FB pixel

AMS launches facial recognition breath-testing technology for drunk drivers


Alcohol Monitoring Systems (AMS) has developed a new breath testing technology that uses facial recognition software to keep tabs on drunk drivers.

The system, known as Automated Facial Intelligence, is a part of the company’s SCRAM Remote Breath portable testing unit that snaps an offender’s picture and digitally matches it to a baseline photo.  AMS will exhibit and conduct live demonstrations of its new device at the National Association of Drug Court Professionals conference July 15-17, at the Gaylord National Resort and Convention Center.

According to the company, existing systems require corrections officers to manually review and attempt to match photos to ensure that the right person is taking tests. In addition, says the company, offenders sentenced to on-going monitoring with the SCRAM system, could self-administer tests.

“Courts and law enforcement need a high-intensity technology, like our transdermal system, but they also need to be able to reliably monitor a whole host of alcohol-involved offenders—such as first-time drunk drivers and minors in possession—who require supervision, but not the intensity or cost of a 24/7 transdermal technology” Lou Sugo, Marketing VP for AMS said.

There have been numerous new deployments of facial recognition systems, and the global market is set for growth.

According to the report, Facial Recognition Market: Global Advancements, Emerging Applications, Business Models and Worldwide Market Forecast and Analysis (2013-2018), the global facial recognition market is estimated to grow from $1.92 billion in 2013 to $6.5 billion in 2018, at a whopping CAGR of 27.7%

Article Topics

 |   |   |   | 

Latest Biometrics News


One Reply to “AMS launches facial recognition breath-testing technology for drunk drivers”

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Read This Week

Featured Company

Biometrics Research

Biometrics White Papers

Biometrics Events

Explaining Biometrics