Ambarella Announces AI-Based Image Signal Processing

By Tiera Oliver

Associate Editor

Embedded Computing Design

January 05, 2022

News

Ambarella Announces AI-Based Image Signal Processing

Ambarella, Inc., an AI vision silicon company, announced its new Artificial Intelligence Image Signal Processor (AISP).

The company is showcasing this technology at its invitation-only event during CES 2022 in Las Vegas this week, running on its CV2 edge AI perception systems on chip (SoCs).

Drawing on its ISP processing and CVflow AI engine, Ambarella’s new AI based ISP architecture uses neural networks to augment the image processing done by the hardware ISP integrated into its SoCs. This approach enables color imaging with low light at very low lux levels and minimal noise, a 10 to 100X improvement over traditional ISPs, and new levels of high dynamic range (HDR) processing with more natural color reproduction and higher dynamic range.

Initially demonstrated on the CV2 SoCs during CES this week, the new AISP will become available across Ambarella’s entire CVflow SoC portfolio at resolutions up to 4K. The applications of this technology encompass all of the company’s target markets, where low-light and HDR processing are critical. This includes security and automotive cameras, where full-color night vision is a key operating point, and where better low-light and HDR enable reductions in external illumination, the use of lower cost sensors, and cleaner video for both human viewing and analytics processing.

“Being able to see clearly in low-light or high-contrast conditions is key to robust camera systems,” said Les Kohn, Ambarella’s CTO and co-founder. “Traditional camera systems have had to live with noisy or dark black and white video in low-light conditions, and dark shadows or blown-out highlights in high contrast conditions. Both of these cases result in the loss of details that are detrimental to both human viewing and AI applications. With our new AISP technology, we increase the useful range of camera systems while reducing the total system cost to build high quality cameras.”

A good example of this new technology in action, which will be demonstrated during CES running on the CV2, is a typical security camera trying to identify a license plate at night. With noisy video, the text on the license plate would be unreadable, even to the best AI algorithm. And with black and white video, all color information on the car would be lost. By using Ambarella’s AISP technology and restoring colors at the source before AI processing, the license plate can be clearly read and the color of the car identified.

The AISP processing happens in parallel on the silicon with other higher-level AI applications running on Ambarella’s CVflow AI engine. This enables customers to build their next generation of cameras with both higher visual quality and more accurate AI algorithms, while staying within the low power budgets required by small embedded systems.

Other Key features of the AISP include:

  • Support for mainstream sensors
  • Seamless switching between different lighting conditions, including day, night, and HDR scenes
  • A set of tuning tools for sharpening, CE, AE, AWB, etc.
  • Ability to run in parallel with other AI algorithms on the CVflow engine
  • Advanced operational modes to fit application-specific use cases

The new AISP is expected to be made available across Ambarella’s entire CVflow SoC portfolio during 2022, with different price and performance options. 

For more information, please visit www.ambarella.com


Read more of Embedded Computing Design’s CES 2022 coverage at https://www.embeddedcomputing.com/ces-2022 or stay up to date by following the @embedded_comp twitter handle.

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Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

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