PLUS uses Tapway AI, Nvidia GPUs for automated number plate recognition (ANPR) for RFID toll tracking

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In November, highway concessionaire PLUS Malaysia announced it had rolled out automated number plate recognition (ANPR) to track vehicles passing through North-South Highway toll plazas. The system is meant to ensure motorists are paying their …

Now, technology giant Nvidia has detailed the computer vision and artificial intelligence tech found in PLUS’ ANPR system, which incorporates the company’s proprietary graphics processing units and software. VehicleTrack, developed by Malaysian startup Tapway, can read a number plate and detect a car’s class, make and colour in just 50 milliseconds – even when it’s travelling at up to 40 km/h.

Specifically, the company wanted to prevent users from using one payment method to enter the highway and another to exit, presumably in preparation of. This was meant to stop motorists from either trying to cheat the system or being double charged. “We showed them how with computer vision — just a camera and AI — you could solve all that,” said Lim.

“Triton is a real lifesaver for us,” said Lim. “We had some scaling problems doing inference and multithreading on our own and couldn’t scale beyond 12 video streams in a server, but with Triton we easily handle 20 and we’ve tested it on up to 50 simultaneous streams,” he said.

 

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