Seeing Machines DMS with Colorado Anschutz Medical

As part of a collaborative project among DSRI, the University of Colorado Anschutz Medical Campus, Swinburne University (Australia), and Seeing Machines, the DSRI team integrated the DMS developed by Seeing Machines into a miniSim and installed it at the University of Colorado Anschutz Medical Campus. 

Data was collected from cannabis users prior to and after acute administration of cannabis. The DMS data is being examined to identify ocular measures or eye behaviors that are indicative of impairment. They are looking at what signals allow us to identify who is acutely under the influence of cannabis and whether signals of acute use are consistent between occasional and frequent users.

Alcohol Detection

Sponsored by the Insurance Institute for Highway Safety (IIHS), with partner Seeing Machines 

In a recent study with IIHS, the team is looking at the ability of DMS vision sensors to identify alcohol impairment while driving. Data collection wrapped up in late 2023, and data is being analyzed. 

“This is really a first look at the feasibility of vision-based sensors to differentiate alcohol in driving,” said Tim Brown, director of drugged driving research. 

The team is looking at how these visual signals change over the duration of alcohol being in the system following drinking and how that affects driving performance. The primary focus is on visual signals as they relate to blood alcohol content.

This article originally appeared in the 2023 DSRI Year in Review.