Ambarella Enables Artificial Intelligence on a Wide Range of Connected Cameras Using Amazon SageMaker Neo
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Until now, developers had to manually optimize ML models for devices based on Ambarella AI vision SoCs. This step could add considerable delays and errors to the application development process.
Customers can build an ML model using MXNet, TensorFlow, PyTorch, or XGBoost and train the model using Amazon SageMaker in the cloud or on their local machine. Then, they can upload the model to their AWS account and use Amazon SageMaker Neo to optimize the model for Ambarella SoCs. They can choose CV25, CV22, or CV2 as the compilation target. Amazon SageMaker Neo compiles the trained model into an executable that is optimized for Ambarella’s CVflow neural network accelerator. The compiler applies a series of optimizations that can make the model run up to 2x faster on the Ambarella SoC. Customers can download the compiled model and deploy it to their fleet of
“Ambarella is in mass production today with CVflow AI vision processors for the home monitoring, enterprise video security, and automotive markets,” said
Manufactured using an advanced 10-nanometer process, Ambarella’s CVflow SoC family enables the design of compact, high-performance vision systems with ultra-low power operation. For example, the Ambarella CV22 CVflow SoC delivers computer vision processing at full 4K or 8-megapixel resolution at 30 frames per second (fps), while its image signal processor (ISP) provides outstanding imaging in low light conditions and high-contrast scenes, further enhancing the computer vision capabilities of the chip. The CV22 also includes a suite of advanced security features to protect against hacking including secure boot, TrustZone®, I/O virtualization, and support for online upgrades over the air (OTA).
“AWS has the broadest and deepest set of ML and AI services focused on solving some of the toughest challenges facing developers. Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly,” said
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About
Ambarella’s products are used in a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power system on chips (SoCs) offer high-resolution video compression, advanced image processing, and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com
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Ambarella Contact: http://www.ambarella.com/about/contact/inquiries
Media Contact: Molly McCarthy, Valley Public Relations, mmcarthy@ambarella.com
Investor Relations Contact: Louis Gerhardy, Ambarella, lgerhardy@ambarella.com, (408) 636-2310