Create unique products, fast with Ambarella’s multi-core DSP architecture.

Highly scalable, Ambarella is ideal for customers balancing software flexibility, hardware performance acceleration and low power needs. 

• Leverage complete SoC solutions – embedded high-speed ARM CPUs, computer vision acceleration, and on-chip peripherals
• Enable simultaneous recording and live streaming with multi-stream encoding
• Reduce power needs on battery-powered devices, without sacrificing video / image quality

Ambarella CVflow® chip architecture is based on a deep understanding of core computer vision algorithms. Unlike general-purpose CPUs and GPUs, CVflow includes a dedicated vision processing engine programmed with a high-level algorithm description, allowing Ambarella architecture to scale performance to trillions of operations per second with extremely low power consumption.

With CVflow, customers can efficiently map their own CNN networks trained with industry-standard tools (e.g., Caffe, TensorFlow, PyTorch) to run on Ambarella processors.

Stereo processing transforms the world from a flat 2D plane into a full 3D environment. This not only provides a richer, denser representation of the target scene, but also allows the detection of generic obstacles that the system hasn’t been trained to recognize, making navigation safer and more effective for warehouse robots, autonomous vehicles, and more.

Ambarella technology products are designed to be deployed in embedded platforms on the edge (e.g., battery-powered cameras), where power consumption is a critical concern. Ambarella SoCs and CPUs consistently outperform competitive solutions in power efficiency—sometimes by 5x or more—while delivering equal or superior results.

Ambarella compression technologies dramatically reduce data transmission size, slashing storage costs and bandwidth usage.

One of the hallmarks of Ambarella processors is our image processing pipeline. Encompassing everything from HDR to EIS to dewarping, our state-of-the-art ISP ensures that every frame of every video is exquisite, improving safety and enhancing the viewing experience.

From drones to robots, from taxis to long-haul semi trucks, Ambarella’s vision processors were designed to revolutionize the way we work and travel. Our hardware platforms deliver the flexibility required to implement all levels of automation, including partial, conditional, high, and full autonomy.

As an AI silicon company offering SoCs for applications such as ADAS and autonomous driving, Ambarella has implemented an array of internal processes and procedures to ensure that their functional safety-certified products comply with ISO 26262.

These strict processes and procedures touch every aspect of the work Ambarella does—from technical documentation to software engineering to VLSI—and have become an inextricable part of Ambarella culture, from top to bottom.

The Ambarella CV72S SoC's combination of high performance and low power consumption makes it an ideal solution for various applications, including automotive, security cameras, drones, and other intelligent vision systems.

Designed for accurate 3D environmental modeling and real-time neural network performance, the CV2 chip enables advanced robotics and industrial applications, including autonomous robots.

Designed for front-facing stereovision ADAS cameras, as well as computer vision ECUs for L2+ and higher levels of autonomy, the CV2FS chip features CVflow® AI processing and ASIL C compliance to enable safety-critical applications.

Featuring CVflow® AI processing, the CV20AQ chip targets stereo-camera advanced driver assistance systems (ADAS), multi-camera L2+ systems, multi-camera driver monitoring systems (DMS) and occupancy monitoring solutions (OMS), multi-channel electronic mirrors with blind spot detection, and intelligent parking assistance systems.

Ambarella’s CV22 SoC combines advanced image processing with our powerful CVflow® computer vision architecture to deliver the next generation of intelligent robotics and industrial applications.

The CV22AQ delivers next-generation image processing, 12MP30 video encoding, and CVflow® computer vision performance in an optimized, low-power design.

Featuring CVflow® AI processing and ASIL C compliance to enable safety-critical applications, the CV22FS chip targets forward-facing monocular ADAS cameras, as well as computer vision ECUs for L2+ and higher levels of autonomy.

The CV25 chip combines advanced image processing and real-time CVflow® computer vision performance for intelligent industrial/robotics applications.

With the lowest power consumption in the CVflow® family, the CV25AQ combines advanced image processing, 6MP30 video encoding, and CVflow computer vision performance.

Ambarella’s AEC-Q100 qualified CV28AQ SoC combines image processing, 6MP30 video encoding/decoding, and CVflow® computer vision processing in a single, low-power design, making it an ideal choice to power the next generation of intelligent automotive

Our CV28M SoC is designed for intelligent applications at the edge, including smart home security, retail monitoring, consumer robotics, and occupancy monitoring. The chip’s high-performance CVflow® architecture provides deep neural network (DNN) computer vision processing and 4KP30 video encoding, enabling an array of computer vision-based devices.

An industry-leading combination of low power and high performance, the H22AQ SoC delivers image/video processing and 8MP30 video encoding/decoding in a single design.

The H32AQ SoC combines 6MP30 video encoding, image/video processing, and a quad-core processor in a single, low-power design.

Engineered for electronic mirrors and automotive video recording systems, the A12AQ processor provides superior visibility even in low-light or high-contrast environments, delivering a combination of advanced image processing, high dynamic range (HDR), 3D noise filtering, smart auto exposure, and high-resolution encode performance.

• CNN / DNN-based processing: detection, classification, and more
• CNN toolkit for easy porting of neural networks implemented in Caffe, TensorFlow, PyTorch, or ONNX frameworks
• 8KP30 video performance
• Enhanced secure boot with TrustZone® and secure memory, TRNG, OTP, Arm TBSA compliance, DRAM scrambling, and virtualization