IRD counts on video-based AI classifying system

First published in Intertraffic Innovation News - April 30, 2020

IRD is offering a revolutionary new video-based traffic counting and classifying system that uses artificial intelligence (AI). The system is easy to install on existing poles at the roadside. A user connects to the system using a tablet via wi-fi, enters a station description (number of lanes), and reviews the camera position. That is all that is required to start counting. The system easily handles classification over three lanes in a single direction, or four lanes bi-directional at highway speeds.

IRD says its solution can out-perform radar systems when classifying vehicles into six size-based classes and is capable of classifying vehicles based on the standard 13-category FHWA class definitions used in the US. Video performs better than radar at counting traffic in highly congested or stop-and-go conditions.

Data is delivered via reporting software, a real-time data stream, or in standard spreadsheet formats. Data is verifiable through video review, with each vehicle separately captured and placed in order at the top of the video with the class and lane identified.

The top features of this revolutionary system include no video uploading for third-party processing; high-speed traffic data on three-lane roads; bi-directional traffic data; and safe and simple operation. Additionally, IRD’s new system is a convenient tool for quality control/assurance with saved video and images that provides reliable performance day or night in all weather conditions.