Rekor upgrades vehicle identification software, CPU processing speed increased by 100%

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According to foreign media reports, Rekor Systems (Rekor), a leading supplier of innovative license plate recognition systems, announced an upgrade to its OpenALPR vehicle recognition software.

(Image source: Rekor Systems)

Rekor Systems (Rekor), a leading provider of innovative license plate recognition systems, announced an upgrade to its OpenALPR vehicle recognition software. The newly released software increases the central processing unit (CPU) processing speed by 100%, allowing customers to deploy twice the number of cameras while using the same computing hardware, thereby reducing costs.

Other upgrades to the software include improvements to Nvidia graphics processing unit (GPU) performance, which can reduce CPU and GPU memory usage and reduce the number of mobile devices reading road signs and billboards. Currently, OpenALPR has an accuracy rate of 99.02% for reading US license plates, and can improve the recognition accuracy of all license plates based on public benchmarks.

In addition, the new software offers an enhanced user experience, including a dispatch view of real-time alerts in a map view, text message alerts, usability enhancements for analytical reports and overall efficiency improvements.

Currently, OpenALPR software has a powerful and expanding license plate database covering 69 countries, and can recognize license plate data, color, model and body type in real time. The software is designed for hosting on a private network and for software developers to build applications with embedded license plate recognition. It can automatically recognize license plates and vehicles using any webcam and can be installed on a local PC. The recognition results will be displayed on a web page accessible from anywhere, which is very simple and fast.