No. US10841740B2

DriverX Support

SDK Support

Our scalable SDK makes creating your own analytics pipeline fast and easy!

On-device Machine Learning

Our biometrics engine helps achieve accurate driver authentication and more.

Data Contextualization

DriverX support data visualization, segmentation, and more.

Case Study

DriverX's COVID-19 Case Study

DriverX can help your mobility service adapt to the new normal in the pandemic. For example, overcoming limitations of existing face recognition methods.

Learn More

Founding Team

Starting from 2014, DriverX's core team was formed at the University of Michigan, Ann Arbor, next to the heart of the automotive and transportation industry.

Dongyao Chen

Ph. D. from the University of Michigan, Ann Arbor.

Kang G. Shin

Kevin & Nancy O'Connor Professor at the University of Michigan, Ann Arbor.

Get in Touch

contact@driverx.net