Nvidia welcomes Hayden AI to ‘Metropolis,’ expanding computer vision program’s reach

Nvidia welcomes Hayden AI to ‘Metropolis,’ expanding computer vision program’s reach

Hayden AI, a provider of AI and ML technology for computer vision applications, announced it joined Nvidia Metropolis, a partner program focused on bringing a new vision AI applications to market.

According to the Nvidia, the Metropolis platform offers everything developers need to develop vision AI applications that improve operational and space safety and efficiency.

“We’re thrilled to join Metropolis and incorporate Nvidia’s vision AI tools into our patented perception platform,” said Chris Carson, co-founder and CEO of Hayden AI. “Nvidia tools enable us to collect and process data at the edge, enhancing our algorithms in real-time and helping protect data security by limiting the amount of data transmitted to the cloud.”

Adding Hayden AI to the Nvidia Metropolis ecosystem will help expand the reach of its technology and enable more customers to take advantage of its many benefits. Hayden AI’s advantages include its ability to process traffic violations in real-time at the edge, making it a privacy-first platform, according to Vaibhav Ghadiok, co-founder and executive vice president of engineering at Hayden AI.

Additionally, the company’s technology is constantly evolving and improving, thanks partly to Nvidia’s software development tools enabling faster development cycles.

The company says Hayden AI leverages the Nvidia Jetson edge AI platform to create artificial intelligence and machine learning solutions. These solutions may change how governments and businesses address real-world issues. For example, Hayden AI can help speed up transit, make streets safer and create a more sustainable future with its mobile perception system.

Recently, Nvidia made news for its intentions to transform Universal Scene Description (USD), an open-source 3D framework created by Pixar, into a foundational technology for the 3D internet and metaverse.

Before that, Nvidia announced several new capabilities for its Fleet Command managed edge AI service platform, including remote management of edge locations, multi-instance GPU assignment of apps to each instance, and a collaborative tool integration space.

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