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License Plate Recognition Data

Our license plate recognition data serves the auto recovery industry and delivers big results. DRN’s cameras capture more data than any other company nationwide. Here’s how it works. The United States is home to the largest passenger vehicle market in the world with over 250 million vehicles. Every car has a license plate and License Plate Recognition (LPR) technology captures the plate number, vehicle location, time and date. LPR capture simply automates a process that has been done manually for years – capturing publicly available information. We take that LPR data and plug it into our auto recovery solution for fast repossessions and to help lenders recovery assets quickly and efficiently.

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Big Idea Led to Big Data Solutions

DRN was the brainchild of Todd Hodnett, who grew up working for his father in the vehicle repossession industry. After graduating from law school and working as General Counsel, he took a leave of absence to help his father run the repossession business. “I was used to working with sophisticated software to manage case law and I realized that the repossession industry needed something similar,” Todd said, “so, I hired programmers to write it.”

That software led to the creation of the largest database of cars out for repossession in the world. But repossession drivers had to enter the license plate numbers by hand in order to build the database. Then Todd saw an article that showed police using cameras to record and recognize license plates, allowing them to then run those numbers against the FBI’s large database of stolen cars.

“That’s when I realized that the same license plate recognition technology could be used with our database of cars out for repossession,” Todd said. Not long after that, Digital Recognition Network (DRN) was born.

DRN was formally established in January 2009. Since then the company has continued on a growth path fueled by expanded solutions that leverage DRN’s data for everything from auto recovery to insurance fraud investigation.

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