Iveda’s new capabilities aim to transform existing intersection cameras into real-time traffic intelligence enabling cities to enhance existing infrastructure.
At a glance
Who: Iveda.
What: Iveda is expanding its AI platform with a new Traffic Management Module that provides real-time intersection monitoring, traffic optimisation and automated road safety analytics.
Why: To enable cities to transform existing intersection cameras into real-time traffic intelligence.
Where: Iveda is currently engaging with multiple US cities and transportation agencies for traffic and mobility pilot deployments this year.
Iveda, an AI video surveillance and smart city solutions provider, has announced a new Traffic Management Module within IvedaAI – expanding its platform into real-time intersection monitoring, traffic optimisation, and automated road safety analytics.
The launch comes as Iveda is actively engaging with multiple US cities and transportation agencies for traffic and mobility pilot deployments in 2026, positioning traffic management as a significant new growth opportunity within the company’s smart city roadmap.
Iveda reports that its reseller network has already expressed strong enthusiasm for bringing this new capability to their municipal and transportation customers.
“Imagine all the cameras you already see above intersections across America,” said David Ly, CEO of Iveda. “Today, most are limited to basic signal optimisation. With IvedaAI, those same cameras can instantly become tools for smarter traffic flow, faster alerts, and safer streets – without requiring cities to replace infrastructure. That simplicity is where the value is.”
“Instead of costly rebuilds, cities can enhance what they already own. We believe traffic management will become one of the next major adoption engines for IvedaAI, with meaningful revenue potential in the US and internationally”
Traffic management represents a major smart infrastructure opportunity. According to Grand View Research, the intelligent traffic management systems market is projected to grow to nearly $28bn by 2030, as cities accelerate adoption of AI-driven transportation technology.
Cities nationwide face growing pressure to reduce congestion, improve emergency response times, and enhance roadway safety, all while operating under constrained infrastructure budgets. Traditional traffic monitoring methods often depend on embedded road sensors, manual traffic studies, or specialised hardware systems that are costly to deploy, disruptive to install, and expensive to maintain over time.
Modern intersections across major US cities are already equipped with video-based traffic detection infrastructure deployed for signal optimisation. Iveda claims with the new Traffic Management Module, cities can extend these existing assets beyond basic signal control into real-time situational awareness, traffic analytics, and event detection, all helping to maximise prior investments without requiring new infrastructure.
Iveda reckons this launch represents a key step in the ongoing productisation of IvedaAI’s broad AI video intelligence capabilities. While IvedaAI has long served as a highly flexible platform capable of supporting countless smart city and security applications, the Traffic Management Module marks one of the company’s first dedicated, packaged solutions designed specifically for a single high-demand vertical.
“This is one of the clearest ROI use cases in smart cities,” added Ly. “Instead of costly rebuilds, cities can enhance what they already own. We believe traffic management will become one of the next major adoption engines for IvedaAI, with meaningful revenue potential in the US and internationally.”
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How does IvedaAI transform existing intersection cameras into traffic intelligence?What real-time traffic optimisation features does the Traffic Management Module offer?How can AI-driven traffic analytics improve emergency response times in cities?In what ways does the module enhance roadway safety without new infrastructure?What revenue opportunities does AI traffic management create for smart cities?