Intellivix to Deploy AI Queue Counting at 15 Hydrogen Stations

How the system works

Until now, drivers had little way of knowing how many vehicles were queuing before they got to a station. Staff counted cars by hand and entered the figure into the point-of-sale system, which meant updates could arrive late or be missed altogether.

The new setup analyzes camera footage, tracking the position and direction of vehicles to tell cars merely passing by from those actually waiting to refuel. It also recognizes vehicle size and shape, so it can report queues by type, such as passenger cars, buses and trucks.

The counts flow through the station's point-of-sale system to the institute's hydrogen distribution information system, called Haing, and to its digital customer satisfaction system. Drivers can consult the data before heading out. Live video from the stations is also planned, with faces and license plates automatically blurred by AI in any footage made public.

What it means

Station operators will no longer need to count and key in vehicles manually. Intellivix says it plans to use the data gathered in the project to predict charging wait times and improve station operations later on.

The project extends the company's video analytics, previously used in traffic and public safety monitoring, into clean-energy facilities. An Intellivix representative said the core of the project is that AI automatically tallies queue information that operators once checked and entered themselves, and that the company intends to expand AI work that improves the operation of eco-friendly energy facilities.