8K AI Vision SoC Handles Multi-Sensor Perception

Ambarella's CV7 targets multi-camera applications like 360-degree cameras.

Ambarella's CV7 system-on-chip (SoC) is built around a quad-core Arm Cortex-A73 with a 64-bit DRAM interface. It incorporates hardware-accelerated video decode and encode that can manage two 8Kp30 streams or a 4Kp240 stream using standard H.264, H.265, MJPEG encoding.

The chip also features Amberella's CVflow AI accelerator designed to handle vision language models (VLMs) and an image signal processor (ISP). On top of that, it supports advanced signal processing, high dynamic range (HDR), dewarping for fisheye cameras, and 3D motion-compensated temporal filtering (MCTF).

The CV7 targets a range of vision applications from 360-degree cameras to robotics and surveillence systems.

“Joining our wide portfolio of edge AI SoCs, with more than 39 million shipped to date, the CV7 enables consumer and enterprise security camera developers to deliver the most advanced imaging features and the highest edge AI performance, for improved video analytics and higher image quality in their next-generation products,” said Fermi Wang, President and CEO of Ambarella.

He added, "Additionally, this new SoC’s extremely low power consumption reduces thermal-management requirements for smaller form factors and longer battery life across a broad range of AIoT applications, thanks to its 4-nm process technology and Ambarella’s proprietary AI SoC architecture, which is purpose-built for the edge.”

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William G. Wong

William G. Wong

Senior Content Director - Electronic Design and Microwaves & RF

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I earned a Bachelor of Electrical Engineering at the Georgia Institute of Technology and a Masters in Computer Science from Rutgers University. I still do a bit of programming using everything from C and C++ to Rust and Ada/SPARK. I do a bit of PHP programming for Drupal websites. I have posted a few Drupal modules.  

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