CEVA and Brodmann17 boost AI performance for edge devices 20x: Page 2 of 2

October 19, 2017 // By Jean-Pierre Joosting
The combination of the CEVA-XM imaging and vision platform and deep learning technology from Brodmann17 brings ultra-low power deep learning vision to smartphones, drones, cars, surveillance cameras and more.

"Our patent-pending deep learning vision software is a perfect fit for the many CEVA customers and OEMs using CEVA-XM platforms to add intelligence to their devices," said Adi Pinhas, CEO of Brodmann17. "This first-of-its-kind combination of hardware and software achieves real-time performance that supports multi-cameras with a single DSP or higher resolutions."

"To truly maximize the performance and capabilities of AI in mass-market devices, it requires not just application-specific hardware like our CEVA-XM platforms, but also neural networks that are trained to be run efficiently on the edge embedded devices," said Ilan Yona, vice president of the vision business unit at CEVA. "Brodmann17's deep learning software provides the capability to create extremely light, accurate and flexible networks, trained from the ground up with embedded in mind."


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