iStock 000027344975Larg fmt

August 2015

AAMVA’s Ignition Interlock and Facial Recognition Best Practice Guides

 

AAMVA will release two new guides this summer to promote the best practices for administration of ignition interlock and facial recognition programs. AAMVA members developed best practices for these two hot topic areas to fill the need for this type of guidance in the motor vehicle community.

Ignition interlock devices are becoming increasingly popular across North America.

In the past five years, the number of U.S. states in which they are required for first-time offenders has increased from 12 to 24. Because of this, many jurisdictions have looked to AAMVA for guidance on incorporating the devices into their programs. While there are three main types of programs—administrative programs in which the legislature directs the DMV to administer the devices, judiciary programs in which courts can mandate their use and hybrid programs that combine the two—the new Ignition Interlock Program Best Practices Guide focuses on what is of most concern to AAMVA members: administrative programs.

“The two intended audiences are those that already have a program and want to benchmark their current program against best and promising practices, and those who haven’t yet been charged by the legislature to administer a program but subsequently will be and will need to build a program from the ground up,” says Brian Ursino, director of law enforcement at AAMVA.

Topic areas covered in the Ignition Interlock Program Best Practices Guide include regulatory standards, manufacturer oversight, participant oversight, standardized reporting and model legislation. As an added bonus, AAMVA will also create a training video specifically for law enforcement who encounter ignition interlock devices on traffic stops.

Similarly, the new Facial Recognition Program Best Practices zeros in on a new technology that jurisdictions are beginning to adopt more readily. In fact, 43 AAMVA member jurisdictions currently use some type of facial recognition system. This technology helps combat identity fraud and theft, which are continuing problems in the United States and Canada, with estimated economic losses exceeding $24 billion a year.

“Facial recognition is a fraud prevention, detection and risk mitigation tool,” says Ursino. “It supports the one person, one record principle, and it also enhances the integrity of the driver’s license and non-driver ID cards.”

Topics covered in Facial Recognition Program Best Practices, which was written for both those who already use the technology and those who would be building a program from scratch, include program development and enhancement, implementation and operations, technology, training, and access and sharing of images. Additionally, the guide includes some nitty-gritty details relating to facial recognition technology, such as performance metrics, search engine technology and network bandwidth. AAMVA members can expect both new best practice guides to be available in August, coinciding with AAMVA’s Annual International Conference.