Kapsch TrafficCom has updated its ANPR engine for the North American market, improving performance, versatility, and cost efficiency.
Building on the success of regional ANPR engines introduced in Europe and Australia in 2023, the new ANPR engine is designed to serve multiple projects across the region, offering accuracy and reliability, using deep learning technology to enhance recognition capabilities.
“A newly developed deep neural network specifically for North America ensures precise identification of license plates from 58 jurisdictions, including all mainland US states, Hawaii, Mexico, and the most relevant Canadian provinces,” says Chris Jones, director of video transaction optimization at Kapsch TrafficCom North America.
JB Kendrick, president at Kapsch TrafficCom North America, adds: “Our newest and most robust engine can accurately identify over 150 plate types, focusing on the most widely used designs and ensuring easy scalability to include additional types as needed. While it is not a stand-alone product, it is a key building block for our existing and future roadside tolling clients. These investments in continuous enhancements exemplifies our conviction to improve all our technologies.”
North America presents unique challenges for ANPR systems due to the vast variety of license plate designs, syntaxes, and allowed characters. The new Kapsch TrafficCom engine has been trained to handle these complexities, a testament to the power of cross-regional collaboration within Kapsch TrafficCom.
