![]() ![]() ![]() Tapway’s VehicleTrack software works in all light and weather conditions with a consistent 97 percent accuracy. Using NVIDIA GPUs and software, Tapway trained and ran AI models that could read a vehicle’s license plate and detect its class, make and color in just 50 milliseconds, about one tenth of one eye blink - even if it’s traveling at up to 40 kilometers/hour while approaching a toll plaza. “We showed them how with computer vision - just a camera and AI - you could solve all that,” said Lim. Even then some drivers scammed the system, exchanging cards on the highway to get lower tolls. Drivers pay using four different systems, and often enter the highway using one payment system, then exit using another, making it hard to track vehicles.ĭedicated lanes for different vehicle classes forced users to stop, slowing traffic, so too booth operators could identify the specific vehicle. The highways charge five classes of tolls depending on vehicle type. A national plan called for enabling car, taxi, bus and truck traffic to flow freely across multiple lanes - but that posed several big challenges. Malaysia’s largest operator of toll highways, PLUS, wanted to reduce congestion for its more than 1.5 million daily travelers. Today his company, Tapway, is riding a wave of computer vision and AI adoption in Southeast Asia.Ī call for help in 2019 with video analytics led to the Kuala Lumpur-based company’s biggest project to date. Working as an aerospace engineer in Malaysia, Chee How Lim dreamed of building a startup that could really take off.
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