ITMAX Scales AI Traffic Systems to 17,000 Cameras
Malaysian firm ITMAX is expanding AI-powered traffic management with Nvidia technology across cities in several countries.
Updated on Nov. 4, 2026 in Artificial Intelligence
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ITMAX System Bhd is scaling its SamurAI V2 vision AI agents on Nvidia RTX PRO 6000 GPUs to support more than 17,000 cameras by 2027. The company is also integrating TeraSim, an open-source traffic simulation platform, to optimise signal timing.
Why it matters
Cities are increasingly turning data from cameras, sensors and operational systems into actionable insights to manage congestion. The approach reflects a broader push to use AI for real-time urban infrastructure decisions.
ITMAX reports peak-hour travel time reductions of up to 26% on traffic corridors where the technology has been applied, a vendor-reported figure. The company targets more than 17,000 cameras by 2027, but the baseline and measurement method behind the 26% figure are not disclosed.
The players
ITMAX System Bhd
A Malaysian company providing AI-powered traffic management infrastructure and applications to local authorities under long-term managed service arrangements.
Nvidia
A American semiconductor and AI computing company whose GPUs, Cosmos and Nemotron models, and Metropolis technology underpin the system.
The details
ITMAX provides infrastructure and AI applications through long-term managed service arrangements with local authorities. Its system analyses camera feeds to generate operational insights, drawing on Nvidia's Cosmos and Nemotron AI models and Metropolis video search and summarisation technology.
Timeline
Nov 3 to 5: Nvidia showcases developments at the Smart City Expo World Congress in Barcelona.
2027: ITMAX's target for supporting more than 17,000 cameras.
The Tech Race
The deployment builds on Nvidia's Metropolis video analytics platform, extending it into city-scale traffic management. Similar initiatives are underway in Spain, Poland and the United States, pointing to a growing international market for AI-driven urban infrastructure.
Commuters in cities adopting such systems may see signal timing changes that shorten peak-hour trips. Residents may also encounter more camera-based monitoring of roads as these deployments expand.
The takeaway
Cities are moving from collecting traffic data to acting on it in real time, and the measurable gains reported so far will determine how quickly other municipalities follow.
Further reading
Explore more on Artificial Intelligence and how cities are deploying it.
Source note: This article includes information reported by The Star.
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