EDMONTON, Alberta, April 26, 2016 – Intelligent Imaging Systems announces that it recently received a patent from the U.S. Patent and Trademark Office for its electronic commercial vehicle identification system.

The identification system, called Vehicle Waveform Identification (VWI), uses magnetometers to measure the unique magnetic “fingerprints” of commercial vehicles as they pass over an array of sensors mounted in the roadway, in the pavement of exit ramps or throughout weigh and inspection stations.

“For law enforcement agencies looking to reduce the amount of equipment on their ramps, or who are looking for ways to manage lane sorting on the mainline, the IIS Vehicle Waveform Identification system is an ideal solution,” said Brian Heath, president of Intelligent Imaging Systems.

“After vehicles enter a weigh or inspection station, VWI gives commercial vehicle inspection officers a way to monitor individual vehicles in a way they never have before,” Heath said. “We see the award of this patent as a clear indication that Intelligent Imaging Systems offers a unique and innovative approach to help inspection officers accurately identify commercial vehicles and sort them for different enforcement actions as they exit the highway and move through the inspection site.”

Standard devices such as static and weigh-in-motion weight sensors, overhead cameras, DOT number and license readers, and thermal imaging systems may be deployed at different locations or even the same location, Heath said. However, data from those different systems can’t be assigned to individual trucks for enforcement sorting unless they always remain in the same order. Lane switching and passing vehicles mean that trucks don’t always remain in single file after passing over roadway sensors, he added.

“VWI, however, provides officers the confidence they need to accurately sort, track and tag commercial vehicles no matter where they go,” Heath said. “That’s because even identical trucks and trailers have unique magnetic signatures. The VWI can recognize those unique signatures so it can assign the right corresponding enforcement data. It can also obtain matching sensor readings or images of those vehicles from standard devices and other weigh and inspection stations with a more than 96 percent accuracy.”

VWI and several other IIS technologies, including the Smart Roadside vehicle identification system, were incorporated into the design of the Cordelia Truck Scale facility on eastbound U.S. Interstate 80, between Cordelia and Fairfield, California. The Intelligent Transportation Society of America (ITS America) in 2014 awarded the Cordelia Truck Scales Modernization Project with its 2014 Best of ITS Awards in the category of best new innovative product, service or application. IIS is among several companies and agencies that worked on the relocation of the eastbound Cordelia weigh station, which opened in July of 2013 and now processes more than 2 million commercial vehicles annually.  Also in 2014, the California Transportation Foundation named the Cordelia project as its safety project of the year – http://transportationfoundation.org/transportation-awards/.

IIS has been a provider of road safety equipment and software services since 2003. As a supplier and integrator of advanced imaging systems, IIS provides transportation and law enforcement agencies with advanced tools to attain their enforcement goals more efficiently and effectively.


About Intelligent Imaging Systems

Intelligent Imaging Systems Inc. is a supplier and integrator of some of the most advanced imaging systems today, providing the transportation and law enforcement agencies with the industry’s most technologically advanced tools in an effort to make the goals of safety more efficient and effective.

Intelligent Imaging Systems’ core markets are transportation safety and security, and law enforcement and public security. Our leading-edge inspection system solutions focus on improving the efficiency and effectiveness of agency field operations in environments that demand reliability and performance against the constraints of limited time and resources.


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